MLflow 的 功能存在服务端请求伪造(SSRF)导致的信息泄露漏洞。该漏洞允许远程攻击者在受影响的 MLflow 安装中泄露敏感信息,且利用此漏洞无需进行身份验证。 具体缺陷存在于 函数中,原因是该函数在访问资源前未对 URI 进行适当的验证。攻击者可利用此漏洞,在服务器上下文中泄露信息。该漏洞编号为 ZDI-CAN-28192。
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Login to generate AI POC| CVE-2026-118626 | MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability | |
| CVE-2026-118627 | MLflow SHAP load_explainer Deserialization of Untrusted Data Remote Code Execution Vulnera | |
| 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 |