CVE-2021-41496 (Medium) detected in numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl

[mend-bolt-for-github]

CVE-2021-41496 - Medium Severity Vulnerability

Vulnerable Library - numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl

NumPy is the fundamental package for array computing with Python.

Library home page: https://files.pythonhosted.org/packages/3a/5f/47e578b3ae79e2624e205445ab77a1848acdaa2929a00eeef6b16eaaeb20/numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy:

• ❌ numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 20410536793f70dc9a71632e203d2327dd72a0be

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).
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

For more information on CVSS3 Scores, click here.

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