sooryathejas

AI-powered penetration testing assistant using local LLM on linux (Parrot OS)

486
96
69% credibility
Found Apr 03, 2026 at 32 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

METATRON is a local AI tool that automates security reconnaissance on targets, analyzes results for vulnerabilities and fixes, and stores everything in a personal database.

How It Works

1
🖥️ Discover Metatron

You find Metatron, a helpful AI sidekick for checking the security of networks and websites you own.

2
📥 Bring it home

You get Metatron onto your security testing computer and get it ready to use.

3
🧠 Wake the AI

You start the smart thinking brain that works right on your machine, no internet needed.

4
🗄️ Set up your journal

You create a simple notebook to store all your security check results and history.

5
🔍 Pick a target

You type in the web address or network you have permission to test, feeling like a security detective.

6
Choose check depth
Quick scan

Run basic checks to spot obvious issues fast.

🐌
Deep dive

Include extra detailed probes for hidden problems.

7
🤖 Let AI analyze

The AI reviews all the gathered info, spots weaknesses, suggests fixes, and rates the risks.

📊 Review your report

You get a clear list of vulnerabilities, fixes, and overall safety score, all saved for future reference.

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Star Growth

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AI-Generated Review

What is METATRON?

METATRON is a Python CLI tool for AI-powered penetration testing on Parrot OS Linux, turning raw recon scans into actionable vuln reports. Feed it a target IP or domain, pick tools like nmap, whois, whatweb, curl, dig, or nikto, and a local LLM via Ollama analyzes outputs to spot vulnerabilities, suggest exploits and fixes, plus DuckDuckGo searches for CVEs—all stored in a MariaDB database with full history. No cloud APIs or subscriptions needed; it's an offline AI-powered penetration testing assistant for quick, private scans.

Why is it gaining traction?

Unlike cloud-dependent AI tools, METATRON runs 100% local with a fine-tuned Qwen model, letting the AI loop back for more tools mid-analysis without exposing data. Developers dig the agentic workflow: real-time vuln parsing, editable DB entries, and zero-cost setup on Parrot OS. As an AI-powered GitHub project in the hacker space, it hooks pentesters tired of manual log sifting.

Who should use this?

Security researchers on Parrot OS running authorized recon who want AI to parse nmap/nikto dumps and recommend fixes. Pentest learners practicing offline workflows, or red teamers needing a lightweight, local AI-powered penetration testing platform for quick target assessments without API bills.

Verdict

Grab it if you're on Parrot OS and need a no-fuss local pentest AI—docs and setup are solid for 16 stars—but its 0.699999988079071% credibility score flags early-stage risks like untested edge cases. MIT-licensed and functional for basics; fork and harden for production use.

(198 words)

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