Browser Fingerprinting Resources

The gold standard for anonymous browsing. Routes traffic through multiple nodes and standardizes browser fingerprints to make all users look alike.

Chromium-based browser with built-in ad blocking, fingerprint randomization, and IPFS support. Excellent balance of privacy and usability.

Open-source browser from Mozilla with strong privacy features. Enhanced Tracking Protection blocks fingerprinters and trackers.

Privacy-hardened fork of Firefox with aggressive default settings and all telemetry removed.

Firefox-based browser focused on privacy and customization, supports legacy Firefox extensions.

Powerful content blocker that blocks tracking scripts, ads, and fingerprinting attempts. Free and open-source.

Learns and automatically blocks trackers based on their behavior. Made by the Electronic Frontier Foundation.

Blocks JavaScript, Flash, and other potentially harmful content by default. Requires manual whitelisting of trusted sites.

Firefox extension specifically designed to prevent canvas fingerprinting by randomizing canvas data.

Isolate different browsing activities in separate containers to prevent cross-site tracking.

This groundbreaking paper first demonstrated that browser fingerprints are highly unique. Testing 286,777 browsers, Eckersley found that 83.6% had completely unique fingerprints. The study introduced the concept of entropy in fingerprinting and showed that even "common" browsers could be uniquely identified through the combination of multiple attributes. This research sparked widespread awareness of fingerprinting as a privacy threat.

Read Paper (PDF)

This influential paper introduced canvas fingerprinting, one of the most powerful fingerprinting techniques used today. The researchers demonstrated how seemingly identical browsers produce slightly different graphical outputs due to variations in graphics hardware, drivers, and operating systems. This technique is now widely deployed across the web and extremely difficult to defend against without breaking functionality.

Analyzing over 1 million fingerprints collected through the AmIUnique project, this research explored fingerprint diversity and evolution over time. The study found that 89% of fingerprints were unique, and even browsers with common configurations could be distinguished through their specific combination of attributes. Importantly, the research showed that fingerprints remain relatively stable over short periods, enabling persistent tracking.

Read Paper (PDF)

This research demonstrated that even when users switch browsers on the same device, they can still be tracked through operating system and hardware-level fingerprints. The paper introduced 16 new fingerprinting features including GPU characteristics, audio stack properties, and CPU-specific behaviors. Results showed 99.2% tracking accuracy across different browsers on the same machine.

This study showed that physical hardware characteristics, specifically clock skews, can be used for device identification. Even when all other fingerprinting techniques are blocked, the slight imperfections in hardware clocks create unique patterns. This demonstrates the deep challenge of preventing fingerprinting when it can exploit fundamental physics.

This comprehensive study evaluated the effectiveness of various anti-fingerprinting defenses across major browsers. The research found that while defenses like Tor Browser's uniformity approach work well, partial defenses in mainstream browsers often fail to prevent tracking. The paper provides important insights into what actually works for protecting privacy.

Recent research showing how even mouse movement patterns, click timing, and scrolling behavior can be used for behavioral fingerprinting. This extends fingerprinting beyond static browser properties into dynamic user behavior, making privacy protection even more challenging.

Comprehensive survey of fingerprinting techniques specific to mobile devices, including accelerometer patterns, touchscreen characteristics, and mobile network information. Mobile fingerprinting presents unique challenges due to the rich sensor data available on smartphones.

Mozilla publishes detailed documentation of their Enhanced Tracking Protection approach, including which fingerprinting techniques they block and their effectiveness metrics. Their policy balances privacy with web compatibility.

Read Policy

Brave takes a unique "randomization" approach rather than blocking fingerprinting APIs entirely. Their white paper explains how they inject randomness into canvas, WebGL, and audio fingerprints while maintaining website functionality.

Read Article

Apple has implemented various anti-fingerprinting measures in Safari/WebKit, particularly targeting canvas fingerprinting and font enumeration. Their approach prioritizes user privacy while maintaining a balance with developer needs.

Comprehensive introduction to browser fingerprinting from the Electronic Frontier Foundation.

Technical deep-dive into how Firefox implements fingerprinting protection.

Explanation of Brave's approach to randomizing fingerprints rather than blocking techniques.

Technical documentation for the Canvas API, commonly used in fingerprinting.

Comprehensive Firefox privacy configuration template with detailed comments explaining each setting.

Browser fingerprinting library for developers to understand and implement fingerprinting (responsibly).

Live operating system that routes all connections through Tor. Boot from USB for complete anonymity.

Operating system designed to run inside virtual machines with all network traffic forced through Tor.

Security-focused operating system that uses virtualization to create isolated compartments for different activities.

La référence pour la navigation anonyme. Achemine le trafic par plusieurs nœuds et standardise les empreintes de navigateur.

Navigateur basé sur Chromium avec blocage de publicités intégré et randomisation des empreintes.

Navigateur open-source avec protection améliorée contre le suivi et support d'extensions de confidentialité.