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CVE-2025-8713

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Date: August 14, 2025

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.

Severity Score

Severity Score

Weakness Type (CWE)

Exposure of Sensitive Information Through Metadata

CWE-1230

Top Fix

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Upgrade Version

Upgrade to version https://github.com/postgres/postgres.git - REL_13_22;https://github.com/postgres/postgres.git - REL_14_19;https://github.com/postgres/postgres.git - REL_15_14;https://github.com/postgres/postgres.git - REL_16_10;https://github.com/postgres/postgres.git - REL_17_6

Learn More

CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): HIGH
Privileges Required (PR): LOW
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality (C): LOW
Integrity (I): NONE
Availability (A): NONE

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