Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2018-11760 | First vendor Publication | 2019-02-04 |
Vendor | Cve | Last vendor Modification | 2023-11-07 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N | |||
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Overall CVSS Score | 5.5 | ||
Base Score | 5.5 | Environmental Score | 5.5 |
impact SubScore | 3.6 | Temporal Score | 5.5 |
Exploitabality Sub Score | 1.8 | ||
Attack Vector | Local | Attack Complexity | Low |
Privileges Required | Low | User Interaction | None |
Scope | Unchanged | Confidentiality Impact | None |
Integrity Impact | High | Availability Impact | None |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : (AV:L/AC:L/Au:N/C:N/I:P/A:N) | |||
---|---|---|---|
Cvss Base Score | 2.1 | Attack Range | Local |
Cvss Impact Score | 2.9 | Attack Complexity | Low |
Cvss Expoit Score | 3.9 | Authentication | None Required |
Calculate full CVSS 2.0 Vectors scores |
Detail
When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-11760 |
CPE : Common Platform Enumeration
Sources (Detail)
Alert History
Date | Informations |
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2023-11-07 21:40:33 |
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2023-08-12 12:52:38 |
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2023-08-12 01:13:47 |
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2023-08-11 12:46:53 |
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2023-08-11 01:14:08 |
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2023-08-06 12:45:26 |
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2023-08-06 01:13:44 |
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2023-08-04 12:45:40 |
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2023-08-04 01:13:49 |
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2023-07-14 12:45:43 |
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2023-07-14 01:13:50 |
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2023-03-29 01:47:17 |
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2023-03-28 12:14:11 |
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2021-05-05 01:28:15 |
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2021-05-04 13:07:53 |
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2021-04-22 02:21:03 |
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2020-05-23 02:10:35 |
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2020-05-23 01:06:30 |
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2019-10-03 09:20:48 |
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2019-08-06 21:19:55 |
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2019-02-05 17:19:24 |
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2019-02-04 21:19:17 |
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