Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2019-10130 | First vendor Publication | 2019-07-30 |
Vendor | Cve | Last vendor Modification | 2020-09-30 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N | |||
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Overall CVSS Score | 4.3 | ||
Base Score | 4.3 | Environmental Score | 4.3 |
impact SubScore | 1.4 | Temporal Score | 4.3 |
Exploitabality Sub Score | 2.8 | ||
Attack Vector | Network | Attack Complexity | Low |
Privileges Required | Low | User Interaction | None |
Scope | Unchanged | Confidentiality Impact | Low |
Integrity Impact | None | Availability Impact | None |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : (AV:N/AC:L/Au:S/C:P/I:N/A:N) | |||
---|---|---|---|
Cvss Base Score | 4 | Attack Range | Network |
Cvss Impact Score | 2.9 | Attack Complexity | Low |
Cvss Expoit Score | 8 | Authentication | Requires single instance |
Calculate full CVSS 2.0 Vectors scores |
Detail
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. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-10130 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-284 | Access Control (Authorization) Issues |
CPE : Common Platform Enumeration
Sources (Detail)
Alert History
Date | Informations |
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2021-05-04 13:22:28 |
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2021-04-22 02:37:37 |
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2020-09-30 21:22:58 |
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2020-09-03 01:24:41 |
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2020-05-23 02:20:56 |
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2019-10-10 05:20:52 |
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2019-08-06 21:20:00 |
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2019-07-31 00:19:18 |
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2019-07-30 21:19:16 |
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