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https://github.com/CyberSecurityUP/NeuroSploit.git
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CyberSecurityUP
a5badefc29
Engine:
- Fix: inject IS_SANDBOX=1 so Claude Code's --dangerously-skip-permissions
works under root (real backend runs were exiting rc=1 immediately)
- models: expand to 40 models / 13 providers, tagged CLI vs API
(NVIDIA NIM, DeepSeek, Mistral, Qwen/DashScope, Groq, Together, OpenRouter,
Ollama, Gemini) — Qwen/DeepSeek/Llama usable via API
- backends: on_start callback surfaces the exact argv ("what runs behind it")
- orchestrator: require a Playwright screenshot per confirmed finding; collect
results/activity.json; auto-generate reports after a run
- report.py: HTML always + PDF via Typst engine (.typ source emitted too)
Web dashboard (webgui/, stdlib only — no npm/build):
- Sidebar dashboard (PentAGI-style): Run / Agents / Insights / Reports / Settings
- Multi-target runs; live execution console + per-task activity; finding cards
with screenshots; backend+provider+model pickers (CLI & API)
- Agents tab: browse 213 + add new .md agents from the UI
- Insights: interactive RL-weight + severity charts
- Reports: download/preview PDF + HTML
- Settings/API: execution mode, per-provider API keys, orchestrator, verbosity
- Endpoints: /api/agents (GET/POST), /api/rl, /api/config, /api/reports,
/reports/* + /shots/* static serving
Cleanup: retire replaced web stack (frontend React, FastAPI backend, core
orchestration, old test) to legacy/. Active engine + GUI are fully standalone.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
44 lines
880 B
Plaintext
Executable File
44 lines
880 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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# Document Processing
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PyPDF2>=3.0.0
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