CVE-2019-10130

mediumpriority · track · 17EPSS 0.011 · 65 %ileDEEURUUS
grimoire priorityP3 · Track
Exploitable?
—
no known exploitation
Likely / severe?
1.08% (65th) EPSS
CVSS 4 · medium
Is it mine?
38 products
Check your exposure
Who says so?
4 sources
cnnvd · enisa_euvd · fstec_bdu · cert_bund

EPSS · scored 2026-10-27

A vulnerability was found in PostgreSQL versions 11.x up to excluding 11.3, 10.x up to excluding 10.8, 9.6.x up to, excluding 9.6.13, 9.5.x up to, excluding 9.5.17. PostgreSQL maintains column statistics for tables. Certain statistics, such as histograms and lists of most common values, contain values taken from the column. PostgreSQL does not evaluate row security policies before consulting those statistics during query planning; an attacker can exploit this to read the most common values of certain columns. Affected columns are those for which the attacker has SELECT privilege and for which, in an ordinary query, row-level security prunes the set of rows visible to the attacker.

01

cvss

Technical severity, 0–10. One row per scoring source.

4.3
010

base score 0–10 · higher = more severe · hover a vector to decode⚠ sources disagree · low–medium · 3.1–4.3

v2.04mediumAV:N/AC:L/Au:S/C:P/I:N/A:Nprimary · NVD / NIST USexploitability 8 · impact 2.9
v3.14.3mediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:Nprimary · NVD / NIST USexploitability 2.8 · impact 1.4
v3.03.1lowCVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:Nsecondary · ENISA EU
v3.03.1lowCVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:Nsecondary · secalert@redhat.com USexploitability 1.6 · impact 1.4
v3.14.3mediumAV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:Nsecondary · FSTEC (BDU) RU
v3.14mediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N/E:Usecondary · CVSS-BT (t0sche)
02

weaknesses

The CWE weakness classes this flaw belongs to.

03

affected products (38)

Products and version ranges known to be affected.

showing 20 of 38
04

advisories (1)

Vendor and ecosystem advisories describing this.

  • WID-SEC-W-2025-1970PostgreSQL: Mehrere SchwachstellenDeutsch2019-05-09csaf · cert_bundDE

    Ein entfernter, authentisierter Angreifer kann mehrere Schwachstellen in PostgreSQL ausnutzen, um beliebigen Programmcode mit den Rechten des Dienstes auszuführen, vertrauliche Daten einzusehen oder Sicherheitsmechanismen zu umgehen.

05

also known as (4)

Other names and identifiers for this entity.

06

sources

Which sources assert this record, and when.

published 2019-07-30modified 2026-06-17
08

references (41)

External citations — patches, advisories, analysis.

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