Vulnerability 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.
CVSS Score
CRITICAL
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Lfprojects | Mlflow | < 3.15.0 |
Related Weaknesses (CWE)
References
- https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939Patch
- https://github.com/mlflow/mlflow/issues/24179ExploitIssue TrackingMitigation
- https://github.com/mlflow/mlflow/pull/24258Issue TrackingPatch
- https://github.com/mlflow/mlflow/releases/tag/v3.15.0Release Notes
- https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969jExploitVendor Advisory
- https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-US Government Resource
FAQ
What is CVE-2026-64849?
CVE-2026-64849 is a vulnerability with a CVSS score of 9.3 (CRITICAL). 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 c...
How severe is CVE-2026-64849?
CVE-2026-64849 has been rated CRITICAL with a CVSS base score of 9.3/10. This is considered a critical vulnerability requiring immediate attention.
Is there a patch for CVE-2026-64849?
Check the references section above for vendor advisories and patch information. Affected products include: Lfprojects Mlflow.