CVE-2026-2734— MLflow 访问控制错误漏洞

Authorization Bypass in SearchModelVersions in mlflow/mlflow

In mlflow/mlflow versions up to 3.9.0, the `SearchModelVersions` REST API endpoint and the `mlflowSearchModelVersions` GraphQL query lack proper per-model authorization checks when basic authentication is enabled. This allows any authenticated user to enumerate all model versions across all registered models, regardless of their permission level. The issue arises due to the absence of `SearchModelVersions` in the `BEFORE_REQUEST_VALIDATORS` and `AFTER_REQUEST_HANDLERS` for the REST API, and its omission from `GraphQLAuthorizationMiddleware.PROTECTED_FIELDS` for GraphQL. This vulnerability can expose sensitive information such as model names, version descriptions, source URIs, tags, and other metadata, potentially revealing proprietary or confidential details in multi-tenant environments. The issue is resolved in version 3.10.0.

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访问控制不恰当

MLflow 访问控制错误漏洞

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 3.9.0及之前版本存在访问控制错误漏洞，该漏洞源于SearchModelVersions REST API端点和mlflowSearchModelVersions GraphQL查询缺乏适当的每模型授权检查，可能导致经过身份验证的用户枚举所有模型版本。

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