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capitalone / global-attribution-mapping

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
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CVE-2021-41496 (High) detected in numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl - autoclosed #66

Closed mend-bolt-for-github[bot] closed 2 years ago

mend-bolt-for-github[bot] commented 2 years ago

CVE-2021-41496 - High Severity Vulnerability

Vulnerable Library - numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

NumPy is the fundamental package for array computing with Python.

Library home page: https://files.pythonhosted.org/packages/5b/0d/de55834c5ea0dd287cb1cb156c8bc120af2863c36e4d49b4dc28f174e278/numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Path to dependency file: /tmp/ws-scm/global-attribution-mapping

Path to vulnerable library: /tmp/ws-scm/global-attribution-mapping

Dependency Hierarchy: - :x: **numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl** (Vulnerable Library)

Found in base branch: master

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).

Publish Date: 2021-12-17

URL: CVE-2021-41496

CVSS 3 Score Details (7.5)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://nvd.nist.gov/vuln/detail/CVE-2021-41496

Release Date: 2021-12-17

Fix Resolution: autovizwidget - 0.12.7;numpy - 1.22.0rc1;numcodecs - 0.6.2;numpy-base - 1.11.3;numpy - 1.17.4

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mend-for-github-com[bot] commented 2 years ago

:heavy_check_mark: This issue was automatically closed by WhiteSource because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the WhiteSource inventory.