CVE-2025-14287
highPriorität · verfolgen · 36EPSS 0.015 · 74. PerzentilEURUUSEPSS · bewertet 2026-10-27
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.
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Hersteller- und Ökosystem-Meldungen dazu.
- GHSA-xch3-2f9x-wh9fMLflow has a command injection in mlflow/sagemaker/__init__.py2026-03-16ghsa · osvUS
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.
- BIT-mlflow-2025-14287Command Injection in mlflow/mlflow2026-04-16vendor · osvUS
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.
- PYSEC-2026-2661MLflow has a command injection in mlflow/sagemaker/__init__.py2026-07-13vendor · osvUS
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.
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Referenzen (8)
Externe Belege — Patches, Meldungen, Analysen.
- https://access.redhat.com/security/cve/cve-2025-14287cnnvd
- https://github.com/mlflow/mlflow/releasesPatchcnnvd
- https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3cnnvd
- https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3enisa_euvd
- https://access.redhat.com/security/cve/CVE-2025-14287nvd
- https://bugzilla.redhat.com/show_bug.cgi?id=2447690nvd
- https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3ExploitThird Party Advisorynvd
- https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-14287.jsonnvd
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