Web fingerprinting is a covert form of tracking that takes place on the client-side of a browser. It’s used to identify a user’s browser and device, which can be used to track browsing habits and deliver targeted ads. Unlike cookies, web scrapers don’t need to be granted permission to use this type of tracking, and it’s harder for end-users to detect or opt-out. Go here :https://www.ipqualityscore.com/device-fingerprinting

Fingerprinting works by collecting a list of browser attributes and hashing them to create a unique identifier for each user. The more attributes collected, the more accurate the fingerprint will be. The list of attributes typically includes top-level configurations such as software versions, extensions, cookie settings, and languages. But there are also advanced techniques that rely on high-entropy data like GPU rendering, system fonts, and network conditions to generate a highly detailed profile of a user’s browser.

Best Practices for Implementing JavaScript Web Fingerprinting

Using this information, sites can track the device, operating system, and screen resolution of a visitor. Then, they can tailor content to match the visitor’s device and preferences.

Aside from ad targeting, fingerprinting can also be used to prevent bots from spoofing user agent strings. This type of spoofing is commonly used by fraudsters to trick website scrapers into believing they’re browsing on a different device. To combat this, researchers have developed an innovative technique that leverages GPU cache attacks to bypass Javascript fingerprinting.