What Fingerprint Measures
14 component families across navigator, screen, WebGL, canvas, audio, fonts, storage, permissions, privacy resistance, and JA4-style summaries.
Analyze browser, bot, headless, privacy-resistance, and JA4-style signals with public-safe redaction, real algorithms, trace-linked evidence, and integrations across Atlas, Monitor, Trace, BrowserOps, Sandbox, Evals, and MCP.
fingerprint.analysis.v3
14 component families across navigator, screen, WebGL, canvas, audio, fonts, storage, permissions, privacy resistance, and JA4-style summaries.
Collection starts from visible user action. Public output uses hashes, truncation, aggregate counts, and explicit degraded states.
Deterministic browser checks explain webdriver, automation globals, user-agent hints, plugin inconsistencies, and rendering anomalies.
Weighted exact and fuzzy comparison shows matching components, changed signals, likelihood scores, confidence, and caveats.
Vercel JA4 digest metadata is never public in raw form. JA4M client metadata is labeled research, not certainty.
OpenAPI, MCP tools, llms files, policy routes, and platphormctl examples expose public-safe fingerprint intelligence.
This workbench runs locally first. It generates deterministic hashes and confidence scores from real browser components, and it does not submit anything until you choose a redacted submission action.
Real-time analysis of your device signature
No browser signals collected yet
Use Inspect Browser to run a visible, local-only collection. The dashboard does not silently submit fingerprints.
Fingerprint explains exposed signals for debugging, education, security research, and platform trust work. It does not claim identity certainty, does not perform covert tracking, and keeps protected operations behind PLATPHORM_API_KEY.