Topics / #fingerprinting

Fingerprinting projects on GitHub

Browser and device fingerprinting for identification.

As of , the most-starred Fingerprinting projects on GitHub are fingerprintjs (28.6K stars), xray (11.8K stars) and anti-mage (2.1K stars). GitHub.Locker tracks 8 Fingerprinting repositories with 48.3K stars combined. The fastest-growing on October 16 was vm2api, with +36 stars in a day.

8Projects
48.3KStars in total
+103Stars in a day
Browse in the catalog →github.com/topics/fingerprinting ↗

Hot right now

Most stars gained in a day · Oct 16

+36

vm2api

dofastted/vm2api · ★ 1.2K

vm2api is a self-hosted proxy that runs your Claude/Anthropic (or OpenAI-compatible) API traffic through a real-looking virtual machine or Docker 'slot' so the account looks like a genuine Claude Console client instead of relying on system-prompt tricks or persona injection.

+26

ModelTrace

xqy2006/ModelTrace · ★ 1.7K

ModelTrace is a locally-run active model attribution tool: it sends three fixed challenge prompts to a target model, extracts an output fingerprint, and matches it against a known-model library to guess the model family and specific version.

+26

lm-detector

Ikaleio/lm-detector · ★ 389

LM Fingerpoint Detector figures out which large language model is really answering behind an API by asking it to write about 300 random integers between 1 and 355, then comparing the statistical pattern of those numbers against a reference bank of known models (GPT, Claude, Gemini, Grok, Qwen, DeepSeek, etc.) to find the closest match.

+12

fingerprintjs

fingerprintjs/fingerprintjs · ★ 28.6K

FingerprintJS is an open-source, client-side browser fingerprinting library: it queries browser attributes and computes a hashed visitor identifier from them.

The all-time top

8 projects · by stars

  1. #1 · fingerprintjs/fingerprintjs

    fingerprintjs

    FingerprintJS is an open-source, client-side browser fingerprinting library: it queries browser attributes and computes a hashed visitor identifier from them.

    28.6K
  2. #2 · chaitin/xray

    xray

    xray is a security assessment tool built by Chaitin for scanning common web vulnerabilities and running custom PoCs against targets.

    11.8K
  3. #3 · N4darae/anti-mage

    anti-mage

    Anti-Mage is a free, open-source Go project that detects anti-detect browsers and spoofed browser profiles by checking whether a browser's own reported surfaces (fonts, timezone, WebGL, screen geometry, audio, etc.) are internally consistent, instead of matching known-tool signatures.

    2.1K
  1. 4

    untidetect-tools

    2KTheGP/untidetect-tools

    A curated markdown list maintained by the author of their own anti-detect project, tracking anti-detect/humanizing browsers, browser-automation and fingerprint-spoofing libraries, captcha solvers, SMS-activation services, and proxy providers used to avoid bot and fingerprint detection.

  2. 5

    ModelTrace

    1.7Kxqy2006/ModelTrace · JavaScript

    ModelTrace is a locally-run active model attribution tool: it sends three fixed challenge prompts to a target model, extracts an output fingerprint, and matches it against a known-model library to guess the model family and specific version.

  3. 6

    vm2api

    1.2Kdofastted/vm2api · JavaScript

    vm2api is a self-hosted proxy that runs your Claude/Anthropic (or OpenAI-compatible) API traffic through a real-looking virtual machine or Docker 'slot' so the account looks like a genuine Claude Console client instead of relying on system-prompt tricks or persona injection.

  4. 7

    patchright-enhanced

    498whaleyxbt/patchright-enhanced · TypeScript

    It's a stealth browser automation toolkit built on top of Patchright (a patched Playwright) aimed at QA testing, monitoring, scraping, and penetration testing. It focuses on producing clean Chrome sessions that get past WAFs like Cloudflare, Kasada, and DataDome out of the box.

  5. 8

    lm-detector

    389Ikaleio/lm-detector · TypeScript

    LM Fingerpoint Detector figures out which large language model is really answering behind an API by asking it to write about 300 random integers between 1 and 355, then comparing the statistical pattern of those numbers against a reference bank of known models (GPT, Claude, Gemini, Grok, Qwen, DeepSeek, etc.) to find the closest match.

Often tagged together