by Kastro CVE-2025-15379
mlflow mlflow/mlflow — Command Injection in mlflow/mlflow
Description · from the CVE record
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
ProductAffectedFixed inSource
mlflow/mlflowunspecified – < 3.8.23.8.2CNA
Red Hat OpenShift AI (RHOAI)see advisory–redhat-SADP
Red Hat OpenShift AI (RHOAI)see advisory–redhat-SADP
Scores by source
@huntr_ai (CNA)10.0CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
NVD10.0CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
redhat-SADP (CNA)9.0CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
CISA ADPSSVCExploitation: poc · Automatable: yes · Technical impact: total