浏览器指纹
Technique that identifies and tracks users via combined device and browser characteristics.
Mozilla has shipped a new round of fingerprinting protections in Firefox that reduce extractable distinguishing details, making more users look alike to tracking scripts and blunting cross-site identification. The work builds on Mozilla's large-scale measurement research on browser and device fingerprinting, accepted at CCS 2026, with findings and code shared openly.
Mozilla, with the University of Toronto and UC San Diego, ran a large-scale browser fingerprinting study across nearly 25 million Firefox release users to quantify real-world identifiability and isolate which characteristics make users unique. The findings directly shaped the fingerprinting protections shipped in Firefox 143, and the team released the paper, full appendix data, privacy-preserving aggregate datasets, analysis code, and an interactive self-test tool.