Get an overall privacy score for your browser setup based on fingerprint uniqueness, leak tests, and security headers.
This tool runs a battery of privacy checks inside your browser and combines them into a single score. It probes how uniquely your browser can be fingerprinted, runs leak tests that look for ways your real identity can escape the browser, and evaluates security-header exposure. The checks run locally; nothing is uploaded. The thing people most often get wrong is reading the number as a verdict on their whole online privacy: it is a snapshot of one browser profile on one machine at one moment, and the fingerprint-uniqueness figure is an estimate, not a count of other people who match you.
The tool collects the signals a tracker would collect: user agent, screen and window metrics, timezone and language, installed font list, and the pixels your GPU renders for canvas and WebGL tests, which are hashed. Combining these produces a fingerprint hash, and the uniqueness figure estimates how much information that hash carries about your device. More distinct signals with more variation produce a higher estimated uniqueness.
Leak tests look for channels through which your real identity reaches the network without your configured protections, most notably WebRTC, where a peer-connection request to a STUN server can reveal your IP even when a VPN or proxy is active. The header component inspects the security headers a tested server returns. Each component is scored and combined into the overall number, with per-component breakdowns shown so you can see which area dragged the total down.
Yes. Cookie blocking stops state stored on the site, but the fingerprint is derived from what your browser renders and reports on every visit (canvas pixels, fonts, screen metrics, language), which survives cookie clearing and can be correlated across sites. A VPN changes the IP-leak result but does nothing to the fingerprint hash, which is why fingerprint-based tracking works in private mode on most browsers.
There is no standard fingerprint. Every testing service chooses a different set of signals, some including audio processing or battery status and some ignoring fonts or WebGL, and hashes them with different code, so each one produces a different fingerprint for the same browser. Compare the qualitative findings (which checks pass or fail) across services rather than the numeric scores.
The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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