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What is canvas fingerprinting?

What is canvas fingerprinting?

Canvas fingerprinting was developed as a web tracking technique that uses a combination of system attributes to create a unique identifier for a user. When a user visits a web page that contains an HTML5 canvas element, their browser will render the canvas in a slightly different way than other browsers or systems. By analyzing attributes of the rendered canvas such as software, hardware, and graphics driver versions, a unique “fingerprint” can be created to track a user across websites.

How was canvas fingerprinting developed?

Canvas fingerprinting is a form of browser-based tracking and identification developed by academics at Princeton University to determine a computer’s unique identifier by analyzing the HTML5 canvas element. The canvas element is used to draw graphics and render text on the page, and can be used to collect information about a particular device or user. This data includes browser type, operating system, screen size and other factors which can be used to create a digital fingerprint. The data is then used to identify the computer on subsequent visits or when accessing different websites.

Canvas fingerprinting has been used by many companies and organizations for various purposes such as analytics, marketing, and profiling user behavior. With new technologies being developed all the time, canvas fingerprinting is expected to become increasingly widespread. As such, it is important to be aware of its implications and take measures to protect your privacy.

How does HTML canvas fingerprinting work?

The HTML canvas element is a bitmap canvas, which means it is a dynamic image that can be drawn on using JavaScript. The JavaScript on the web page will draw an image on the canvas and analyze attributes of the rendering to create a fingerprint. Even minor differences in a user’s system and software will create variations in the canvas rendering, allowing a fingerprint to be generated.

Why is canvas fingerprinting important?

Canvas fingerprinting is important because it enables tracking users across websites without using cookies or other traditional tracking methods. This makes it difficult for users to block or delete tracking data. However, canvas fingerprinting does have legitimate uses, such as preventing abuse by detecting and blocking bots or fraudulent logins. It can also enable personalization by identifying returning users and their interests. In fraud detection, canvas fingerprinting is useful for detecting device spoofing attempts where fraudsters try to mask their device attributes to evade detection.

How can canvas fingerprinting be used?

To prevent abuse, canvas fingerprinting uses the unique characteristics of a user’s device graphics to identify them. This makes it difficult for malicious actors to spoof or replicate another user’s fingerprint. The fingerprint is also device-specific, so it cannot be copied across devices. This deters automated bots or scripts from abusing the system.

For user account security, canvas fingerprints can be used as an additional layer of authentication. The fingerprint can be compared against a stored baseline to verify a user’s identity. Since the fingerprint is difficult to replicate, it makes account takeover more challenging if the fingerprint is included as part of a multi-factor authentication process.

For site personalization, a user’s canvas fingerprint allows them to be uniquely identified so that their preferences and behaviors can be tracked. The site can then customize the experience for the individual user based on their history. This leads to a more personalized experience.

How does canvas fingerprinting work in fraud detection?

In fraud detection, unusual activity from a user account can be flagged if the canvas fingerprint does not match the established pattern. For example, logins from a new device or location could trigger additional authentication if the fingerprint is not recognized. This makes fraudulent access more difficult and can help identify suspicious activity that requires further review.

*** This is a Security Bloggers Network syndicated blog from Blog – DataDome authored by DataDome. Read the original post at: https://datadome.co/learning-center/canvas-fingerprinting/