Description
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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:NWeakness enumeration
Affected software
| Vendor | Product | Versions |
|---|---|---|
| mlflow | mlflow | >= 3.3.0, < 3.15.0 |
References
- https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939Patch
- https://github.com/mlflow/mlflow/issues/24179Exploit, Issue Tracking, Mitigation
- https://github.com/mlflow/mlflow/pull/24258Issue Tracking, Patch
- https://github.com/mlflow/mlflow/releases/tag/v3.15.0Release Notes
- https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969jExploit, Vendor Advisory
- https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849US Government Resource
Timeline
- Published
- Aug 17, 2026
- Last modified
- Oct 26, 2026
- Added to CISA KEV
- Aug 19, 2026
- NVD status
- Analyzed