Integer wraparound in PostgreSQL tsvector and tsquery data type functions allows an unprivileged database user to cause the server to undersize an allocation and write out-of-bounds, via crafted large inputs. This may execute arbitrary code as the operating system user running the database. These types are typically sourced from application logic, not taken from the application's user. Hence, application users attacking the database, through the application as a conduit, are unlikely. CVE-2026-6473 had fixed similar problems. Versions before PostgreSQL 18.5, 17.11, 16.15, 15.19, and 14.24 are affected.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.8, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from postgresql organizations running these solutions should prioritize assessment and patching.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-08-13T13:17:43.553
2026-08-19T14:54:41.933
Analyzed
f86ef6dc-4d3a-42ad-8f28-e6d5547a5007
CVSSv3.1: 8.8 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | postgresql | postgresql | < 14.24 | Yes |
| Application | postgresql | postgresql | < 15.19 | Yes |
| Application | postgresql | postgresql | < 16.15 | Yes |
| Application | postgresql | postgresql | < 17.11 | Yes |
| Application | postgresql | postgresql | < 18.5 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For postgresql's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.