GlassBox launches browser fingerprint bench

GlassBox makes an invisible tracking problem tangible, but its headline identifiability score is best treated as an educational estimate—not proof of real-world uniqueness.

• –Combines weak signals into a practical picture of how trackers and anti-fraud systems link browsers
• –Highlights high-entropy surfaces including canvas, GPU, audio, installed fonts, voices, and browser API support
• –Its static, dependency-free, MIT-licensed design makes the tool easy to audit, fork, and self-host
• –The local-first model protects against the scanner becoming another source of telemetry, though IP intelligence still calls public APIs
• –Community testing exposed limitations around anti-fingerprinting, browser farbling, and imperfect hardware/network readings