CVE-2026-69148
Published:August 17, 2026
Updated:August 31, 2026
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a run_id or model_id after _validate_source_run() or _validate_source_model() in mlflow/server/handlers.py verifies only path containment, allowing authenticated users to create a model version that references another user's artifact directory and read files through GET /model-versions/get-artifact without the required READ permission. This issue is fixed in version 3.15.0.
Affected Packages
mlflow (CONDA):
Affected version(s) >=0.9.0.1 <3.15.0Fix Suggestion:
Update to version 3.15.0https://github.com/mlflow/mlflow.git (GITHUB):
Affected version(s) >=v0.2.0 <v3.15.0Fix Suggestion:
Update to version v3.15.0mlflow (PYTHON):
Affected version(s) >=0.0.1 <3.15.0Fix Suggestion:
Update to version 3.15.0Related Resources (7)
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Contact UsCVSS v4
Base Score:
7.1
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
LOW
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
LOW
Vulnerable System Availability
NONE
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
7.1
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
LOW
Availability
NONE
Weakness Type (CWE)
Missing Authorization
EPSS
Base Score:
0.22