Data Science Pipelines Operator vulnerabilities

A flaw was found in the Data Science Pipelines Operator (DSPO) where the spec.database.customExtraParams field allows injection of dangerous parameters into the MySQL DSN string. An attacker with namespace editor privileges can enable LOCAL INFILE and exfiltrate sensitive files like the service account token, leading to privilege escalation to cluster-admin.

A flaw was found in the Data Science Pipelines Operator where credentials like MariaDB passwords and MinIO keys are generated using a cryptographically weak PRNG, making them predictable. An unauthenticated attacker with access to the MinIO Route or MariaDB Service can derive these credentials and gain unauthorized access to all pipeline artifacts and metadata.

A flaw was found in the Data Science Pipelines Operator (DSPO) where its ClusterRole grants excessive privileges, including the ability to execute commands in pods and manage cluster-wide roles. If the DSPO pod is compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.