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CVE-2025-8713

Published: August 15, 2025Last modified: August 18, 2025

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.

Severity score breakdown

ParameterValue
Base score3.1
Attack VectorNETWORK
Attack complexityHIGH
Privileges requiredLOW
User interactionNONE
ScopeUNCHANGED
ConfidentialityLOW
Integrity impactNONE
Availability impactNONE
VectorCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

Status

ProductReleasePackageStatus
Alpaquita Linux23 LTSpostgresql15Vulnerable (15.2-r0)
25 LTSpostgresql17Vulnerable (17.5-r0)
Streampostgresql17Vulnerable (17.0-r1)

References

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