fingerprinter-js

Just shipped v2.0 of my browser fingerprinting lib. The big change: I split collectors into "stable" (14) and "unstable" (5). Stable ones like canvas, webgl, fonts go into the hash. Unstable ones like battery level, network speed, local IPs are still collected but don't affect the fingerprint. You get consistent hashes across reloads while still having access to all the data. Also added bot detection - catches Puppeteer, Playwright, Selenium, headless browsers, CDP artifacts, canvas noise injection. 19 collectors total, ~15KB, zero deps, TypeScript. Thinking about building a SaaS layer on top with server-side analysis and ML risk scoring. The lib stays MIT. Not sure if there's room next to Fingerprint Pro or if they've got it locked down - would be curious to hear thoughts on that. Feedback on the stable/unstable approach welcome.

Yeah, some parts of the code that obviously don't make any sense: https://github.com/Lorenzo-Coslado/fingerprinter-js/blob/f34... Why would the user agent of a javascript execution environment ever be curl? https://github.com/Lorenzo-Coslado/fingerprinter-js/blob/f34... self explanatory https://github.com/Lorenzo-Coslado/fingerprinter-js/blob/f34... variable declared but not used anywhere.

I made FingerprinterJS, a small library with no dependencies that creates browser fingerprints from signals like canvas, WebGL, audio, fonts, userAgent, and screen info. It’s written in TypeScript, lets you enable/disable collectors, add custom data, and includes a simple suspicious-activity score. Would love feedback.