MLflow SHAP 函数存在不可信数据反序列化导致的远程代码执行漏洞。该漏洞允许远程攻击者在受影响的 MLflow 安装中执行任意代码。利用此漏洞需要用户交互,即目标用户必须访问恶意网页或打开恶意文件。 具体缺陷存在于 SHAP 解释器模型的加载过程中。问题源于对用户提供的数据缺乏适当的验证,从而导致不可信数据被反序列化。攻击者可利用此漏洞在当前用户的上下文中执行恶意代码。该漏洞编号为 ZDI-CAN-30301。
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Login to generate AI POC| CVE-2026-118626 | MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability | |
| CVE-2026-118628 | MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability | |
| CVE-2026-118624 | MLflow Tracking Server Jobs Missing Authorization Information Disclosure Vulnerability | |
| CVE-2026-118623 | MLflow PickleEvaluationArtifact Deserialization of Untrusted Data Remote Code Execution Vu | |
| CVE-2026-118625 | MLflow Tracking Server Missing Authorization Privilege Escalation Vulnerability |