Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials
21Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 7.5epss 0.4%
exploitation probability
0.4%top 63% of all CVEs
observed exploitation
nono source reports it
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.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Affected products
Red Hat · Red Hat OpenShift AI 2.25Red Hat · Red Hat OpenShift AI 3.3Red Hat · Red Hat OpenShift AI 3.4Red Hat · Red Hat OpenShift AI 3.5References
https://access.redhat.com/errata/RHSA-2026:53261https://access.redhat.com/errata/RHSA-2026:53262https://access.redhat.com/errata/RHSA-2026:53263https://access.redhat.com/errata/RHSA-2026:60367https://access.redhat.com/errata/RHSA-2026:60520https://access.redhat.com/errata/RHSA-2026:65126https://access.redhat.com/security/cve/CVE-2026-18611https://bugzilla.redhat.com/show_bug.cgi?id=2510299