CVE-2025-8713
PostgreSQL View and Row Security Statistics Information Disclosure
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.
INFO
Published Date :
Aug. 14, 2025, 1:15 p.m.
Last Modified :
Aug. 15, 2025, 1:13 p.m.
Remotely Exploit :
Yes !
Source :
f86ef6dc-4d3a-42ad-8f28-e6d5547a5007
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | LOW | f86ef6dc-4d3a-42ad-8f28-e6d5547a5007 |
Solution
- Upgrade to PostgreSQL 17.6, 16.10, 15.14, 14.19, or 13.22 or later.
- Update the affected packages.
Public PoC/Exploit Available at Github
CVE-2025-8713 has a 1 public
PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-8713.
| URL | Resource |
|---|---|
| https://www.postgresql.org/support/security/CVE-2025-8713/ |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-8713 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-8713
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
DSA and DLA for Debian last 14 days
Python
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-8713 vulnerability anywhere in the article.
-
CybersecurityNews
Critical PostgreSQL Vulnerabilities Allow Arbitrary Code Injection During Restoration
The PostgreSQL Global Development Group has issued emergency security updates across all supported versions to address three critical vulnerabilities that could allow attackers to execute arbitrary co ... Read more
-
Daily CyberSecurity
PostgreSQL Issues Urgent Security Fixes for High-Severity RCE Flaws in Core Utilities
The PostgreSQL Global Development Group has announced a major security update affecting all supported versions of the world’s most advanced open-source relational database. The update applies to Postg ... Read more
The following table lists the changes that have been made to the
CVE-2025-8713 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
New CVE Received by f86ef6dc-4d3a-42ad-8f28-e6d5547a5007
Aug. 14, 2025
Action Type Old Value New Value Added 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. Added CVSS V3.1 AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N Added CWE CWE-1230 Added Reference https://www.postgresql.org/support/security/CVE-2025-8713/