🧬 Browser Fingerprint Test ☆

Overview

Browser Fingerprint Test shows the fingerprint your browser creates every time you visit a website: a canvas rendering hash, WebGL vendor and renderer strings, screen and viewport size, color depth, timezone, languages, platform, user agent, CPU cores, device memory, touch support and more. Combined, these signals can identify you across sites even without cookies, which is why privacy guides call them a fingerprint. The entire analysis runs locally in your browser. Nothing is uploaded. Use the report to see how identifiable you are and to reduce the signals you expose.

What makes a browser fingerprint

Every browser exposes dozens of small configuration details: canvas rendering differences, WebGL vendor and renderer strings, screen and viewport size, color depth, timezone, language list, platform, user agent, CPU core count, device memory and touch support. Individually none of them identify you; combined they form a pattern that is often stable across sessions and sites, even with cookies disabled and in private windows. That is why privacy tools treat fingerprinting as a tracking method that consent banners cannot fix.

Technical specifications

Property	Fingerprint test behavior
Signals tested	Canvas hash, WebGL strings, screen/viewport, color depth, timezone, languages, platform, UA, cores, memory, touch
Output	Grouped report of every signal with its raw value
Comparison	Re-run in another browser or profile to compare
Processing	100% client-side; nothing is uploaded
Stored by 0Appz	Nothing
Cost	Free, no account, no ads

Privacy: the test is the opposite of tracking

The analysis runs entirely in your browser and leaves no trace on a server. Use it as a diagnostic: run it before and after changing browser settings to see which signals actually changed.

Reducing your fingerprint

• Use a mainstream browser with default settings, rare configurations stand out more, not less.
• Prefer browsers with built-in fingerprint randomization for everyday browsing.
• Keep window size ordinary: unusual viewports are a strong signal.
• Limit extensions; each one can add detectable surface.
• Remember a VPN changes your IP but not your fingerprint.

Related: browse the privacy and security tools for IP, DNS and WebRTC leak tests.

What fingerprinting measures and how to reduce it

A fingerprint is a combination of small, stable details that together identify a browser more reliably than a cookie. Individually, none of them is unusual: screen resolution, time zone, language list, installed fonts, graphics driver, audio processing quirks and the exact behaviour of canvas rendering. Combined, they produce enough entropy that a large share of visitors have a unique combination, which is why the technique survives cookie clearing and private windows. The test reports which signals are exposed and how distinctive each one is, so you can see where the entropy comes from. Reducing a fingerprint is a trade-off rather than a switch. Blocking JavaScript removes most signals but breaks many sites. Randomising values, as privacy extensions do, helps against naive scripts but can itself become a detectable pattern if the randomness is unusual. The strongest practical approaches are browser isolation, where each site runs in a separate container with its own profile, and networks such as Tor Browser that make many users look identical, which is the opposite strategy: not uniqueness, but blending into a crowd. Ordinary users should prioritise the cheap wins: a mainstream browser with automatic updates, tracking protection enabled, few extensions, and awareness that logging into the same account across sites links activity regardless of fingerprinting. The test runs entirely in your browser and stores nothing.