What is the CVSS score of CVE-2025-8713?

CVE-2025-8713 has a CVSS 3.1 base score of 3.1 (Low). CVSS vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N. EPSS exploitation probability: 0.0%.

Which versions of PostgreSQL are affected by CVE-2025-8713?

CVE-2025-8713 is a low-severity vulnerability (CVSS 3.1). The limited severity suggests constrained impact, typically requiring specific conditions or local access for exploitation.

How to fix or mitigate CVE-2025-8713?

During next maintenance window: Apply vendor patches when convenient. Monitor vendor channels for updates.

PostgreSQL CVE-2025-8713

LOW

Exposure of Sensitive Information Through Metadata (CWE-1230)

2025-08-14 f86ef6dc-4d3a-42ad-8f28-e6d5547a5007

Information Disclosure PostgreSQL

3.1

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

3.1 LOW

AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

Attack Vector

Network

Attack Complexity

High

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

Low

Integrity

None

Availability

None

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 19:06 vuln.today

CVE Published

Aug 14, 2025 - 13:15 nvd

LOW 3.1

DescriptionCVE.org

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.

AnalysisAI

PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Rated low severity (CVSS 3.1), this vulnerability is remotely exploitable. No vendor patch available.

Technical ContextAI

This vulnerability is classified under CWE-1230. 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.

Affected ProductsAI

See vendor advisory for affected versions.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.