LoseNine

Firefox-FingerPrint-Analyzer是一款用于分析网站API 调用的日志工具,会记录所有的浏览器操作。它可以帮助安全研究人员和开发者追踪网页的 JavaScript 行为,检测浏览器指纹采集、网络请求和 Cookie 操作等敏感行为。

38
12
69% credibility
Found Feb 24, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A Windows desktop app that visualizes logs from a customized Firefox browser to reveal website behaviors like browser fingerprinting, network requests, and console activity.

How It Works

1
🕵️ Find the browser checker

You hear about a handy tool that helps spot how websites secretly track your browser habits.

2
🚀 Launch the app

Double-click the simple program to open a friendly window ready for your settings.

3
📝 Choose website and save spot

Type in a website address, pick where to save notes, and point to your special browser.

4
🌐 Start exploring safely

Hit go to open the browser, visit the site, and let it quietly record everything happening behind the scenes.

5
⏹️ Wrap up and crunch numbers

Close the browser when done, and watch it automatically sort through the notes.

6
📊 View colorful insights

Flip through tabs showing counts of actions, sneaky network pings, console chats, and drawing tricks.

Master website tracking

Now you clearly see all the ways the site tries to fingerprint and follow you, feeling empowered and informed.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 20 to 38 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Firefox-FingerPrint-Analyzer?

This Python-based analyzer launches a custom Firefox browser to capture detailed JSON logs of DOM and BOM API calls during web sessions. It visualizes JavaScript behaviors like fingerprint collection, network requests via fetch or XMLHttpRequest, and cookie operations, solving the pain of manually sifting through browser traces for sensitive tracking. Developers get tabs for API stats, network/cookie monitoring, console logs, and canvas fingerprint detection right after stopping the session.

Why is it gaining traction?

Its polished PyQt GUI makes Firefox DOM tracing dead simple: set a URL, pick the log path and custom Firefox exe, hit start, browse, stop, and view interactive tables and trees—no scripting needed. Standout hooks include one-click canvas fingerprint spotting and customizable themes/fonts, beating raw log grep or generic JS debuggers for targeted privacy audits. Low barrier for quick site teardowns without devtools overload.

Who should use this?

Security researchers auditing anti-fraud sites for fingerprint evasion tactics. Frontend devs reverse-engineering tracking scripts on e-commerce or ad-heavy pages. Privacy engineers testing if their anti-fingerprint extensions hold up against real-world JavaScript probes.

Verdict

Worth a spin for niche Firefox tracing if you have the custom DOM Trace build—delivers solid visualizations fast—but with just 14 stars and a 0.7% credibility score, it's early-stage; expect rough edges like Windows-only support and no tests. Fork and harden it for production use.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.