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MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in _create_model_version() accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and mlflow.prompt.is_prompt is interpreted by tag presence rather than a true value. A remote caller can store a server-local path as the model version artifact location and use /api/2.0/mlflow/model-versions/get-artifact to read files accessible to the MLflow server process. Default unauthenticated servers require no privileges, while basic-auth deployments are exposed to authenticated users who can create registered models. This issue is fixed in version 3.17.0.

• https://github.com/mlflow/mlflow/security/advisories/GHSA-m65p-9j7q-6w33 x_refsource_CONFIRM
• https://github.com/mlflow/mlflow/pull/25870 x_refsource_MISC
• https://github.com/mlflow/mlflow/commit/81730a2ce4ebcd60d5d18f68c96f422ad7e30772 x_refsource_MISC
• https://github.com/mlflow/mlflow/releases/tag/v3.17.0 x_refsource_MISC