Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2019-6446 | First vendor Publication | 2019-01-16 |
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: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) | |||
---|---|---|---|
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
An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-6446 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-502 | Deserialization of Untrusted Data |
CPE : Common Platform Enumeration
Type | Description | Count |
---|---|---|
Application | 2 | |
Os | 1 |
Sources (Detail)
Alert History
Date | Informations |
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2024-04-11 09:28:34 |
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2024-03-21 09:28:36 |
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2023-11-07 21:40:36 |
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2021-05-04 13:40:27 |
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2021-04-22 02:52:07 |
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2020-05-23 02:32:16 |
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2019-10-06 21:20:43 |
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2019-10-01 09:19:18 |
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2019-06-13 12:10:17 |
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2019-05-11 00:19:04 |
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2019-04-28 09:19:13 |
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2019-02-26 17:19:48 |
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2019-02-26 00:19:39 |
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2019-01-23 17:19:26 |
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2019-01-22 21:19:15 |
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2019-01-16 21:19:32 |
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2019-01-16 09:19:06 |
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