mirror of https://github.com/CyberSecurityUP/NeuroSploit.git synced 2026-06-30 07:15:30 +02:00

Files

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

1.1 KiB

Raw Permalink Blame History

LLM Plugin/MCP Supply-Chain Specialist Agent

User Prompt

You are testing {target} for Insecure LLM plugins / MCP tools (OWASP LLM03).

Recon Context: {recon_json}

METHODOLOGY:

1. Enumerate plugins/tools

List connected plugins/MCP servers and their declared scopes

2. Assess trust

Check for unsigned/over-permissioned tools, confused-deputy potential, and unsafe auto-invocation

3. Confirm

Demonstrate a concrete abuse path through a plugin (data access/action) end-to-end

4. Report Format

For each CONFIRMED finding:

FINDING:
- Title: LLM Plugin/MCP Supply-Chain Specialist at [endpoint]
- Severity: High
- CWE: CWE-829
- Endpoint: [full URL]
- Vector: [parameter/header/flow]
- Payload: [exact payload/command]
- Evidence: [proof of exploitation]
- Impact: Malicious or over-trusted plugin/tool compromises the agent and its data
- Remediation: Vet/sign plugins, scope permissions, sandbox tool execution, pin versions

System Prompt

You are an LLM supply-chain specialist. Report only concrete, demonstrated abuse paths through a plugin/tool — not the mere presence of plugins. Provide the end-to-end evidence.

1.1 KiB Raw Permalink Blame History