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WebGL Device Fingerprinting Report

WebGL Device Fingerprinting algorithm implementation in JavaScript. For usage just open index.html or start a web-server in the project directory.

Project Structure

  • index.html: Main application entry point.
  • js/Fingerprint.js: Modern OOP implementation of the WebGL fingerprinting logic.
  • js/webgl.js: Script to interact with the DOM and use Fingerprint class.
  • js/md5.js: MD5 hashing library.
  • js/plugins.js: Additional browser capability checks and utility functions.
  • css/style.css: Project styling.
  • img/logo.png: Project logo.
  • tests/index.html: Unit tests using QUnit.
  • docs/fingerprinting.md: Documentation of the fingerprinting algorithm.

Setup and Usage

  1. Clone or download the repository.
  2. Open index.html in a modern web browser to view the WebGL report and fingerprint.
  3. To run tests, open tests/index.html in your browser.

Features

  • Detection: Automatically detects all supported WebGL versions (1.0 and 2.0).
  • Parameters: Gathers over 50 different WebGL context parameters.
  • Image Hashing: Generates a unique image-based fingerprint through GPU rendering.
  • Modern JS: Rewritten using modern JavaScript (ES6+) and OOP principles.
  • Documentation: Comprehensive documentation of the algorithm and code.