Critical MLflow SSRF Vulnerability Exploited by Hackers in the Wild

Critical MLflow SSRF Flaw Exploited in the Wild

A critical unauthenticated server-side request forgery (SSRF) vulnerability in MLflow, tracked as CVE-2026-64849, is being actively exploited within hours of its disclosure, according to watchTowr. This flaw affects MLflow versions before 3.15.0 and can expose cloud credentials, internal services, and other sensitive data to remote attackers. MLflow SSRF Flaw The vulnerability exists in MLflow’s model-registry webhook testing functionality. A de…

Critical MLflow SSRF Vulnerability Exploited by Hackers in the Wild

Threat actors are actively exploiting a critical, unauthenticated server-side request forgery (SSRF) vulnerability in MLflow, the popular open-source platform widely used by data engineering and machine learning teams to track experiments, package code, and deploy models. Tracked as CVE-2026-64849 with a critical CVSS 3.1 score of 9.3, the flaw impacts all MLflow versions prior to […] This article has been indexed from Cyber Security News Read …