CVE-2025-15379

Description

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.

CVSS Metrics

• v3.0•CRITICAL•Score: 10CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Techniques & Countermeasures

• CWE-77•Improper Neutralization of Special Elements used in a Command ('Command Injection')

  The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component.

Affected Systems

• mlflow•mlflow/mlflow

  ≥ unspecified, < 3.8.2

References (2)

• https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75
• https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e