liarjs.dev

A look at liarjs.dev

liarjs.dev is a browser detection diagnostic that asks whether your browser is genuine and whether a person is actually driving it. It reads your browser's JavaScript properties—canvas, WebGL, WebGPU, audio, fonts, timezone and network data—then cross-checks these against what the network layer actually observed through Cloudflare. Every disagreement between what the browser claims and what the network saw is flagged as a finding.

The tool works on three independent detection axes: Fingerprint checks whether the browser looks like a real device by examining canvas, WebGL, WebGPU, audio, fonts, navigator properties, screen geometry and WebRTC. Network checks whether Cloudflare's observations (TLS version, HTTP protocol, ASN, header shape, IP geography) match the JavaScript story. Automation checks whether a program is driving the browser, first through passive signals like navigator.webdriver and framework residue, then through an active behavioral challenge that measures pointer movement, path curvature and event timing.

The project is both educational and defensive. It helps people understand what modern detectors can observe and lets anti-detect browser developers test their own footprint. A coherent browser story does not prove a human is present, so the tool separates the fingerprint and network scores from the behavioral verification—a score stays provisional until the challenge is completed.