Executive Summary
Informations | |||
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Name | CVE-2020-28975 | First vendor Publication | 2020-11-21 |
Vendor | Cve | Last vendor Modification | 2024-04-11 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H | |||
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Overall CVSS Score | 7.5 | ||
Base Score | 7.5 | Environmental Score | 7.5 |
impact SubScore | 3.6 | Temporal Score | 7.5 |
Exploitabality Sub Score | 3.9 | ||
Attack Vector | Network | Attack Complexity | Low |
Privileges Required | None | User Interaction | None |
Scope | Unchanged | Confidentiality Impact | None |
Integrity Impact | None | Availability Impact | High |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : (AV:N/AC:L/Au:N/C:N/I:N/A:P) | |||
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Cvss Base Score | 5 | Attack Range | Network |
Cvss Impact Score | 2.9 | Attack Complexity | Low |
Cvss Expoit Score | 10 | Authentication | None Required |
Calculate full CVSS 2.0 Vectors scores |
Detail
svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-28975 |
CPE : Common Platform Enumeration
Type | Description | Count |
---|---|---|
Application | 2 |
Sources (Detail)
Alert History
Date | Informations |
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2024-04-11 09:28:25 |
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2024-03-21 09:28:27 |
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2023-11-07 21:36:17 |
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2023-01-18 00:27:49 |
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2023-01-11 12:51:15 |
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2022-11-26 00:27:34 |
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2021-05-04 13:52:38 |
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2021-04-22 03:03:28 |
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2020-12-03 21:23:25 |
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2020-12-02 00:23:02 |
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2020-12-01 05:22:52 |
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2020-11-24 05:22:52 |
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2020-11-23 17:22:51 |
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2020-11-22 05:22:53 |
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