Uncontrolled Resource Consumption in mlflow/mlflow

In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.

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未加控制的资源消耗(资源穷尽)

MLflow 安全漏洞

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 v2.13.2版本存在安全漏洞，该漏洞源于实验名称无限制，可能导致拒绝服务。

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