Remote Code Execution due to Full Controlled File Write in mlflow/mlflow

A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.http_dataset_source.py` module. Specifically, when loading a dataset from a source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0.

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对路径名的限制不恰当(路径遍历)

Mlflow 安全漏洞

Mlflow是一个机器学习生命周期的开源平台。 Mlflow存在安全漏洞，该漏洞源于操作系统命令中使用的特殊元素未正确中和，从而导致攻击者能够利用路径遍历或绝对路径技术，实现任意文件写入。

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