PrivKitPrivKit

Fingerprint Lab

Collect and analyze your browser fingerprint. We measure Canvas, WebGL, Audio, Fonts, Screen, and Math signals, then hash them into a composite identifier. Submit to the server to see how unique you are.

What Is Browser Fingerprinting?

Browser fingerprinting is a tracking technique that collects dozens of signals from your browser - canvas rendering, WebGL capabilities, installed fonts, audio processing, screen resolution, and more - to create a unique identifier. Unlike cookies, fingerprints cannot be easily cleared because they are derived from your system configuration.

How Does This Test Work?

Our Fingerprint Lab collects signals entirely in your browser, hashes each one, and sends the combined fingerprint to our server to compare against previous observations. You receive a blending score that shows how common your fingerprint is, and per-signal frequency data so you can see exactly which signals make you stand out.

How to Reduce Your Fingerprint

  • Use Tor Browser, which standardises most fingerprint signals.
  • Enable anti-fingerprinting features in Firefox (privacy.resistFingerprinting).
  • Limit browser extensions - each one adds to your unique profile.
  • Disable WebGL and Canvas access when not needed.

Learn more: Privacy Browser Settings.

Related Tools & Guides

Frequently Asked Questions

Is browser fingerprinting legal?

In most jurisdictions, browser fingerprinting is legal but falls under privacy regulations like GDPR and ePrivacy. Websites should disclose fingerprinting in their privacy policy and, in some regions, require user consent.

Can a VPN prevent fingerprinting?

A VPN hides your IP address but does not change your browser fingerprint. Fingerprinting relies on browser-level signals (canvas, fonts, screen size) that a VPN cannot mask. You need browser-level protections alongside a VPN.

What is a good blending score?

A higher blending score means your fingerprint matches more other users, making you harder to track. Tor Browser typically achieves the highest blending scores because it standardises most signals across all users.