The Browser Fingerprint Audit skill provides automated auditing of browser configurations using the liarjs CLI to detect discrepancies between client-side JavaScript APIs and network-level signals. It evaluates over 40 consistency checks across Canvas, WebGL, WebGL2, WebGPU, audio subsystems, WebRTC, and over 200 system fonts, cross-referencing them against TLS, HTTP, and ASN edge telemetry. Scoring instances on a 0-100 trust scale, it is essential for QA engineers and developers evaluating headless automation profiles, detecting fingerprint spoofing artifacts, and validating stealth configurations in Puppeteer or Playwright without touching user credentials or persistent browser profiles.
主要功能
01Evaluates 40+ hardware and JS probes across Canvas, WebGL, WebGPU, audio, fonts, and WebRTC
02Generates a 0-100 coherence score classifying sessions as Trustworthy, Suspicious, or Likely Spoofed
03Connects to existing CDP (Chrome DevTools Protocol) instances or automatically launches isolated throwaway profiles
04Supports fully offline scanning for testing JavaScript layer consistency without outbound network calls
05Cross-checks browser-reported environments against edge TLS, HTTP version, and ASN network views
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使用场景
01Auditing Playwright or Puppeteer stealth configurations to identify anti-bot detection leaks
02Benchmarking browser profile spoofing tools against real-world edge TLS and fingerprint probes
03Running automated CI/CD checks to prevent fingerprint regressions in custom scraping browsers