Device Fingerprinting
A technique that identifies a specific device by collecting a unique combination of browser, hardware, and network attributes, used in both fraud detection and privacy-invasive tracking.
Also known as: browser fingerprinting, canvas fingerprinting, device ID
Last reviewed: 10 June 2026
Device fingerprinting collects dozens of attributes that a browser or app exposes: screen resolution, installed fonts, browser version, time zone, graphics card capabilities, audio processing characteristics, and many more. Combined, these attributes form a fingerprint that is statistically unique to a device even without cookies or a login, and is harder to clear than browser cookies.
In fraud prevention, device fingerprinting is used by banks and e-commerce sites to detect when a known device behaves abnormally (a new account logging in from a recognised device triggers lower friction) or when many fraudulent accounts originate from the same device despite different credentials. Device fingerprints are a key signal in detecting account-farm operations and synthetic identity fraud.
For consumers, device fingerprinting is a double-edged tool. The same technology that helps a bank notice your account being accessed from an unfamiliar device also enables advertising networks and data brokers to track you across sites without consent. Privacy-focused browsers and extensions exist to reduce fingerprinting surface, but complete prevention remains technically challenging.