3.1

CVE-2025-8713

PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table

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.
Daten sind bereitgestellt durch das CVE Programm von einer CVE Numbering Authority (CNA) (Unstrukturiert).
Herstellern/a
Produkt PostgreSQL
Default Statusunaffected
Version 17
Version < 17.6
Status affected
Version 16
Version < 16.10
Status affected
Version 15
Version < 15.14
Status affected
Version 14
Version < 14.19
Status affected
Version 0
Version < 13.22
Status affected
VulnDex Vulnerability Enrichment
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Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.05% 0.151
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.