JoasASantos/NeuroSploit
NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations. Leveraging the capabilities of large language models (LLMs).
Built on a FastAPI backend with a 3-stream autonomous agent architecture (reconnaissance, junior tester, tool runner), NeuroSploit executes tests in isolated per-scan Kali Linux containers and validates findings through an anti-hallucination pipeline with negative controls and proof-of-execution checks. It chains exploits automatically (e.g., SSRF to internal access, SQLi to database-specific payloads), detects and bypasses 16 WAF signatures, and adapts strategy mid-scan based on endpoint responsiveness and diminishing returns. The React frontend provides real-time WebSocket monitoring of scan progress and container health, while the backend supports multiple LLM providers (Claude, GPT, Gemini, Ollama) and exposes 13 REST API routers for scan management, scheduling, and report generation (HTML/PDF/JSON).
942 stars. Actively maintained with 1 commit in the last 30 days.
Stars
942
Forks
239
Language
Python
License
—
Category
Last pushed
Feb 24, 2026
Commits (30d)
1
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