- Critical 9.3
- Known exploited (CISA KEV)
CVE-2026-64849
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.
Scores
The facts
- Published
- 17 August 2026
- Last changed
- 5 October 2026
- NVD status
- Analyzed
- Severity
- Critical, CVSS 9.3 out of 10 (version 3.1)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N - Weakness
- Affects
- lfprojects mlflow
- Known exploited
- Yes. CISA added it to the Known Exploited Vulnerabilities catalogue on 19 August 2026.
- EPSS
- 9.8% chance of exploitation activity in the next 30 days (percentile 96).
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