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.
describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2025-14287US | high8.8 | — | ||
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… | ||||
references
External citations — patches, advisories, analysis.
- https://github.com/advisories/GHSA-xch3-2f9x-wh9fADVISORY
- https://github.com/mlflow/mlflowPACKAGE
- https://github.com/mlflow/mlflow/commit/8b8792a7034fb33a14b0b31cabcaa9b912d3485fWEB
- https://github.com/mlflow/mlflow/pull/19277WEB
- https://github.com/mlflow/mlflow/releases/tag/v3.8.0rc0WEB
- https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3WEB
- https://nvd.nist.gov/vuln/detail/CVE-2025-14287ADVISORY
- https://pypi.org/project/mlflowPACKAGE
Advisories like this name the exposed products attackers go after on your perimeter. See what is exposed on your perimeter with a free passive scan.
Free scan