Unauthenticated credential derivation via time-seeded math/rand
Published Aug 10, 2026 · Updated Aug 10, 2026
Predictable credential generation in Red Hat OpenShift AI 3.3 allows remote attackers to derive MariaDB and MinIO credentials over the network. The passwordGen function in controllers/dspipeline_params.go reseeds Go's math/rand with time.Now().UnixNano() on every call, and RetrieveOrCreateSecret uses its predictable output for database passwords and object-storage keys. Access to the MinIO Route or MariaDB Service and operator-generated defaults is required; recovered credentials expose read and write access to pipeline artifacts and metadata.
Summary
What happened
Predictable credential generation in Red Hat OpenShift AI 3.3 allows remote attackers to derive MariaDB and MinIO credentials over the network. The passwordGen function in controllers/dspipeline_params.go reseeds Go's math/rand with time.Now().UnixNano() on every call, and RetrieveOrCreateSecret uses its predictable output for database passwords and object-storage keys. Access to the MinIO Route or MariaDB Service and operator-generated defaults is required; recovered credentials expose read and write access to pipeline artifacts and metadata.
The record
- CVE
- CVE-2026-18611
- Published
- Aug 10, 2026
- Updated
- Aug 10, 2026
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-338, T1078
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Aug 10, 2026CVE publishedPublication date reported by the CVE source.
- Aug 10, 2026Record updatedLatest update available in the CVE record.
Exploitability
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Attacks
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