HTML5 Canvas | Breaking Cybersecurity News | The Hacker News

Do you know? Thousands of websites use HTML5 Canvas —a method supported by all major browsers that allow websites to dynamically draw graphics on web pages—to track and potentially identify users across the websites by secretly fingerprinting their web browsers. Over three years ago, the concern surrounding browser fingerprinting was highlighted by computer security experts from Princeton University and KU Leuven University in Belgium. In 2014, the researchers demonstrated how browser's native Canvas element can be used to draw unique images to assign each user's device a number (a fingerprint) that uniquely identifies them. These fingerprints are then used to detect when that specific user visits affiliated websites and create a profile of the user's web browsing habits, which is then shared among advertising partners for targeted advertisements. Since then many third-party plugins and add-ons (ex. Canvas Defender ) emerged online to help users identify and block

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or