CVE-2026-64849
קריטית 9.3 מנוצלת בשטח (KEV)
ניצול פעיל מאומת — קטלוג CISA KEV
- שם
- MLflow Server-Side Request Forgery Vulnerability
- נוסף לקטלוג
- יעד טיפול (פדרלי)
- פעולה נדרשת
- 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.
תיאור (מקור, אנגלית)
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.
מדדים
- CVSS 3.1
-
9.3 (CRITICAL)
מקור הציון: CNA
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N - EPSS — סבירות ניצול
- 10% (אחוזון 96) נכון ל-1 בנובמבר 2026
- CWE
- CWE-918
מוצרים מושפעים
lfprojects: mlflow
קישורים
- https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j ExploitVendor Advisory
- https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939 Patch
- https://github.com/mlflow/mlflow/pull/24258 Issue TrackingPatch
- https://github.com/mlflow/mlflow/issues/24179 ExploitIssue TrackingMitigation
- https://github.com/mlflow/mlflow/releases/tag/v3.15.0 Release Notes
- https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-202… US Government Resource