OmYarewar

OmYarewar / PHANTOM

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👻 AI-Powered Pentesting Command Center — Autonomous security testing with real-time streaming, self-improving AI, unlimited tool iterations, and beautiful dark UI

ai ai-agent autonomous-agent command-center cybersecurity
10
1
69% credibility
Found May 11, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

PHANTOM is a local web interface for an AI agent that performs penetration testing by executing system commands, web research, file management, and tool installation autonomously.

How It Works

1
👀 Discover PHANTOM

You hear about this smart helper that automates security checks on your computer like a virtual expert.

2
📥 Bring it home

You follow easy steps to get the program ready on your Linux machine, just like installing any app.

3
🧠 Wake up the AI

You connect a thinking service like a smart brain so it can understand and plan your security tasks.

4
🔓 Unlock full power

You enter your admin password once to let it run important checks that need higher access.

5
💬 Start chatting

You open the sleek dark web page in your browser and type what you want it to check or research.

6
⚡ Watch it go

It thinks step-by-step, runs tests, searches the web, and shows live results with smooth animations.

🏆 Get expert insights

You receive clear reports on weaknesses, saved memories of findings, and tips to stay secure.

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Star Growth

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AI-Generated Review

What is PHANTOM?

PHANTOM is a local AI-powered pentesting command center built in JavaScript with Node.js backend and Vite frontend. You chat in a sleek dark UI, tasking it with security scans, exploit research, or system commands—it autonomously chains tools like nmap or sqlmap, installs missing ones, and streams live output. It solves manual pentest drudgery by handling unlimited iterations via any OpenAI-compatible LLM, from GPT-4o to local Ollama.

Why is it gaining traction?

Unlike basic AI powered chatbots on GitHub, PHANTOM offers real-time tool execution with sudo support, persistent memory for targets and creds, and self-improvement via execution traces. Developers dig the web research, anti-bot scraping, and skill imports—no tool limits mean it grinds through complex recon without babysitting. The emergency stop and workspace system make it feel production-ready for ai powered pentesting tools.

Who should use this?

Red teamers running authorized engagements, bug bounty hunters automating recon, or security researchers prototyping attacks. Ideal for Linux ops folks tired of scripting nmap chains manually, or devs exploring ai powered pentesting alongside tools like GitHub Copilot for offensive workflows.

Verdict

Promising early prototype for ai powered pentesting—grab it if you're into experimental security AI, but with just 10 stars and 0.699999988079071% credibility score, expect rough edges like untested edge cases. Polish the docs and add tests to boost adoption among ai powered projects GitHub.

(198 words)

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