CVE-2025-15379
mlflow mlflow/mlflow, Red Hat OpenShift AI (RHOAI), mlflow 취약점
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.
- 대응 우선순위
- 점검
- CVSS
- 9.8
- EPSS
- 1.99% 백분위 78.7% · 2026.08.03 기준
- CISA KEV
- 미등록
- 조치 기한
- -
- 공개일
- 2026.03.30