When you visit a website, your detect browser spoofing with device fingerprinting shares more information about the device and software you are using than you might realize. This data is used to create a digital fingerprint, which is then used to track your behavior across websites and devices. Fraudsters use this to commit credit card fraud & chargebacks, account takeover attacks and more.

Detecting browser spoofing with device fingerprinting is a critical part of any fraud detection strategy. Device fingerprinting techniques include the analysis of user agent, screen resolution, timezone, plugins, fonts installed, and more. By analyzing these attributes, fraudsters are able to identify and exploit the unique fingerprint of a user’s device. The goal of spoofing is to reduce the uniqueness of the device fingerprint so that it becomes more difficult for fraudsters to target your accounts or transactions.

How to Defend Yourself Against Browser Fingerprinting

There are several methods for defending against fingerprinting, including the use of VPNs and proxies to mask your real IP address. Browser extensions that limit the amount of data shared can help protect against fingerprinting as well. Some browsers also include built-in protections against fingerprinting, such as privacy-oriented browsers like Tails or Firefox and ad-blockers like Privacy Badger or uBlock Origin.

Finally, fingerprinting detection can be enhanced through the use of machine learning. By establishing normal ranges for the most common attributes, businesses can easily identify deviations that may indicate tampering or suspicious activity. This allows businesses to flag or closely monitor suspicious transactions.