3.1

CVE-2025-8713

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.

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Daten sind bereitgestellt durch das CVE Programm von einer CVE Numbering Authority (CNA) (Unstrukturiert).
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Produkt PostgreSQL
Default Statusunaffected
Version < 17.6
Version 17
Status affected
Version < 16.10
Version 16
Status affected
Version < 15.14
Version 15
Status affected
Version < 14.19
Version 14
Status affected
Version < 13.22
Version 0
Status affected
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.04% 0.118
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
f86ef6dc-4d3a-42ad-8f28-e6d5547a5007 3.1 1.6 1.4
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N
CWE-1230 Exposure of Sensitive Information Through Metadata

The product prevents direct access to a resource containing sensitive information, but it does not sufficiently limit access to metadata that is derived from the original, sensitive information.