IPQualityScore Device Fingerprinting is a device identification and fraud detection solution that tracks users across browsers and IP addresses. The solution analyzes over 300 data points including operating system, screen resolution, fonts, WebGL hash, canvas hash, CPU cores, memory, and graphics card information to generate unique device IDs. The product provides device fingerprinting capabilities for both web browsers and mobile applications. It detects fake accounts, bots, VPNs, proxies, Tor connections, emulators, and location spoofing attempts. The solution identifies device spoofing techniques including tools like Multi-Login, Linken Sphere, FraudFox, and AntiDetect. Device fingerprinting generates persistent device IDs that can track users even when they change browsers, IP addresses, or other identifiable settings. This enables detection of duplicate accounts and returning fraudsters. The solution provides fraud scores and risk analysis based on behavioral patterns and device characteristics. For web integration, a JavaScript tag can be placed on websites to collect device fingerprint data. Mobile applications can use dedicated SDKs for iOS and Android platforms. The solution returns over 25 data points in real-time through an API, allowing systems to implement custom business logic for fraud prevention actions such as flagging suspicious transactions, requiring additional verification, or blocking high-risk users. The platform includes GPS spoofing detection for mobile devices, bot detection capabilities, and analysis of user intent through behavioral patterns. It provides cross-device fingerprinting compatible with all web browsers and supports tracking variables to correlate device IDs with transaction IDs, user IDs, or campaign IDs.