AI-Assisted Security Research Disrupts Websites by Exposing Widely Used Code Flaws
AI was used to uncover critical security vulnerabilities in code that powers many websites, according to reports from the Los Angeles Times and AFP. The flaws were serious enough that affected websites went dark, although the available reports do not specify the affected services, the precise nature of the vulnerabilities, or the full scope of the disruption.
The episode illustrates how AI can accelerate the identification of flaws in widely deployed software. It also demonstrates the potential consequences when the same underlying code is used across a large number of websites: a single vulnerability can produce broad disruption before fixes can be deployed.