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.
Actively exploited
- In the CISA exploited-vulnerabilities catalogue since Aug 19, 2026
- US federal agencies must remediate it by Sep 2, 2026 (BOD 22-01)
- Attacked on the day of disclosure
- Confirmed by sensors, not only by reports
Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines.
Source: CISA KEV · Oct 2, 2026 Oct 1, 2026 Sep 30, 2026 Sep 27, 2026 Sep 25, 2026 Sep 22, 2026
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:NAffected products
| Vendors | Product | Versions |
|---|---|---|
| lfprojects | mlflow | < 3.15.0 |
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