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GHSA-xch3-2f9x-wh9f

Опубликовано: 16 мар. 2026
Источник: github
Github: Прошло ревью
CVSS3: 7.5

Описание

MLflow has a command injection in mlflow/sagemaker/init.py

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.

Пакеты

Наименование

mlflow

pip
Затронутые версииВерсия исправления

< 3.8.0rc0

3.8.0rc0

EPSS

Процентиль: 71%
0.01456
Низкий

7.5 High

CVSS3

Дефекты

CWE-94

Связанные уязвимости

CVSS3: 7.8
redhat
5 месяцев назад

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.

CVSS3: 8.8
nvd
5 месяцев назад

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.

CVSS3: 7.5
fstec
8 месяцев назад

Уязвимость функции os.system() платформы управления жизненным циклом моделей машинного обучения MLflow, позволяющая нарушителю выполнять произвольные команды

EPSS

Процентиль: 71%
0.01456
Низкий

7.5 High

CVSS3

Дефекты

CWE-94