Описание
A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure.
Отчет
The Data Science Pipelines Operator in Red Hat OpenShift AI is susceptible to a Moderate severity vulnerability where it generates weak credentials for MariaDB and MinIO using a cryptographically insecure pseudo-random number generator if users do not provide their own. An unauthenticated attacker able to access the MinIO Route or MariaDB Service could potentially derive these credentials, leading to unauthorized access to pipeline artifacts and metadata. This risk is elevated in deployments where MinIO is exposed via a public OpenShift Route or MariaDB allows empty root passwords.
Меры по смягчению последствий
To mitigate this issue, users should explicitly provide strong, cryptographically secure credentials for MariaDB and MinIO when deploying the Data Science Pipelines Operator. Additionally, restrict network access to the MinIO and MariaDB services using OpenShift NetworkPolicies to limit exposure. Avoid exposing MinIO via public OpenShift Routes unless absolutely necessary and ensure MariaDB is not configured with an empty root password.
Дополнительная информация
Статус:
7.5 High
CVSS3
Связанные уязвимости
A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure.
A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure.
7.5 High
CVSS3