Command Injection in mlflow/mlflow

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.

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在命令中使用的特殊元素转义处理不恰当(命令注入)

MLflow 命令注入漏洞

MLflow是MLflow开源的一个简化机器学习开发的平台，包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。 MLflow 3.8.0版本存在命令注入漏洞，该漏洞源于_install_model_dependencies_to_env函数在部署模型时未清理依赖项规范，可能导致命令注入攻击，进而执行任意命令。

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