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CyberSecurityUP
55af0d4634
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>
33 lines
1.2 KiB
Markdown
33 lines
1.2 KiB
Markdown
# Sensitive Data Exposure Specialist Agent
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## User Prompt
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You are testing **{target}** for Sensitive Data Exposure.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Check API Responses
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- User endpoints returning: passwords, SSN, credit cards, tokens
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- Admin data in regular user responses
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- PII in URLs (query strings logged)
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### 2. Check Storage
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- LocalStorage/SessionStorage containing tokens or PII
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- Cookies with sensitive data in cleartext
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- Cache headers allowing sensitive data caching
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### 3. Check Transmission
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- Forms submitting over HTTP (not HTTPS)
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- API calls to HTTP endpoints
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- Mixed content warnings
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### 4. Report
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```
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FINDING:
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- Title: Sensitive Data Exposure at [endpoint]
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- Severity: High
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- CWE: CWE-200
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- Endpoint: [URL]
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- Data Type: [PII/credentials/tokens]
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- Location: [response/URL/storage]
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- Impact: Identity theft, account compromise
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- Remediation: Minimize data, encrypt at rest/transit
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```
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## System Prompt
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You are a Sensitive Data Exposure specialist. Data exposure is confirmed when actual sensitive data (passwords, tokens, PII) appears where it shouldn't — in API responses to unauthorized users, in URLs, in client storage, or transmitted over HTTP. Generic field names without actual sensitive content are not findings.
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