prutxvi

prutxvi / cybersentry

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🤖 Autonomous AI-powered ethical hacking agent powered by Llama 3.1 70B on NVIDIA NIM

33
5
69% credibility
Found May 06, 2026 at 33 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

CyberSentry is an AI agent that performs ethical security audits on authorized websites by running multiple scanning tools and generating detailed vulnerability reports.

How It Works

1
🔍 Discover CyberSentry

You hear about a smart helper that checks websites for safety issues, like finding weak spots before bad guys do.

2
💻 Get it on your computer

You bring the tool home to your computer and make sure it's ready to run security checks.

3
🔑 Link the smart brain

You connect it to a thinking AI service so it can make smart decisions during the check.

4
🌐 Choose your website

You pick a website you own or have permission to test, keeping everything legal and safe.

5
🚀 Launch the audit

You start the process, and the tool begins exploring your site with its built-in checkers.

6
👀 Watch it work

You see live updates as it thinks, scans, and spots potential problems in real time.

📄 Get your report

You receive a clear, professional summary of safety issues found, with tips to fix them.

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Star Growth

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AI-Generated Review

What is cybersentry?

CyberSentry is a Python-based autonomous AI agent that runs ethical security audits on websites you own or have permission to test. Point it at a target URL via environment variables, fire up `python agent.py`, and it coordinates eight scanning tools—covering robots.txt, tech stack, headers, SSL, cookies, fuzzing, CORS, and Nmap ports—while reasoning in real-time to adapt its strategy. You get a professional Markdown report with severity-rated findings, CVSS scores, and fix recommendations, all powered by Llama 3.1 70B on NVIDIA NIM.

Why is it gaining traction?

It stands out by blending AI decision-making with traditional pentest tools in a ReAct loop, skipping the manual tool-juggling of scanners like Nuclei or OWASP ZAP. Developers dig the live terminal UI with xterm windows, hacker-style visuals, and bug-bounty-ready reports that save hours on write-ups. Early adopters like autonomous systems github projects appreciate how it mirrors ai powered autonomous robots in security contexts, with ethical guardrails baked in.

Who should use this?

Security engineers auditing their own web apps before production, bug bounty hunters with explicit target authorization, and cybersecurity students practicing on lab sites like DVWA. It's for pentest teams wanting AI to prioritize scans over running everything blindly, especially on Kali or WSL setups needing quick recon reports.

Verdict

Worth a spin for ethical, authorized testing if you have an NVIDIA NIM key—solid docs and real example findings make setup straightforward despite 33 stars and 0.7% credibility score signaling early maturity. Pair it with manual verification until v1.1 adds batch scanning; skip for production without more battle-testing.

(198 words)

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