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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI-powered penetration testing assistant using local LLM on linux (Parrot OS)
| Date | Stars |
|---|---|
| 2026-07-31 | 3357 |
| 2026-08-02 | 3368 |
| 2026-08-03 | 3368 |
| 2026-08-06 | 3368 |
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# METATRON AI-powered penetration testing assistant using local LLM on linux (Parrot OS) # 🔱 METATRON ### AI-Powered Penetration Testing Assistant <p align="center"> <img src="screenshots/banner.png" alt="Metatron Banner" width="800"/> </p> <p align="center"> <img src="https://img.shields.io/badge/Python-3.x-blue?style=for-the-badge&logo=python"/> <img src="https://img.shields.io/badge/OS-Parrot%20Linux-green?style=for-the-badge&logo=linux"/> <img src="https://img.shields.io/badge/AI-metatron--qwen-red?style=for-the-badge"/> <img src="https://img.shields.io/badge/DB-MariaDB-orange?style=for-the-badge&logo=mariadb"/> <img src="https://img.shields.io/badge/License-MIT-yellow?style=for-the-badge"/> </p> --- ## 📌 What is Metatron? **Metatron** is a CLI-based AI penetration testing assistant that runs entirely on your local machine — no cloud, no API keys, no subscriptions. You give it a target IP or domain. It runs real recon tools (nmap, whois, whatweb, curl, dig, nikto), feeds all results to a locally running AI model, and the AI analyzes the target, identifies vulnerabilities, suggests exploits, and recommends fixes. Everything gets saved to a MariaDB database with full scan history. --- ## ✨ Features - 🤖 **Local AI Analysis** — powered by `metatron-qwen` via Ollama, runs 100% offline - 🔍 **Automated Recon** — nmap, whois, whatweb, curl headers, dig DNS, nikto - 🌐 **Web Search** — DuckDuckGo search + CVE lookup (no API key needed) - 🗄️ **MariaDB Backend** — full scan history with 5 linked tables - ✏️ **Edit / Delete** — modify any saved result directly from the CLI - 🔁 **Agentic Loop** — AI can request more tool runs mid-analysis - 🚫 **No API Keys** — everything is free and local -📤 Export Reports Metatron allows you to export scan results into clean, shareable report formats by selecting '2.view history'->select slno and export 📄 PDF — professional vulnerability reports 🌐 HTML — browser-viewable reports --- ## 🖥️ Screenshots <p align="center"> <img src="screenshots/main_menu.png" alt="Main Menu" width="700"/> <br><i>Main Menu</i> </p> <p align="center"> <img src="screenshots/scan_running.png" alt="Scan Running" width="700"/> <br><i>Recon tools running on target</i> </p> <p align="center"> <img src="screenshots/ai_analysis.png" alt="AI Analysis" width="700"/> <br><i>metatron-qwen analyzing scan results</i> </p> <p align="center"> <img src="screenshots/results.png" alt="Results" width="700"/> <br><i>Vulnerabilities saved to database</i> </p> <p align="center"> <img src="screenshots/export_menu.png" alt="Export Menu" width="700"/> <br><i>Export scan results as PDF and or HTML</i> </p> --- ## 🧱 Tech Stack | Component | Technology | |------------|-------------------------------------| | Language | Python 3 | | AI Model | metatron-qwen (fine-tuned Qwen 3.5) | | Base Model | huihui_ai/qwen3.5-abliterated:9b | | LLM Runner | Ollama | | Database | MariaDB | | OS | Parrot OS (Debian-based) | | Search | DuckDuckGo (free, no key) | --- ## ⚙️ Installation ### 1. Clone the repository ```bash git clone https://github.com/sooryathejas/METATRON.git cd METATRON ``` ### 2. Create and activate virtual environment ```bash python3 -m venv venv source venv/bin/activate ``` ### 3. Install Python dependencies ```bash pip install -r requirements.txt ``` ### 4. Install system tools ```bash sudo apt install nmap whois whatweb curl dnsutils nikto ``` --- ## 🤖 AI Model Setup ### Step 1 — Install Ollama ```bash curl -fsSL https://ollama.com/install.sh | sh ``` ### Step 2 — Download the base model ```bash ollama pull huihui_ai/qwen3.5-abliterated:9b ``` > ⚠️ This model requires at least 8.4 GB of RAM. If your system has less, use the 4b variant: > ```bash > ollama pull huihui_ai/qwen3.5-abliterated:4b > ``` > Then edit `Modelfile` an
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fe07708761937bd2, desc:local llm