Missing authorization in PostgreSQL built-in views pg_stats_ext and pg_stats_ext_exprs allows an unprivileged database user to read most common values and other statistics from CREATE STATISTICS commands of other users. The most common values may reveal column values the eavesdropper could not otherwise read or results of functions they cannot execute. Installing an unaffected version only fixes fresh PostgreSQL installations, namely those that are created with the initdb utility after installing that version. Current PostgreSQL installations will remain vulnerable until they follow the instructions in the release notes. Within major versions 14-16, minor versions before PostgreSQL 16.3, 15.7, and 14.12 are affected. Versions before PostgreSQL 14 are unaffected.
This vulnerability carries a LOW severity rating with a CVSS v3.1 score of 3.1, indicating it can be exploited remotely over the network but requires specific conditions to be met without requiring user interaction requiring only low-level privileges . The vulnerability impacts limited data confidentiality, for affected systems. Impacting 1 product from postgresql organizations running these solutions should prioritize assessment and patching.
Reported in 2024, 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.
2024-05-14T15:43:16.473
2025-03-28T15:15:45.250
Modified
f86ef6dc-4d3a-42ad-8f28-e6d5547a5007
CVSSv3.1: 3.1 (LOW)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | postgresql | postgresql | < 14.12 | Yes |
| Application | postgresql | postgresql | < 15.7 | Yes |
| Application | postgresql | postgresql | < 16.3 | 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.