List of the Top 3 Device Fingerprinting Apps for iPad in 2025

ThumbmarkJS is a library designed for developers that prioritizes user privacy and equitable fingerprinting. Available under the MIT license, it can be effortlessly accessed through NPM or jsDelivr, allowing you to import the UMD bundle and use tm.get() to generate a dependable 32-character thumbmark fingerprint with minimal JavaScript code. For those working on smaller projects that require greater accuracy, a free API version is offered, while the Pro version provides scalable and cost-effective options for larger applications. The installation is straightforward, lacking any invasive tracking methods, and ThumbmarkJS has gained traction, being utilized by over 60,000 websites and achieving more than 1 billion identifications, alongside approximately 200,000 downloads each month. As a free and open-source alternative to FingerprintJS, it effectively generates unique and persistent device fingerprints through the utilization of web APIs such as canvas, audio, and fonts, allowing for the identification of browsers across various sessions. This capability positions it as an essential asset for developers aiming for an uncomplicated yet effective approach to browser identification, all while maintaining a strong commitment to user privacy and security. Additionally, its growing community and resource availability further enhance its appeal to developers looking to implement robust tracking solutions.

FOCAL by Mozn offers a range of innovative products that leverage advanced AI and machine learning technologies to tackle the challenges of anti-money laundering (AML) compliance and fraud prevention in emerging markets. The FOCAL Anti-Fraud suite includes a variety of tools designed to combat the increasing complexity and frequency of fraud in these regions. With this comprehensive AML compliance software, financial institutions have the capability to effectively screen their customers, monitor transactions in real time, and evaluate potential risks with greater accuracy and efficiency. This holistic approach not only enhances compliance efforts but also strengthens the overall security framework of financial operations.

Location Behavioral Biometrics leverages the unique location-centric actions of users to create a flexible location fingerprint that is difficult for fraudsters to imitate. This cutting-edge method is an invaluable asset for financial institutions and retailers, significantly reducing risks linked to new account fraud and account takeovers. By combining network signals with on-device sensor data, our sophisticated location technology formulates distinct behavioral patterns that support precise user identification and authentication. Importantly, our solution operates without the need for any personally identifiable information (PII) and functions unobtrusively in the background, providing a secure and seamless user experience. Additionally, it allows for the global validation of addresses using real-time location data and effectively identifies location spoofing techniques often used in identity theft and account takeover attacks. It further detects anomalies to avert fraudulent actions like unauthorized account registrations, logins, and transactions, thereby disrupting organized fraud schemes. Moreover, by equipping your identity verification processes with instant access to location information, our system bolsters overall security and trust. This innovative approach not only enhances security measures but also fosters a safer environment for online transactions.