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.