7.1 HIGH
- CVSS version (CVSS): 3.1
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): Low (L)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): High (H)
- Integrity (I): Low (L)
- Availability (A): None (N)
- Modified Attack Vector (MAV): Network (N)
- Modified Attack Complexity (MAC): Low (L)
- Modified Privileges Required (MPR): Low (L)
- Modified User Interaction (MUI): None (N)
- Modified Confidentiality (MC): High (H)
- Modified Scope (MS): Unchanged (U)
- Modified Integrity (MI): Low (L)
- Modified Availability (MA): None (N)
Activity log
- Created suggestion
MLflow: CreateModelVersion source validation does not check READ permission on referenced run_id
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.
References
-
https://github.com/mlflow/mlflow/security/advisories/GHSA-gqch-g4w5-7qcw x_refsource_CONFIRM
-
https://github.com/mlflow/mlflow/pull/24293 x_refsource_MISC
-
https://github.com/mlflow/mlflow/releases/tag/v3.15.0 x_refsource_MISC
Affected products
- ==< 3.15.0
Matching in nixpkgs
pkgs.mlflow-server
Open source platform for the machine learning lifecycle
pkgs.pkgsRocm.mlflow-server
None
pkgs.python313Packages.mlflow
Open source platform for the machine learning lifecycle
pkgs.python314Packages.mlflow
Open source platform for the machine learning lifecycle
pkgs.pkgsRocm.python3Packages.mlflow
None
pkgs.python313Packages.mlflow-skinny
Lightweight version of MLflow that is designed to minimize package size
pkgs.python314Packages.mlflow-skinny
Lightweight version of MLflow that is designed to minimize package size
pkgs.python313Packages.mlflow-tracing
Open-Source SDK for observability and monitoring GenAI applications
pkgs.python314Packages.mlflow-tracing
Open-Source SDK for observability and monitoring GenAI applications
pkgs.python313Packages.sagemaker-mlflow
MLFlow plugin for SageMaker
pkgs.python314Packages.sagemaker-mlflow
MLFlow plugin for SageMaker
Package maintainers
-
@gquetel Grégor Quetel <gregor.quetel@telecom-paris.fr>
-
@GaetanLepage Gaetan Lepage <gaetan@glepage.com>