Executive Summary
Summary | |
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Title | numpy security update |
Informations | |||
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Name | RHSA-2019:3704 | First vendor Publication | 2019-11-05 |
Vendor | RedHat | Last vendor Modification | 2019-11-05 |
Severity (Vendor) | N/A | Revision | 01 |
Security-Database Scoring CVSS v3
Cvss vector : N/A | |||
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Overall CVSS Score | NA | ||
Base Score | NA | Environmental Score | NA |
impact SubScore | NA | Temporal Score | NA |
Exploitabality Sub Score | NA | ||
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
Problem Description: An update for numpy is now available for Red Hat Enterprise Linux 8. Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section. 2. Relevant releases/architectures: Red Hat Enterprise Linux AppStream (v. 8) - aarch64, ppc64le, s390x, x86_64 3. Description: The numpy packages provide NumPY. NumPY is an extension to the Python programming language, which adds support for large, multi-dimensional arrays and matrices, and a library of mathematical functions that operate on such arrays. Security Fix(es): * numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution (CVE-2019-6446) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section. Additional Changes: For detailed information on changes in this release, see the Red Hat Enterprise Linux 8.1 Release Notes linked from the References section. 4. Solution: For details on how to apply this update, which includes the changes described in this advisory, refer to: https://access.redhat.com/articles/11258 5. Bugs fixed (https://bugzilla.redhat.com/): 1667950 - CVE-2019-6446 numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution 1687873 - numpy.test() fails |
Original Source
Url : https://rhn.redhat.com/errata/RHSA-2019-3704.html |
CWE : Common Weakness Enumeration
% | Id | Name |
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100 % | CWE-502 | Deserialization of Untrusted Data |
CPE : Common Platform Enumeration
Type | Description | Count |
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Application | 2 | |
Os | 1 |
Alert History
Date | Informations |
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2020-03-19 13:19:33 |
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