7.5
HIGH CVSS 3.0
CVE-2025-14287
Command Injection in mlflow/mlflow
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.

INFO

Published Date :

March 16, 2026, 2:17 p.m.

Last Modified :

March 16, 2026, 2:53 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2025-14287 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Lfprojects mlflow
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.0 HIGH [email protected]
Solution
Update MLflow to version 3.7.0 or later to fix command injection vulnerabilities.
  • Update MLflow to version 3.7.0 or later.
  • Sanitize all user inputs used in shell commands.
  • Avoid using os.system() with user-controlled input.
  • Implement input validation for container image names.
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2025-14287.

URL Resource
https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-14287 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2025-14287 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2025-14287 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2025-14287 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Mar. 16, 2026

    Action Type Old Value New Value
    Added 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.
    Added CVSS V3 AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
    Added CWE CWE-94
    Added Reference https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.