Type confusion in PostgreSQL module "refint" allows an object creator to execute arbitrary code as the operating system user running the database. The fix for this emerged as a non-security bug report, and the fix appear in the git repository with subject "refint: Remove plan cache.", without a CVE number. Versions before PostgreSQL 18.5, 17.11, 16.15, 15.19, and 14.24 are affected.
Casky was already ahead
This CVE exploits attack patterns that Casky's 0matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.
CVE-2026-14671 is a type confusion vulnerability in PostgreSQL's "refint" module that allows object creators to execute arbitrary code with the privileges of the database operating system user. This is a critical supply chain risk affecting PostgreSQL versions before 18.5, 17.11, 16.15, 15.19, and 14.24. The vulnerability is particularly dangerous because it was initially reported as a non-security bug, meaning organizations may have deployed patches without understanding the security implications. Any PostgreSQL instance using the refint module with untrusted users who can create objects faces immediate risk of complete system compromise, as attackers gain OS-level code execution.
While this CVE maps to CWE-843 (Type Confusion), it does not currently align with specific MITRE ATT&CK techniques in standard frameworks—a gap that highlights the importance of behavioral detection. Casky's platform, powered by Claude AI with extended reasoning across 754 security skills, would detect the attack patterns underlying this vulnerability by identifying: (1) unusual object creation patterns within PostgreSQL refint contexts, (2) process spawning or system command execution originating from the database process, (3) privilege escalation from database user to OS user context, and (4) unexpected code execution paths in database modules. A practitioner using Casky would see findings flagging suspicious database object manipulation followed by OS-level activity, enabling detection of exploitation attempts even when the CVE identifier alone provides limited tactical guidance. This demonstrates how AI-driven security analysis bridges the gap between vulnerability announcements and real-world attack detection.
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