CVE-2026-18611
Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials
CVSS Score
7.5
EPSS Score
0.0%
EPSS Percentile
0th
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.
| CWE | CWE-338 |
| Vendor | red hat |
| Product | red hat openshift ai (rhoai) |
| Published | Aug 10, 2026 |
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CVSS v3 Breakdown
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None
Affected Versions
Red Hat / Red Hat OpenShift AI (RHOAI)
All versions affected