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High8.8Red Hat Linux

High [CVE-2026-14676] PostgreSQL pg_stat_statements: Arbitrary code execution via heap buffer overflow

This high-severity Red Hat Linux advisory covers CVE-2026-14676 affecting Red Hat Enterprise Linux 10, Red Hat Enterprise Linux 9, Red Hat package: postgresql18.

CVE-2026-14676 Published Aug 13, 2026Updated by vendor Aug 13, 2026
Affected products & platforms
Red Hat LinuxRed Hat Enterprise Linux
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Summary

Heap buffer overflow in PostgreSQL pg_stat_statements allows the query author to execute arbitrary code as the operating system user running the database, via crafted queries containing array constants. Within major version 18, minor versions before PostgreSQL 18.5 are affected.

The pg_stat_statements extension must be loaded (via shared_preload_libraries) for the vulnerability to be exploitable. Red Hat severity: Important — CVSS 8.8 (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).

Weakness: CWE-787. Affected Red Hat products: Red Hat Enterprise Linux 10; Red Hat Enterprise Linux 9.

Red Hat does not currently list a fixing RHSA for this CVE.

Affected products named by the advisory: Red Hat package: postgresql18.

Affected versions
  • < 18.5

Official advisory · high-confidence parse· fetched 2 hours ago·verify at source

Fixed versions

No fixed release is recorded yet. That does not prove no patch exists — confirm against the vendor advisory.

Official advisory · high-confidence parse· fetched 2 hours ago·verify at source

Mitigation checklist

Recommended fix / mitigation
  • If upgrading to PostgreSQL 18.5 or later is not immediately possible, the pg_stat_statements extension can be disabled as a workaround. Remove 'pg_stat_statements' from the shared_preload_libraries parameter in postgresql.conf and restart the PostgreSQL service. This disables query statistics tracking but fully eliminates the attack surface for this vulnerability, as the heap buffer overflow exists exclusively within the pg_stat_statements query-normalization code path and is not reachable when the extension is not loaded. Additionally, limiting database access to trusted, vetted users reduces exposure, though it does not eliminate the risk for any authenticated user who can submit arbitrary queries.

Official advisory · high-confidence parse· fetched 2 hours ago·verify at source

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