GitHub Advisoryadvisory · PyPI
GHSA-xch3-2f9x-wh9f MLflow has a command injection in mlflow/sagemaker/__init__.py
HIGH
Official page ↗
- Aliases
- CVE-2025-14287
- Ecosystem
- PyPI
- Packages
- mlflow
- Severity
- High
- CVSS vector
- CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
- Weaknesses
- CWE-94
- Reviewed
- 2026-03-17
Affected packages
• PyPI mlflow: < 3.8.0rc0 → fixed in 3.8.0rc0
Description
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.
Related
Alias · CVE (1)
- CVE-2025-14287 A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file… vulnerability
Weakness · CWE (1)
- CWE-94 Improper Control of Generation of Code weakness
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-14287 advisory
- https://github.com/mlflow/mlflow/pull/19277 web
- https://github.com/mlflow/mlflow/commit/8b8792a7034fb33a14b0b31cabcaa9b912d3485f web
- https://github.com/mlflow/mlflow package
- https://github.com/mlflow/mlflow/releases/tag/v3.8.0rc0 web
- https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3 web