1. Introduction: The Invisible Backdoor 2. How Dependency Confusion Works: Step-by-Step Anatomy of an Attack: plaintext Copy Download 1. Attacker scouts internal package names (e.g., `company-auth-lib`). 2. Uploads malicious version to public registry with a higher version number (e.g., `v99.0.0`). 3. Build systems (like Jenkins) prioritize public registries → install trojanized package. 3. Why It’s…
Introduction The open-source ecosystem thrives on trust and collaboration, but it is also a prime target for cybercriminals. One of the most insidious threats facing developers today is typosquatting attacks, where attackers upload malicious packages with names nearly identical to legitimate ones. These deceptive packages can lead to severe security breaches, including malware infections, data theft,…
Introduction In today’s fast-paced web development environment, frameworks and libraries have made developers’ lives significantly easier. Features like automatic data binding allow us to quickly capture and assign incoming HTTP request data to objects. However, this convenience can come at a steep price. One of the critical vulnerabilities that can arise from overly trusting automatic…
