Unauth Data Science Pipelines Operator: Weak PRNG Exposes MariaDB/MinIO Creds
CVE-2026-18611 Published on August 10, 2026
Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials
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.
Vulnerability Analysis
CVE-2026-18611 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.
Timeline
Reported to Red Hat.
Made public. 7 days later.
Weakness Type
What is a PRNG Vulnerability?
The product uses a Pseudo-Random Number Generator (PRNG) in a security context, but the PRNG's algorithm is not cryptographically strong.
CVE-2026-18611 has been classified to as a PRNG vulnerability or weakness.
Products Associated with CVE-2026-18611
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Affected Versions
Red Hat OpenShift AI 2.25:- Version 1785189332 and below * is unaffected.
- Version 1785187936 and below * is unaffected.
- Version 1784833428 and below * is unaffected.
- Version 1787002057 and below * is unaffected.