CVE-2025-8713
lowpriority · track · 0EPSS 0.002 · 14 %ileDEEURUUSEPSS · scored 2026-10-22
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.
cvss
Technical severity, 0–10. One row per scoring source.
base score 0–10 · higher = more severe · hover a vector to decode
ssvc
A stakeholder decision — act, attend, or track — from exploitation and impact.
weaknesses
The CWE weakness classes this flaw belongs to.
affected products (54)
Products and version ranges known to be affected.
advisories (4)
Vendor and ecosystem advisories describing this.
- WID-SEC-W-2025-1842PostgreSQL: Mehrere SchwachstellenDeutsch2025-08-14csaf · cert_bundDE
Ein Angreifer kann mehrere Schwachstellen in PostgreSQL ausnutzen, um Informationen offenzulegen, und um beliebigen Programmcode auszuführen.
- WID-SEC-W-2025-2140GitLab: Mehrere SchwachstellenDeutsch2025-09-25csaf · cert_bundDE
Ein Angreifer kann mehrere Schwachstellen in GitLab ausnutzen, um einen Denial of Service Angriff durchzuführen, um Informationen offenzulegen, um seine Privilegien zu erhöhen, und um Sicherheitsvorkehrungen zu umgehen.
- WID-SEC-W-2026-0351Dell NetWorker (Third Party Components): Mehrere SchwachstellenDeutsch2026-02-09csaf · cert_bundDE
Ein Angreifer kann mehrere Schwachstellen in Dell NetWorker ausnutzen, um Angriffe zu starten, die die Integrität, Vertraulichkeit und Verfügbarkeit von Systemen beeinträchtigen.
- BIT-postgresql-2025-8713PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table2025-08-18vendor · osvUS
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.
also known as (4)
Other names and identifiers for this entity.
sources
Which sources assert this record, and when.
references (5)
External citations — patches, advisories, analysis.
- https://nvd.nist.gov/vuln/detail/CVE-2025-8713cnnvd
- https://vigilance.fr/vulnerability/PostgreSQL-information-disclosure-via-Optimizer-Statistics-47996cnnvd
- https://www.postgresql.org/support/security/CVE-2025-8713/cnnvd
- https://www.postgresql.org/support/security/CVE-2025-8713/enisa_euvd
- https://www.postgresql.org/support/security/CVE-2025-8713/nvd
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