PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table
Vulnerability Description
PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide. PostgreSQL maintains statistics for tables by sampling data available in columns; this data is consulted during the query planning process. Prior to this release, a user could craft a leaky operator that bypassed view access control lists (ACLs) and bypassed row security policies in partitioning or table inheritance hierarchies. Reachable statistics data notably included histograms and most-common-values lists. CVE-2017-7484 and CVE-2019-10130 intended to close this class of vulnerability, but this gap remained. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected.
Impact Analysis
Refer to official advisory for detailed impact metrics.
Remediation
Ensure systems are updated to the latest vendor-supplied patch levels.
Am I Vulnerable?
Launch our assessment wizard to check if your infrastructure is exposed to • CVE-2025-8713
Credits & Attribution
The following person or organization is credited with identifying this vulnerability, as recorded in the NVD database:
- The PostgreSQL project thanks Dean Rasheed for reporting this problem.
More from n/a
View All →Affected Vendor
Affected Software
Timeline
CVSS Vectors
Weaknesses (CWE)
MITRE ATT&CK TTPs
No associated TTPs found for this vulnerability.