5.4

CVE-2024-10976

Incomplete tracking in PostgreSQL of tables with row security allows a reused query to view or change different rows from those intended.  CVE-2023-2455 and CVE-2016-2193 fixed most interaction between row security and user ID changes.  They missed cases where a subquery, WITH query, security invoker view, or SQL-language function references a table with a row-level security policy.  This has the same consequences as the two earlier CVEs.  That is to say, it leads to potentially incorrect policies being applied in cases where role-specific policies are used and a given query is planned under one role and then executed under other roles.  This scenario can happen under security definer functions or when a common user and query is planned initially and then re-used across multiple SET ROLEs.  Applying an incorrect policy may permit a user to complete otherwise-forbidden reads and modifications.  This affects only databases that have used CREATE POLICY to define a row security policy.  An attacker must tailor an attack to a particular application's pattern of query plan reuse, user ID changes, and role-specific row security policies.  Versions before PostgreSQL 17.1, 16.5, 15.9, 14.14, 13.17, and 12.21 are affected.

Data is provided by the National Vulnerability Database (NVD)
PostgresqlPostgresql Version >= 12.0 < 12.21
PostgresqlPostgresql Version >= 13.0 < 13.17
PostgresqlPostgresql Version >= 14.0 < 14.14
PostgresqlPostgresql Version >= 15.0 < 15.9
PostgresqlPostgresql Version >= 16.0 < 16.5
PostgresqlPostgresql Version >= 17.0 < 17.1
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 0.13% 0.337
CVSS Metriken
Source Base Score Exploit Score Impact Score Vector string
nvd@nist.gov 5.4 2.8 2.5
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
f86ef6dc-4d3a-42ad-8f28-e6d5547a5007 4.2 1.6 2.5
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:N
CWE-1250 Improper Preservation of Consistency Between Independent Representations of Shared State

The product has or supports multiple distributed components or sub-systems that are each required to keep their own local copy of shared data - such as state or cache - but the product does not ensure that all local copies remain consistent with each other.