ThumbmarkJS
ThumbmarkJS is a fair, privacy-friendly fingerprinting library built by developers for developers. Offered under an MIT license, it can be installed via NPM or loaded from jsDelivr, and with just a few lines of JavaScript, importing the UMD bundle and calling tm.get(), it returns a consistent 32-character thumbmark fingerprint. For small projects requiring higher accuracy, a free API version is available, while the Pro version scales indefinitely and cost-efficiently for large-scale applications. Without complex setup or invasive tracking, ThumbmarkJS has been integrated into over 60,000 websites, handling more than 1 billion identifications and 200 thousand downloads per month. It is free, open source, and has been designed as an alternative to FingerprintJS. It generates distinct, persistent device fingerprints using web APIs like canvas, audio, fonts, WebGL, and more, enabling identification of browsers across sessions.
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SEON
SEON's mission is to create a world free from financial crime by stopping fraud earlier and quicker in the customer journey. With the trust of more than 5,000 companies, SEON has reviewed billions of transactions, preventing over €160 billion in fraudulent activities. Our rapid integration, and 30 days free trial, allow businesses to try SEON with low risk and high rewards. SEON provides a comprehensive end-to-end fraud prevention solution, including Anti-Money Laundering (AML). Our unique approach combines social signals with deep digital footprinting, leveraging fully-explainable machine learning to identify emerging fraud threats. As a recipient of numerous accolades, including Sifted's Rising 100, Deloitte's Technology Fast 50, Crunchbase's Emerging Unicorn, and G2's Fastest Growing Software in 2022, SEON has raised $94 million in Series B funding as of April 2022. Operating globally from Austin, London, Budapest, and Singapore, we are committed to making the world safer.
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IPQS Device Fingerprinting
Access over 25 data points for device fingerprinting details to analyze risk and device info. Device Fingerprinting by IPQS offers an unparalleled fraud detection solution capable of detecting even the most advanced fraudsters, bad actors, and cyber criminals. Scan over 300 data points (like operating system, screen resolution, fonts) to accurately identify fake devices, location spoofing, and high-risk behavior in a user's online fingerprint. Identify bots, automated behavior, device spoofing, & other high-confidence signals that the user is likely to engage in fraudulent behavior. Deploy JavaScript device fingerprinting for web devices or use our SDKs for mobile devices on iOS or Android. Robust risk scoring will accurately identify fake accounts, chargebacks, credential stuffing, bot behavior, and similar abuse. IPQS Device Fingerprinting can reveal advanced fraud techniques including the latest emulator software.
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SHIELD
Device-First Fraud Prevention with Real-Time Identification & Intelligence.
SHIELD's Device Intelligence persistently identifies devices, users, and accounts you can trust — and those you can't.
Don't let fraudsters fool you. Make precise decisions about device trustworthiness with the global standard for device identification — SHIELD Device ID.
Get the most comprehensive view of every user with real-time actionable device signals and continuous risk profiling. Eliminate risk blind spots, provide superior user experiences, and accelerate growth.
Instant insights. No additional codes needed. Gain intelligence without giving PII data. Self-configurable risk thresholds. We return all data, and more. Get the full picture with transparent intelligence. Stay ahead of new and emerging fraud attacks. Real-time attack pattern syncing worldwide.
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