This is the companion site to a study Mozilla ran on browser fingerprinting. With the help of almost 25 million Firefox release users, we measured how identifiable browsers really are, found which characteristics make them unique, and used that to design the fingerprinting protections that shipped in Firefox 143. Here you can read the paper and its key findings, browse the full appendix data the PDF had no room for, download the privacy-preserving aggregate data and analysis code, learn how the data was collected, and run an interactive test that compares your own browser against the measured population. If you have a question the data could answer, there is also a discussion board for proposing follow-up research.
A comprehensive study of how fingerprintable users are
A large-scale study of browser fingerprinting based on telemetry from almost 25 million Firefox release users, and the mitigations it produced.
Key takeaways
Mozilla studied browser fingerprinting with 25 million Firefox users, finding that 75% were uniquely identifiable before protections reduced this to 46%.
- Mozilla's study used 25 million Firefox users to measure browser fingerprinting.
- Fingerprintability is driven by a small set of characteristics, not many small ones.
- Firefox 143 includes protections that reduced uniquely identifiable users from 75% to 46%.
Summarised automatically by AI from the original article by Hacker News. AI can make mistakes, so check the original for details.
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