Compare ThumbmarkJS vs. Verisoul Device Fingerprinting

ThumbmarkJS is a privacy-conscious and equitable fingerprinting library crafted specifically with developers in mind. Licensed under MIT, it is easily accessible through NPM or via jsDelivr, and with just a few lines of JavaScript, you can import the UMD bundle and utilize tm.get() to obtain a reliable 32-character thumbmark fingerprint. For smaller applications that demand enhanced accuracy, there is a complimentary API version available, while the Pro version offers scalable and economical solutions for extensive applications. With no complicated installation processes or intrusive tracking methods, ThumbmarkJS has successfully been adopted by over 60,000 websites, facilitating more than 1 billion identifications and enjoying around 200,000 downloads each month. The library is not only free and open source but also serves as a viable alternative to FingerprintJS. It effectively creates unique, enduring device fingerprints by leveraging web APIs like canvas, audio, and fonts, enabling the recognition of browsers across different sessions. This functionality makes it a powerful tool for developers seeking a straightforward and effective way to implement browser identification without sacrificing user privacy.

Verisoul employs a sophisticated system that utilizes various fingerprints to seamlessly match user accounts. Instead of relying on device IDs, we focus on providing match probabilities, which significantly minimizes false positives and lessens the engineering efforts required. Our innovative approach effectively combats multi-accounting and fraud through advanced device fingerprinting techniques. This allows us to prevent individual users from establishing multiple accounts while also enabling the identification of instances where the same account is accessed via different devices. Moreover, we are equipped to detect anomalies or spoofed fingerprints, ensuring the integrity of user data. Our method incorporates multiple layers of device, browsing, and TCP attributes, enabling us to match users across different browsers—a capability that sets us apart from the competition. By generating numerous fingerprints and utilizing probabilistic matching rather than relying on a singular binary device ID, we achieve highly accurate connections and drastically reduce the likelihood of false positives. Our state-of-the-art spoof- and lie-detection technology ensures that the information received from devices reflects true conditions, allowing us to identify anti-detect browsers that may deceive other providers. Additionally, our system collects device, browser, and network data without introducing any noticeable latency, enhancing the overall user experience and operational efficiency. This comprehensive approach ensures that we remain ahead in the fight against fraudulent activities.