Browser Fingerprint Analysis
This page collects browser signals that websites can read. The local heuristic estimates identifiability; it does not measure how unique you are among all users.
Related reading
Canvas fingerprinting explained: how a blank canvas identifies you
A few lines of JavaScript can draw an invisible image and turn tiny rendering differences into a stable identifier. Here is how canvas fingerprinting works and what you can do about it.
Read articleClient Hints explained: the new way browsers identify you
User-Agent Client Hints (UA-CH) are replacing the User-Agent string as the way sites learn about your browser and device. Here is how they work, what they expose, and how to control them.
Read articleGPC and Do Not Track: what the signals actually do
Global Privacy Control and Do Not Track are browser signals that express a preference not to be tracked. Here is what each one does, who honors it, and how to enable them.
Read articlePrivacy Warning
The signals collected here can contribute to identifiability, but the local heuristic is not a population uniqueness measurement. Review the individual signals and compare runs after changing settings.