● Covered by 1 source · 1 reportLow impact1 neutral
GlassBox Tool Reveals Browser Fingerprinting Data to Users
Key points
- GlassBox displays browser fingerprinting data in real-time.
- It uses the same signals as tracking and anti-fraud scripts.
- The tool identifies links across browsers, engine families, and machines.
- Most data processing is local, except for IP geolocation lookups.
Browser Fingerprinting Explained
GlassBox is a new tool designed to make browser fingerprinting visible to the end-user. It runs live in the browser, collecting and displaying the same types of measurements that tracking and anti-fraud scripts gather. This includes data related to hardware, environment, browser engine, and specific browser build information.
How Identification Works
The tool demonstrates how various signals, such as audio-fp probes, canvas, audio, math, and codec information, can link users across different browsers or within the same engine family. GlassBox scores each tier of information to indicate whether a session is from the same machine, engine family, or browser, mimicking how cross-browser trackers operate.
Data Privacy and Local Processing
GlassBox primarily processes data locally within the user's browser, with no analytics or beacons sent externally. The only exception is IP intelligence, which queries public geolocation APIs (ipwho.is, ipapi.is) to determine address, network, and VPN status. Users can disable geolocation in the toolbar for full local operation.
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Primary sources
GitHub HotStartLabs/glassboxReporting from
GlassBox is a new tool that shows users the data websites can collect from their browsers for tracking and anti-fraud purposes. It demonstrates how various browser and hardware signals can be used to identify users across different browsing sessions and engines.