Security researchers have demonstrated that AI tools are making it significantly easier to discover and exploit years-old vulnerabilities in PHP, a language that powers millions of websites. The research shows that AI-assisted code analysis can identify exploitable bugs in legacy codebases much faster than traditional security scanning, and that AI can help craft attack code against those vulnerabilities.

The PHP case is instructive because it reveals a two-sided impact of AI on security: the same tools that help defenders find bugs faster also enable attackers to weaponize those bugs more quickly. This compresses the window of time an organization has to patch vulnerabilities once they're discovered, making incident response timelines tighter.

What This Means for Your Business

Organizations running PHP applications or other legacy codebases should treat this as an urgent security signal. Your vulnerability management and patching processes now face shorter timelines, as AI-powered exploitation means attackers can move faster from discovery to attack. Prioritize conducting a comprehensive code audit for legacy applications, establish faster patch deployment pipelines, and consider whether migrating away from end-of-life languages like older PHP versions makes economic sense in an era of AI-assisted attacks.