Time-of-check Time-of-use (TOCTOU) race condition in pg_dump in PostgreSQL allows an object creator to execute arbitrary SQL functions as the user running pg_dump, which is often a superuser. The attack involves replacing another relation type with a view or foreign table. The attack requires waiting for pg_dump to start, but winning the race condition is trivial if the attacker retains an open transaction. Versions before PostgreSQL 16.4, 15.8, 14.13, 13.16, and 12.20 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 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.
2024-08-08T13:15:14.007
2024-11-21T09:51:20.720
Modified
f86ef6dc-4d3a-42ad-8f28-e6d5547a5007
CVSSv3.1: 8.8 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | postgresql | postgresql | < 12.20 | Yes |
| Application | postgresql | postgresql | < 13.16 | Yes |
| Application | postgresql | postgresql | < 14.13 | Yes |
| Application | postgresql | postgresql | < 15.8 | Yes |
| Application | postgresql | postgresql | < 16.4 | 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.