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.
References (4)
Core 4
Core References
Vendor Advisory
https://access.redhat.com/security/cve/CVE-2025-14287
Vendor Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2447690
Exploit, Third Party Advisory
https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3
Scores
CVSS v3
8.8
EPSS
0.0146
EPSS Percentile
70.4%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CISA SSVC
Vulnrichment
Exploitation
poc
Automatable
no
Technical Impact
total
Details
CWE
CWE-78
CWE-94
Status
published
Products (3)
lfprojects/mlflow
< 3.7.0
mlflow/mlflow/mlflow
unspecified - latest
pypi/mlflow
0 - 3.8.0rc0PyPI
Published
Mar 16, 2026
Tracked Since
Mar 16, 2026