
FingerprintJS
99.5% accurate visitor identification API for anti-fraud
FingerprintJS launched on June 3, 2021 with 5 votes, #1,729 of 3,692 launches that month.
What it does
FingerprintJS Pro combines browser fingerprinting, IP analysis, cookies and server-side techniques to generate a 99.5% accurate visitorID that can be used to flag fraudulent traffic. Designed for developers to build anti-fraud workflows into their websites.
Does a similar job
all alternatives →- FAFingerprinterJS – A tiny JavaScript library for browser fingerprintsSep 2025 · github.com · ▲24
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.

Stytch Fraud & Risk Prevention2024 · stytch.com · ▲273Stop bots, fraud, and abuse with industry-leading accuracy
DigitalFingerprintJul 2026 · digitalfingerprintjs.com · ▲7Persistent visitor identity-fraud prevention & intelligence

- CBCreepJS Browser FingerprintingApr 2026 · abrahamjuliot.github.io · ▲5
Not new but quite cool. Note: https://creepjs.org/ is NOT official the repo is https://github.com/abrahamjuliot/creepjs Anyone knows how fingerprinting works mathematically? what do they use? when the signals may vary even slightly, your final hash should be sufficiently accurate and stable. A simple hash won't do it. Changing IP, missing cookies/session, resizing window, TLS/SSL browser handshake, screen depth, font rendering, MTR, network latency if you want to measure, etc... any signal alone means little but as a whole mathematically what is…
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