PYSEC-2026-423

MLflow Command Injection vulnerability

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 3.8.1.

Paquets affectés

Références

• https://nvd.nist.gov/vuln/detail/CVE-2025-15379 ADVISORY
• https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e WEB
• https://github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205 WEB
• https://github.com/mlflow/mlflow PACKAGE
• https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75 WEB
• https://pypi.org/project/mlflow PACKAGE
• https://github.com/advisories/GHSA-r23q-823p-vmf7 ADVISORY

Sources