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CVE-2026-64849
Published:August 17, 2026
Updated:September 01, 2026
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.
Affected Packages
mlflow (CONDA):
Affected version(s) >=0.9.0.1 <3.15.0
Fix Suggestion:
Update to version 3.15.0
https://github.com/mlflow/mlflow.git (GITHUB):
Affected version(s) >=v0.2.0 <v3.15.0
Fix Suggestion:
Update to version v3.15.0
mlflow (PYTHON):
Affected version(s) >=0.0.1 <3.15.0
Fix Suggestion:
Update to version 3.15.0
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CVSS v4
Base Score:
9.2
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
LOW
Vulnerable System Availability
NONE
Subsequent System Confidentiality
HIGH
Subsequent System Integrity
LOW
Subsequent System Availability
NONE
Exploit Maturity
ATTACKED
CVSS v3
Base Score:
9.3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
CHANGED
Confidentiality
HIGH
Integrity
LOW
Availability
NONE
Exploit Maturity
HIGH
Weakness Type (CWE)
Server-Side Request Forgery (SSRF)
EPSS
Base Score:
16.41