MLflow 跟踪服务器作业存在因缺少授权而导致的敏感信息泄露漏洞。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;利用此漏洞需要预先通过身份验证。 该具体缺陷存在于 函数中。问题根源在于在允许访问相关功能之前未执行授权检查。攻击者可利用此漏洞,以服务账户的上下文泄露信息。此漏洞编号为 ZDI-CAN-31894。
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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-2026-118628 | MLflow get-artifacts Server-Side Request Forgery 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 |