Attackers exploit a critical SSRF flaw in the MLflow AI platform to steal cloud credentials
watchTowr Labs reported that attackers are actively exploiting CVE-2026-64849, an unauthenticated server-side request forgery flaw in MLflow — an open-source platform for tracking ML models, LLMs and AI agents — to reach internal and cloud-metadata endpoints and extract credentials and secrets. The flaw, rated CVSS 9.3 and fixed in MLflow 3.15.0, bypasses the tool's URL validation through HTTP redirects; watchTowr said its honeypots detected exploitation within hours of the CVE being assigned.