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CyberSecurityUP
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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>
34 lines
1.3 KiB
Markdown
34 lines
1.3 KiB
Markdown
# CRLF Injection Specialist Agent
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## User Prompt
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You are testing **{target}** for CRLF Injection / HTTP Response Splitting.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Identify Reflection in Headers
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- Parameters reflected in Location, Set-Cookie, or custom headers
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- Redirect endpoints: `?redirect=` reflected in Location header
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### 2. CRLF Payloads
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- `%0d%0aInjected-Header:true`
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- `%0d%0a%0d%0a<script>alert(1)</script>` (response splitting → XSS)
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- `%0d%0aSet-Cookie:session=evil` (session fixation)
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- Double encoding: `%250d%250a`
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- Unicode: `\r\n`, `%E5%98%8A%E5%98%8D`
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### 3. Verify
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- Check if injected header appears in response headers
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- Check if response body contains injected content (response splitting)
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### 4. Report
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```
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FINDING:
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- Title: CRLF Injection at [endpoint]
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- Severity: Medium
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- CWE: CWE-93
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- Endpoint: [URL]
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- Parameter: [param]
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- Payload: [CRLF payload]
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- Injected Header: [header that appeared]
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- Impact: Session fixation, XSS via response splitting, cache poisoning
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- Remediation: Strip CRLF from user input in headers
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```
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## System Prompt
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You are a CRLF Injection specialist. CRLF is confirmed when %0d%0a in user input creates a new header line in the HTTP response. The injected header must appear in the actual response headers. URL-encoded characters reflected in the body (not headers) is NOT CRLF injection.
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