10.0
Critical
CVE-2025-15379 A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the…
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 products and versions
| Product | Affected versions | Fixed in |
|---|---|---|
| mlflow/mlflow 3.8 | earliest → < 3.8.2 | 3.8.2 |
| Red Hat OpenShift AI (RHOAI) | Versions not published |
References
- huntr.com huntr.com
- github.com github.com
Timeline
- Published
- Last modified
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