Path to dependency file: /redline_hackathon_model/requirements.txt
Path to vulnerable library: /teSource-ArchiveExtractor_10185ad7-6719-45f4-abc0-7cff4f731fd5/20190531052439_2943/20190531052421_depth_0/numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64/numpy
** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally).
Mend Note: After conducting further research, Mend has determined that numpy versions before 1.22.0 are vulnerable to CVE-2021-41496
:heavy_check_mark: This issue was automatically closed by Mend because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the Mend inventory.
CVE-2021-41496 - Medium Severity Vulnerability
Vulnerable Library - numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64.whl
NumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/c4/33/8ec8dcdb4ede5d453047bbdbd01916dbaccdb63e98bba60989718f5f0876/numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64.whl
Path to dependency file: /redline_hackathon_model/requirements.txt
Path to vulnerable library: /teSource-ArchiveExtractor_10185ad7-6719-45f4-abc0-7cff4f731fd5/20190531052439_2943/20190531052421_depth_0/numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64/numpy
Dependency Hierarchy: - :x: **numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64.whl** (Vulnerable Library)
Vulnerability Details
** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). Mend Note: After conducting further research, Mend has determined that numpy versions before 1.22.0 are vulnerable to CVE-2021-41496
Publish Date: 2021-12-17
URL: CVE-2021-41496
CVSS 3 Score Details (5.5)
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Local - Attack Complexity: Low - Privileges Required: Low - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
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