{"schemaVersion":3,"id":"CVE-2025-15379","aliases":["GHSA-r23q-823p-vmf7","BIT-mlflow-2025-15379","PYSEC-2026-423"],"status":"published","duplicateOf":null,"title":null,"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. 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