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.
oryginał ENCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:NLfprojects Mlflow
APPLfprojects< 3.15.0
CISA KEV — szczegółyi
- Dostawcai
- MLflow
- Produkti
- MLflow
- Data dodania do KEVi
- 19 sierpnia 2026
- Termin remediation (USA)i
- 2 września 2026(po terminie)
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.
oryginał ENMLflow contains a server-side request forgery vulnerability that can allow attackers to reach internal or cloud metadata services and receive response_status and response_body.
oryginał ENPowiązane podatności
MLflow: nieautoryzowany dostęp do endpointów multipart upload (RCE)
MLflow: nieprawidłowa walidacja origin umożliwia RCE przez cross-origin request
Brak uwierzytelnienia w endpointach FastAPI jobs w MLflow (Auth Bypass / RCE)
Path traversal w MLflow — nadpisanie plików i eskalacja uprawnień
Command injection w MLflow podczas inicjalizacji kontenera modelu