Bug 2447690 (CVE-2025-14287)

Summary:	CVE-2025-14287 mlflow: MLflow: Arbitrary command execution via unsanitized container image names
Product:	[Other] Security Response	Reporter:	OSIDB Bzimport <bzimport>
Component:	vulnerability	Assignee:	Product Security <prodsec-ir-bot>
Status:	NEW ---	QA Contact:
Severity:	high	Docs Contact:
Priority:	high
Version:	unspecified	CC:	jkoehler, lphiri
Target Milestone:	---	Keywords:	Security
Target Release:	---
Hardware:	All
OS:	Linux
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Doc Text:	A flaw was found in MLflow, a platform for managing the machine learning lifecycle. This vulnerability, known as command injection, allows an attacker to execute unauthorized commands on the system. By providing specially crafted input through the `--container` parameter, an attacker can bypass security checks and inject malicious code. This can lead to arbitrary command execution, potentially compromising the integrity and confidentiality of the affected system.	Story Points:	---
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oVirt Team:	---	RHEL 7.3 requirements from Atomic Host:
Cloudforms Team:	---	Target Upstream Version:
Embargoed:

Description OSIDB Bzimport 2026-03-15 10:01:47 UTC

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.