FingerprintJS

FingerprintJS collects over 100 identification signals from browsers and mobile applications, combining them with TLS identifiers, cookies, visit history, and geolocation details to generate highly accurate device identifiers. It assigns every visitor with a permanent ID that remains consistent even when users attempt to conceal their identity through proxies, incognito mode, or browser upgrades.

The software delivers real-time, actionable device intelligence insights through a comprehensive collection of enhanced signals that provide specific information about anonymous visitors on websites and mobile applications. It detects suspicious browser configurations, user behaviors, network anomalies, and device characteristics, including incognito mode detection, browser tampering, IP blocklists, VPN usage, proxy servers, and Tor browsers.

The platform software provides specialized intelligence for mobile environments by detecting rooted Android devices, jailbroken iPhones, cloned applications, factory resets, and location spoofing. It identifies man-in-the-middle attacks where requests to servers are intercepted or altered and detects when critical device properties have been changed or faked.

The software employs advanced real-time algorithms to identify automated tools, friendly search bots, and sophisticated threats that attempt to mimic human behavior across web and mobile platforms. It detects Android emulator farms used for spam and fraud by ensuring requests originate from physical devices rather than virtual environments.

This feature provides an additional layer of raw device attributes that reveal detailed technical specifications about visitor environments and configurations. It calculates a weighted suspect score by aggregating all available smart signals to identify suspicious activity patterns and potential fraud indicators.