Detections
Analytics
CVE-2026-64849
critical
Description
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. 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.
References
https://www.databreachtoday.com/mlflow-flaw-opens-path-to-cloud-credentials-theft-a-32626
https://www.securityweek.com/mlflow-vulnerability-exploited-for-cloud-credential-theft/
https://thehackernews.com/2026/08/attackers-exploit-mlflow-ssrf-flaw-to.html
https://github.com/zavisco/CVE-2026-64849.yaml
https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849
https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j
https://github.com/mlflow/mlflow/releases/tag/v3.15.0
https://github.com/mlflow/mlflow/pull/24258
https://github.com/mlflow/mlflow/issues/24179
https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939