GlassBox: Browser privacy analyzer showing what websites can identify

What it does

GlassBox is a browser fingerprinting analyzer that runs entirely in the browser and shows users what data websites can collect about their device and setup. It probes hardware characteristics, IP address information, canvas rendering, audio fingerprints, browser version, session signals, and codec capabilities. The tool then calculates an "identifiability" score and shows how tracking scripts could link a user across browsers or sessions.

Who it is for

The primary audience is privacy-conscious internet users who want to understand their digital footprint and how easily websites could identify them. Secondary users may include security researchers, web developers building anti-fraud systems, and people testing VPN or privacy tools.

Pricing

The site does not show prices.

How it stands out

GlassBox emphasizes that all measurements run client-side only, meaning fingerprinting probes never leave the user's device. The tool is transparent about what data does exit the page: it uses three public IP-intelligence APIs and two STUN servers for geolocation, which users can disable. It includes a comparison feature where users can paste JSON reports from different browsers or sessions to see how a real tracker would link them across contexts. The interface shows granular control over what runs, with toggles for geolocation and login detection, and users can inspect the page source to verify claims about data handling.

What a founder should check

Someone building a competitor should verify how many users rely on existing commercial VPN services, browser privacy extensions, or privacy-focused browsers that already offer fingerprinting detection or mitigation—this affects addressable market size. Second, examine whether the core value proposition requires ongoing development to stay current with new browser technologies and fingerprinting techniques, since fingerprints change with every browser update. Third, research whether users who learn their fingerprint is unique or easy to track actually take subsequent action, or whether the tool becomes a one-time curiosity without retention.

Thinking of building something like this?

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