Описание
A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the mlflow/sagemaker/__init__.py file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using os.system(). This allows attackers to execute arbitrary commands by supplying malicious input through the --container parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments.
Уязвимые конфигурации
EPSS
7.5 High
CVSS3
8.8 High
CVSS3
7.8 High
CVSS3
Дефекты
Связанные уязвимости
A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments.
MLflow has a command injection in mlflow/sagemaker/__init__.py
Уязвимость функции os.system() платформы управления жизненным циклом моделей машинного обучения MLflow, позволяющая нарушителю выполнять произвольные команды
EPSS
7.5 High
CVSS3
8.8 High
CVSS3
7.8 High
CVSS3