Javascript Web FingerprintingJavascript Web Fingerprinting
Web fingerprinting is a popular technique used by websites to identify and prevent bots, web scrapers and other automated software from accessing their sites. It involves combining multiple attributes from the web browser and device to generate a unique identifier that can be compared against a list of known fingerprints to determine whether a visitor is a human or a bot. Read more :ipqualityscore.com
In the article, we will explore several different techniques for javascript web fingerprinting and how they work in practice. We will start by looking at the data points that are commonly used to generate fingerprints such as the user agent string, screen metrics, rendering capabilities (like HTML5 canvas and WebGL), audio context, installed fonts, CSS styles, mathematical calculations, console errors, and other indicators. We will then look at how these signals are combined by fingerprinting tools such as CreepJS to create a more detailed and unique browser fingerprint.
The Role of JavaScript Web Fingerprinting in Online Security
While browser fingerprinting seems straightforward, it is not without its challenges. In fact, a recent study found that even in ideal conditions where off-the-shelf web applications are being scanned under as little customization as possible, 94.8% of them were not correctly identified by fingerprinting tools.
One of the reasons for this is the natural evolution of web technologies and how it can impact fingerprints over time. For example, the fingerprint of a browser can be changed by changing the operating system, installing new plugins or changing the browser’s user-agent string. Some of these changes are directly reflected in the fingerprint, but others are indirect such as changing the time zone or adding/removing fonts.…