Web Programming Language Vulnerability Prompts Patching Rush
An artificial intelligence system has identified a vulnerability in a web programming language used by a large share of the web, with reports estimating that as many as 70% of websites could be affected. The finding has prompted a rapid effort among site operators to apply patches.
The remediation process has disrupted some websites, with some services going temporarily offline while operators addressed the issue. The episode highlights both the growing role of AI in identifying software flaws and the operational challenge of patching widely used components across the web.