Executive Summary
Informations | |||
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Name | CVE-2018-17190 | First vendor Publication | 2018-11-19 |
Vendor | Cve | Last vendor Modification | 2024-11-21 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H | |||
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Overall CVSS Score | 9.8 | ||
Base Score | 9.8 | Environmental Score | 9.8 |
impact SubScore | 5.9 | Temporal Score | 9.8 |
Exploitabality Sub Score | 3.9 | ||
Attack Vector | Network | Attack Complexity | Low |
Privileges Required | None | User Interaction | None |
Scope | Unchanged | Confidentiality Impact | High |
Integrity Impact | High | Availability Impact | High |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : (AV:N/AC:L/Au:N/C:P/I:P/A:P) | |||
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Cvss Base Score | 7.5 | Attack Range | Network |
Cvss Impact Score | 6.4 | Attack Complexity | Low |
Cvss Expoit Score | 10 | Authentication | None Required |
Calculate full CVSS 2.0 Vectors scores |
Detail
In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too. Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of code on the master is nevertheless unexpected. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-17190 |
CPE : Common Platform Enumeration
Type | Description | Count |
---|---|---|
Application | 1 |
Sources (Detail)
Alert History
Date | Informations |
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2024-11-28 13:16:01 |
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2023-11-07 21:41:06 |
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2021-05-04 13:13:03 |
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2021-04-22 02:27:29 |
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2020-09-03 01:22:15 |
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2020-07-15 09:22:53 |
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2020-05-23 01:09:41 |
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2019-10-03 09:20:59 |
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2019-04-03 17:19:07 |
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2019-03-28 13:19:03 |
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2018-12-17 21:19:40 |
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2018-11-23 17:19:58 |
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2018-11-19 17:19:11 |
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