momika233

momika233 / Burp_Suite-Antigravity_AI-Bug_Bounty_Hunter

Public
x.commomika233status2014354189082898652
61
10
69% credibility
Found Feb 06, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This is a Burp Suite extension that passively and actively scans HTTP traffic to detect common web vulnerabilities like error leaks, sensitive data exposure, and IDOR issues using pattern matching and AI analysis.

How It Works

1
🔍 Discover the Bug Hunter Tool

You stumble upon this handy helper on GitHub that makes finding web security weak spots easier while using your web testing app.

2
📥 Download the Simple File

Grab the single ready-to-use file from the page and save it to your computer.

3
🛠️ Load It into Your Testing App

Open your Burp Suite app, go to the extensions area, and add this file so it becomes part of your toolkit.

4
🚀 Start Testing Websites

As you browse or scan websites, the tool quietly watches the web traffic and starts spotting potential problems automatically.

5
👀 Watch It Analyze Responses

It checks website replies for clues like error messages, leaked secrets, or risky paths, even pulling out links from script files to test further.

6
⚠️ See Flagged Issues Appear

New alerts pop up in your app's issue list, each with details on what might be wrong and why it matters.

✅ Hunt Bounties with Confidence

Review the list of discovered weak spots, verify them manually, and submit for rewards feeling like a pro detective.

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Star Growth

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AI-Generated Review

What is Burp_Suite-Antigravity_AI-Bug_Bounty_Hunter?

This Python extension for Burp Suite automates bug hunting by analyzing HTTP responses in real-time, flagging issues like SQL errors, stack traces, credential leaks, and debug exposures using regex patterns and AI-powered LLM scans. It samples response bodies and headers intelligently to spot subtle flaws such as soft failures in 200 OKs or unauthorized data dumps, then adds them directly to Burp's issue list with deduplication to cut noise. Bug bounty hunters get passive scanning that catches high-confidence vulns without manual sifting.

Why is it gaining traction?

It stands out by blending fast regex checks with Claude AI for deeper analysis, plus automatic JS endpoint extraction to test for IDORs by swapping test IDs like "1" or "admin." Unlike basic Burp scanners, it handles response sampling to stay under LLM token limits while prioritizing juicy bits like error contexts or sensitive fields. Developers notice fewer false positives and actionable alerts on bounty-worthy bugs like admin path bypasses or key leaks.

Who should use this?

Bug bounty hunters and pentesters running Burp Suite on web apps with heavy JS frontends. Security researchers auditing APIs for IDORs or leaks during recon phases. Teams chasing high-reward issues like unauth admin access without building custom scripts.

Verdict

Grab it if you're deep in Burp Suite workflows—56 stars show early promise, but the 0.699999988079071% credibility score flags it as experimental with thin docs and no tests. Solid for prototyping AI-assisted hunting, but verify findings manually until it matures.

(198 words)

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