Device Fingerprinting
Identifying a device based on unique hardware and software attributes.
Understanding Device Fingerprinting
Device fingerprinting collects various attributes from a device, including:
Hardware Information – CPU type, GPU model, screen resolution, battery level.
Software & OS Details – Operating system, browser version, installed plugins.
Network Identifiers – IP address, MAC address, Wi-Fi SSID, proxy usage.
Behavioral Characteristics – Typing speed, mouse movement patterns, browsing behavior.
Key Features of Device Fingerprinting
Persistent Tracking Method – Unlike cookies, device fingerprints cannot be easily deleted or reset.
Widely Used in Fraud Prevention – Helps identify account takeover attempts, botnets, and suspicious logins.
Can Work in Stealth Mode – Fingerprinting can be done passively, without user consent or awareness.
Common Applications of Device Fingerprinting
Cybersecurity & Fraud Prevention
Detects credential stuffing, account sharing, and multi-account fraud.
Identifies suspicious login attempts based on device attributes.
Digital Advertising & User Analytics
Tracks users across websites for behavioral profiling and personalized advertising.
Authentication & Access Control
Used in multi-factor authentication (MFA) to confirm device legitimacy.