CVE-2026-18024 PostgreSQL CVE debrief

Who should care

PostgreSQL users and administrators, security teams responsible for database systems, and developers using PostgreSQL in their applications should be aware of this vulnerability. They should assess their installations for version compliance and apply vendor patches or upgrades to affected versions. Additionally, they should monitor for potential exploitation attempts and implement compensating controls such as web application firewalls if necessary.

Technical summary

The CVE-2026-18024 vulnerability involves a buffer over-read in the PostgreSQL ascii() SQL function. This allows a user to disclose up to 3 bytes after the end of a specific allocation by providing a crafted text value. The vulnerability has a CVSS score of 4.3 and is classified as Medium severity. It affects PostgreSQL versions before 18.6, 17.11, 16.15, 15.19, and 14.24. Users should assess their installations and apply patches or upgrades to affected versions.

Defensive priority

Medium priority given the CVSS score of 4.3 and the potential for data disclosure.

Recommended defensive actions

• Inventory and assess PostgreSQL installations for version compliance.
• Apply vendor patches or upgrades to affected versions.
• Monitor for potential exploitation attempts.
• Implement compensating controls such as web application firewalls.
• Review compensating controls for exposed systems while remediation is scheduled and verified.
• Check relevant monitoring, detection, and logs for exposed assets that need extra review.
• Track exceptions, retest remediated assets, and close the item only after evidence is documented.

Evidence notes

The CVE-2026-18024 record indicates a buffer over-read in the PostgreSQL ascii() SQL function, allowing disclosure of up to 3 bytes after a specific allocation. This issue is similar to CVE-2026-2006 but with less impact. Affected versions include PostgreSQL before 18.6, 17.11, 16.15, 15.19, and 14.24. To verify, defenders should review PostgreSQL installations, assess version compliance, and monitor for potential exploitation attempts.

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.