Aggregated device ID, browser fingerprint, and behavioral biometric telemetry are collected during user interactions with digital channels, such as web or mobile applications. This data includes unique device characteristics (e.g., hardware configuration, operating system, installed fonts, screen resolution), browser attributes (e.g., user agent, plugins, timezone), and behavioral patterns (e.g., typing rhythm, mouse movements, touch gestures). By analyzing these attributes, organizations can accurately identify and link accounts or sessions that may appear unrelated but are actually associated with the same device, browser, or user. This capability is essential for detecting automated activity, preventing account takeover, and uncovering fraudulent schemes where individuals attempt to mask their identity or control multiple accounts. Device and browser fingerprint data is a key component in advanced fraud detection and AML/CFT monitoring systems.
Main/
Device & Browser Fingerprint Data
[]
Code
DS0050
[]
Name
Device & Browser Fingerprint Data
[]
Version
1.0
[]
Category
OSINT & Communication Data
[]
Created
2025-05-14
[]
Modified
2025-05-29
Related Techniques
Captures technical evidence—like device IDs, browser signatures, and behavioural biometrics—linking multiple seemingly unrelated customer accounts to the same automated controller or software, revealing scripted activity behind high-frequency layering schemes.
Typing cadence, facial recognition, and mouse-movement signatures persist across accounts. When identical behavioural hashes appear under different names, analysts gain hard evidence of one person running multiple aliases.