Javascript Web FingerprintingJavascript Web Fingerprinting
Fingerprinting uses a combination of browser attributes to create a unique identifier for a device, screen, and browser. This allows web applications to identify the user and tailor a website experience to their needs. Some fingerprinting signals are explicit, such as the browser version, operating system, and graphics card. Other signals are more implicit, such as the list of installed fonts.Read more :https://www.ipqualityscore.com/device-fingerprinting
Under laboratory conditions, fingerprinting tools correctly identified 94.8% of all tested web applications. However, under real-world conditions, the accuracy of fingerprinting drops to about 40%. In particular, fingerprinting tools struggle with web application version-collisions (multiple versions of the same application) and are sometimes impeded by Content Delivery Networks that minify files to improve performance. Other obstacles include the use of security or privacy-focused browsers that block fingerprinting signals or adopt hardening measures to protect their users against unwanted fingerprinting attempts.
A Beginner’s Guide to JavaScript Web Fingerprinting for Developers
For these reasons, fingerprinting is a challenging problem for browser automation tools. To counter fingerprinting, some bots attempt to hide their true identity by using a variety of methods such as rotating proxies and headless browsers. Others try to spoof their devices and browsers by changing their settings. To overcome this, the anti-bot industry has developed a sophisticated cat-and-mouse game that involves combining multiple detection techniques.
To counter the rise of automated web scrapers, some companies have created commercial fingerprinting solutions. CreepJS, an open source fingerprinting library, is one of the most comprehensive and provides a wide range of detection techniques. Other tools like Castle and Seon offer more advanced capabilities, such as data aggregations.…