Open Source TypeScript Browser Fingerprinting Software

FingerprintJS is a source-available, client-side, browser fingerprinting library that queries browser attributes and computes a hashed visitor identifier from them. Unlike cookies and local storage, a fingerprint stays the same in incognito/private mode and even when browser data is purged. Since FingerprintJS processes and generates the fingerprints from within the browser itself, the accuracy is limited (40% - 60%). For example, when 2 different users send requests using identical (i.e. same version, same vendor, same platform), browsers, FingerprintJS will not be able to tell these two browsers apart, primarily because the attribitutes from these browsers will be identical. Fingerprint Identification is a closed-source, commercial device identification product designed for fraud detection, device identification, marketing attribution, and analytics.

Fingerprint Pro Azure Integration is responsible for proxying download requests of the latest Fingerprint Pro JS Agent between your site and Fingerprint CDN. Proxying identification requests and responses between your site and Fingerprint Pro API. This improves both accurancy and reliability of visitor identification and bot detection on your site.

Node.js wrapper for FingerprintJS Server API. This SDK might be also compatible, however not actively tested, with JavaScript "edge" runtimes that do not support all Node APIs, for example, Vercel Edge Runtime, or Cloudflare Workers. To make it work, replace the SDK's built-in fetch function (which relies on Node APIs) with the runtime's native fetch function.

OPFS is a browser fingerprinting library for creating persistent, unique and long-lasting digital fingerprints without depending on ever-changing variables such as the user agent string commonly used in other browser fingerprinting libraries. As such, the fingerprint does not change most of the time when a user upgrades their browser to the current version. OPFS uses some novel methods not well known before the publishing of this repo that allow the creation of a likely completely unique device fingerprint in Google Chrome, Microsoft Edge and other Chromium-based browsers. This also applies to Firefox as long as it is not resisting fingerprinting. The library is able to detect and mitigate the effects of browser-based anti-fingerprinting technologies introduced to certain browsers in the past few years with the release of Brave Browser and Safari 13.

Supercookie uses favicons to assign a unique identifier to website visitors. Unlike traditional tracking methods, this ID can be stored almost persistently and cannot be easily cleared by the user. The tracking method works even in the browser's incognito mode and is not cleared by flushing the cache, closing the browser or restarting the operating system, using a VPN or installing AdBlockers. The demo of "supercookie", as well as the publication of the source code of this repository, is intended to draw attention to the problem of tracking possibilities using favicons. Modern browsers offer a wide range of features to improve and simplify the user experience. One of these features are the so-called favicons: A favicon is a small (usually 16×16 or 32×32 pixels) logo used by web browsers to brand a website in a recognizable way. Favicons are usually shown by most browsers in the address bar and next to the page's name in a list of bookmarks.

ThumbmarkJS is an MIT-licensed browser fingerprinting library that produces stable fingerprints with 90% uniqueness. It works with normal and private browsing. ThumbmarkJS is a free, open‑source browser fingerprinting JavaScript library, designed as an alternative to FingerprintJS. It generates distinct, persistent device fingerprints using web APIs like canvas, audio, fonts, WebGL, and more, enabling identification of browsers across sessions, even in incognito or cleared-cache scenarios. It supports both client-side-only installs via CDN and npm, with optional API integration for improved uniqueness.