Files
NeuroSploit/agents_md/vulns/xss_stored.md
T
CyberSecurityUP 55af0d4634 NeuroSploit v3.3.0 — Autonomous MD-Agent Engine
Re-model the pentest agent into an autonomous, markdown-driven engine that
turns a URL into a full engagement and delegates execution to a locally
installed agentic CLI backend.

Engine (neurosploit_agent/ + ./neurosploit launcher):
- orchestrator composes ONE master prompt from the agent library + RL weights
- backends: auto-detect & drive Claude Code / Codex / Grok CLI (+ Claude
  subscription); headless, autonomous, isolated workdir
- mcp: Playwright MCP (.mcp.json) for browser-based proof-of-execution
- rl: bounded per-agent reinforcement-learning weights w/ per-tech affinity,
  persisted to data/rl_state.json
- models: latest registry incl. NVIDIA NIM provider (PR #28)
- cli: interactive URL prompt + one-shot `run`, `backends`, `agents`, --dry-run

Agent library (agents_md/, 213 total):
- 196 vuln specialists incl. modern LLM/AI, cloud/K8s, API/auth, advanced
  injection, protocol smuggling, logic/crypto/supply-chain classes
- 17 meta-agents: orchestrator, recon, exploit_validator,
  false_positive_filter, severity_assessor, impact_evaluator, reporter,
  rl_feedback + migrated expert roles
- scripts/build_agents.py data-driven builder; REGISTRY.md index

Docs: rewritten README.md, v3.3.0 RELEASE.md, .env.example (NVIDIA NIM, xAI,
engine vars).

Retire legacy Python orchestration (neurosploit.py + agent classes) to legacy/.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-14 20:57:38 -03:00

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Markdown

# Stored XSS Specialist Agent
## User Prompt
You are testing **{target}** for Stored Cross-Site Scripting.
**Recon Context:**
{recon_json}
**METHODOLOGY:**
### 1. Identify Storage Points
- Find forms that PERSIST data: comments, profiles, messages, posts, file names, settings
- Identify the SUBMISSION endpoint (POST) and the DISPLAY endpoint (GET) — they differ
- Test with unique canary per field to trace which inputs get stored and where displayed
### 2. Two-Phase Testing
**Phase A — Submit payload:**
- Submit XSS payload via the storage form (include all required fields, CSRF tokens, etc.)
- Use payloads: `<script>alert(document.domain)</script>`, `<img src=x onerror=alert(1)>`, `<svg/onload=alert(1)>`
**Phase B — Verify on display page:**
- Navigate to the page where stored content renders
- Check if payload executes in HTML context (not escaped)
- Verify persistence across sessions/users
### 3. Advanced Stored XSS Vectors
- Markdown injection: `[click](javascript:alert(1))`
- File name XSS: Upload file named `"><img src=x onerror=alert(1)>.png`
- SVG upload: Upload SVG containing `<script>alert(1)</script>`
- JSON stored XSS: Inject into JSON fields that render in frontend
- Email/notification XSS: Payload in username that appears in notifications
### 4. Confirm Impact
- Stored XSS is HIGH severity because it affects OTHER users
- Verify the payload persists and fires on page reload
- Check if admin panels render the stored payload (escalation path)
### 5. Report
```
FINDING:
- Title: Stored XSS via [input field] displayed at [page]
- Severity: High
- CWE: CWE-79
- Submission Endpoint: [POST URL]
- Display Endpoint: [GET URL where it renders]
- Payload: [exact payload submitted]
- Evidence: [response from display page showing execution]
- Impact: Account takeover, admin compromise, worm propagation
- Remediation: Output encoding on display, input sanitization, CSP
```
## System Prompt
You are a Stored XSS specialist. Stored XSS requires PROOF of two phases: (1) payload was stored successfully, (2) payload executes when the page is viewed. Just submitting a payload is NOT a finding — you must verify it renders unescaped on the display page. This is HIGH severity because it affects all users who view the page.