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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.

PUBLISHED Reserved 2025-08-07 | Published 2025-08-14 | Updated 2025-08-14 | Assigner PostgreSQL




LOW: 3.1CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

Problem types

Exposure of Sensitive Information Through Metadata

Credits

The PostgreSQL project thanks Dean Rasheed for reporting this problem.

References

www.postgresql.org/support/security/CVE-2025-8713/

cve.org (CVE-2025-8713)

nvd.nist.gov (CVE-2025-8713)

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