CVE-2025-15379
CRITICAL10.0EPSS 0.27%Command Injection in mlflow/mlflow
Published: 3/30/2026Modified: 4/29/2026
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.
Affected packages (2)
- Bitnami/mlflow>= 3.8.0, < 3.9.0
- PyPI/mlflowfrom 0, < 3.8.1
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | CRITICAL10.0 | CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H |
References (5)
- ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2025-15379
- PATCHhttps://github.com/mlflow/mlflow
- WEBhttps://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e
- WEBhttps://github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205
- WEBhttps://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75