CVE-2026-18611 Red Hat CVE debrief

Who should care

Organizations using the Data Science Pipelines Operator, administrators and users of the affected system, security teams responsible for monitoring and protecting pipeline artifacts and metadata.

Technical summary

The Data Science Pipelines Operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys. This flaw allows an unauthenticated attacker to derive these credentials if they can access the MinIO Route or MariaDB Service, potentially leading to unauthorized access to pipeline artifacts and metadata.

Defensive priority

Organizations using the Data Science Pipelines Operator should prioritize verifying their inventory, checking for exposure to the MinIO Route or MariaDB Service, and implementing compensating controls to limit access.

Recommended defensive actions

• Verify inventory of Data Science Pipelines Operator instances
• Check exposure to MinIO Route or MariaDB Service
• Implement compensating controls to limit access
• Monitor for suspicious activity related to pipeline artifacts and metadata
• Review and update credential generation and management practices

Evidence notes

The CVE-2026-18611 vulnerability allows an unauthenticated attacker to derive sensitive credentials if they can access the MinIO Route or MariaDB Service. The flaw is due to the operator's use of a cryptographically weak pseudo-random number generator (PRNG) for generating credentials. Evidence is based on official CVE and NVD records, as well as references from Red Hat.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.