CVE-2025-15379
A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_
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.
CRITICAL · CVSS 9.8
EPSS 0.00269
Act now
- Public exploit or PoC is available
- SSVC automatable: yes - attacks can be scripted at scale
- CVSS base score ≥ 7.0
Sigma rules0
YARA rules0