The U.S. Cybersecurity and Infrastructure Security Agency (CISA) added a Progress LoadMaster vulnerability, tracked as CVE-2026-64849 (CVSS score of 9.3), to its Known Exploited Vulnerabilities (KEV) catalog.
CVE-2026-64849 is a critical server-side request forgery (SSRF) vulnerability in MLflow, a platform for managing machine-learning workflows. The issue affects MLflow versions before 3.15.0 and a remote attacker can exploit the issue without authentication. The vulnerability allows attackers to make requests from an exposed MLflow server to internal services, including cloud metadata endpoints, potentially exposing temporary cloud credentials.
Attackers are actively exploiting CVE-2026-64849 to access cloud metadata services and steal credentials and secrets. Cybersecurity firm watchTowr also observed widespread scanning for exposed MLflow instances just hours after the CVE was assigned on August 17, 2026.
“watchTowr Intel is observing in-the-wild exploitation of a critical unauthenticated Server-Side Request Forgery vulnerability in MLflow (CVE-2026-64849), the open-source platform for managing the machine learning and AI development lifecycle, with over 60 million monthly downloads.” watchTowr said in a post on LinkedIn. “Attackers are exploiting the vulnerability to reach cloud metadata services directly, and exfiltrating cloud credentials and secrets. Within hours of the CVE being assigned, Attacker Eye, our global honeypot network, detected attackers indiscriminately scanning for exposed MLflow systems online, capturing attempts against cloud-hosted instances.”
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