Descripción
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, third-party scorer deserialization in mlflow/genai/scorers/base.py accepts request-selected descendants of THIRD_PARTY_SCORER_ALLOWED_MODULES rather than requiring an exact allowed module. A caller can use MLflow artifact endpoints to place a Python module beneath a writable allowed package and submit its module and class through /ajax-api/3.0/mlflow/scorer/invoke. Scorer.model_validate_json() imports the module and constructs the class before trace processing. Authentication-disabled deployments permit this code execution without credentials, while basic-auth deployments require a principal capable of creating an experiment and run and uploading artifacts. In either configuration, the allowed scorer package must be writable by the server process. This issue is fixed in version 3.17.0.
Qué hacer
Revisa si usas el producto afectado y en qué versión, y aplica la actualización o la mitigación que indique el aviso del fabricante. CISA no ha confirmado que se esté explotando; si eso cambia, esta ficha pasa a «explotada» y te avisamos en el boletín.
Versiones afectadas
- mlflow Afectadas: >= 3.12.0rc0, < 3.17.0
Según el registro de la vulnerabilidad en CVE.org, tal como lo publicó el fabricante. Confirma tu versión exacta en el aviso del fabricante.
Referencias
- Referencia en github.comgithub.com/mlflow/mlflow/security/advisories/GHSA-26p8-2jq9-3vq9
- Referencia en github.comgithub.com/mlflow/mlflow/pull/25906
- Referencia en github.comgithub.com/mlflow/mlflow/commit/a732443e695c3c677680c54320efc394c8165…
- Referencia en github.comgithub.com/mlflow/mlflow/releases/tag/v3.17.0