CVE-2026-18617 Red Hat CVE debrief

Who should care

Administrators and users of the Data Science Pipelines Operator (DSPO) should be aware of this vulnerability. Namespace editors and cluster administrators are at risk and should verify and restrict access to DSPO configurations, monitor for suspicious activity, and implement compensating controls to detect and prevent abuse.

Technical summary

The Data Science Pipelines Operator (DSPO) is vulnerable to a parameter injection attack through the spec.database.customExtraParams field. This allows namespace editors to manipulate the MySQL Data Source Name (DSN) string, potentially enabling LOCAL INFILE functionality. Successful exploitation could lead to the exfiltration of sensitive files, such as service account tokens, and privilege escalation to cluster-admin privileges.

Defensive priority

Namespace editors should verify and restrict access to the Data Science Pipelines Operator (DSPO) configuration, especially the spec.database.customExtraParams field, to prevent potential parameter injection attacks.

Recommended defensive actions

• Verify and restrict access to DSPO configuration, especially the spec.database.customExtraParams field.
• Monitor for suspicious activity related to MySQL Data Source Name (DSN) string manipulation.
• Implement compensating controls to detect and prevent LOCAL INFILE functionality abuse.
• Review and update service account permissions to minimize potential impact.
• Conduct regular inventory checks for affected systems and apply vendor remediation.

Evidence notes

The CVE-2026-18617 record indicates a flaw in the Data Science Pipelines Operator (DSPO) that allows namespace editors to inject dangerous parameters into the MySQL Data Source Name (DSN) string via the spec.database.customExtraParams field. This can enable LOCAL INFILE functionality, potentially leading to the exfiltration of sensitive files like service account tokens and privilege escalation to cluster-admin privileges. Evidence is based on official CVE and NVD records, as well as references from Red Hat's security advisories.

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.