CVE-2025-15379
Command Injection in mlflow/mlflow
Record summary
CVE-2025-15379 has a selected CVSS score of 9.8 (critical).
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.
Exploitation context
CISA SSVC decision
CISA Coordinator · SSVC 2.0.3 · Evaluated Mar 31, 2026 · Source: CVE List
Affected products and versions
4| Product | Source | Version range | Status |
|---|---|---|---|
Default status: unaffected | CVE List | Version data not supplied | |
Red Hat OpenShift AI (RHOAI)Browse Red Hat / Red Hat OpenShift AI (RHOAI)rhoai/odh-training-cuda128-torch29-py312-rhel9Default status: affected | CVE List | Version data not supplied | |
mlflow/mlflowBrowse mlflow / mlflow/mlflow | CVE List | Before 3.8.2 | affected |
mlflowBrowse PyPI / mlflow | GitHub Advisory | Before 3.8.1 · Fixed in 3.8.1 | affected |