Описание
In the latest version of mlflow/mlflow, when the basic-auth app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with NO_PERMISSIONS on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using mlflow server --app-name=basic-auth are affected.
A flaw was found in mlflow/mlflow. When the basic-auth application is enabled, tracing and assessment endpoints lack proper permission validation. This allows any authenticated user, even those without specific permissions on an experiment, to read sensitive trace information and create unauthorized assessments. This vulnerability leads to information disclosure by exposing trace metadata and impacts data integrity by permitting unauthorized modifications.
Отчет
Red Hat products do not use basic-auth in their default deployments and are thus not exploitable in that configuration.
Затронутые пакеты
| Платформа | Пакет | Состояние | Рекомендация | Релиз |
|---|---|---|---|---|
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-mlflow-rhel9 | Not affected | ||
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-training-cuda128-torch29-py312-rhel9 | Not affected |
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Дополнительная информация
Статус:
8.1 High
CVSS3
Связанные уязвимости
In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.
8.1 High
CVSS3