CVE-2026-64849: MLflow Server-Side Request Forgery Vulnerability

Critical severity, CVSS 9.3. Actively exploited: in CISA KEV since 2026-08-19. EPSS: 9.8% chance of exploitation in the next 30 days.

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.

Affected products

• Lfprojects MLflow: from 3.3.0, before 3.15.0 (fixed in 3.15.0)

Published 2026-08-17. Last modified 2026-10-05.