mirror of
https://github.com/CyberSecurityUP/NeuroSploit.git
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e0935793c5
116 modules | 100 vuln types | 18 API routes | 18 frontend pages Major features: - VulnEngine: 100 vuln types, 526+ payloads, 12 testers, anti-hallucination prompts - Autonomous Agent: 3-stream auto pentest, multi-session (5 concurrent), pause/resume/stop - CLI Agent: Claude Code / Gemini CLI / Codex CLI inside Kali containers - Validation Pipeline: negative controls, proof of execution, confidence scoring, judge - AI Reasoning: ReACT engine, token budget, endpoint classifier, CVE hunter, deep recon - Multi-Agent: 5 specialists + orchestrator + researcher AI + vuln type agents - RAG System: BM25/TF-IDF/ChromaDB vectorstore, few-shot, reasoning templates - Smart Router: 20 providers (8 CLI OAuth + 12 API), tier failover, token refresh - Kali Sandbox: container-per-scan, 56 tools, VPN support, on-demand install - Full IA Testing: methodology-driven comprehensive pentest sessions - Notifications: Discord, Telegram, WhatsApp/Twilio multi-channel alerts - Frontend: React/TypeScript with 18 pages, real-time WebSocket updates
41 lines
843 B
Plaintext
Executable File
41 lines
843 B
Plaintext
Executable File
# NeuroSploit v3 - Backend Requirements
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fastapi>=0.109.0
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uvicorn[standard]>=0.27.0
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pydantic>=2.5.0
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pydantic-settings>=2.1.0
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# Database
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sqlalchemy[asyncio]>=2.0.0
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aiosqlite>=0.19.0
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# HTTP Client
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aiohttp>=3.9.0
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# LLM APIs
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anthropic>=0.18.0
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openai>=1.10.0
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# Docker SDK (Kali Sandbox)
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docker>=7.0.0
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# Utilities
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python-multipart>=0.0.6
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python-jose[cryptography]>=3.3.0
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# Report Generation
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jinja2>=3.1.0
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weasyprint>=60.0; platform_system != "Windows"
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# Scheduling
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apscheduler>=3.10.0
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# RAG - Semantic Search (optional, enhances knowledge retrieval)
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# pip install chromadb sentence-transformers # Best: semantic embeddings
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# pip install scikit-learn numpy # Good: TF-IDF statistical similarity
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# No install needed for BM25 (default, zero deps, works out of box)
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# Development
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httpx>=0.26.0
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pytest>=7.4.0
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pytest-asyncio>=0.23.0
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