CVE-2021-33430 (Medium) detected in numpy-1.16.1-cp35-cp35m-manylinux1_x86_64.whl

[mend-bolt-for-github]

CVE-2021-33430 - Medium Severity Vulnerability

Vulnerable Library - numpy-1.16.1-cp35-cp35m-manylinux1_x86_64.whl

NumPy is the fundamental package for array computing with Python.

Library home page: https://files.pythonhosted.org/packages/ad/15/690c13ae714e156491392cdbdbf41b485d23c285aa698239a67f7cfc9e0a/numpy-1.16.1-cp35-cp35m-manylinux1_x86_64.whl

Dependency Hierarchy:

• ❌ numpy-1.16.1-cp35-cp35m-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: d18505a648a05289a7aac926f14f8b2cf6b2c4e9

Found in base branch: master

Vulnerability Details

** DISPUTED ** A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user.
Mend Note: After conducting further research, Mend has determined that numpy versions before 1.21.0 are vulnerable to CVE-2021-33430

Publish Date: 2021-12-17

URL: CVE-2021-33430

CVSS 3 Score Details (5.3)

Base Score Metrics:

• Exploitability Metrics:
  • Attack Vector: Network
  • Attack Complexity: High
  • 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.

Suggested Fix

Type: Upgrade version

Origin: https://nvd.nist.gov/vuln/detail/CVE-2021-33430

Release Date: 2021-12-17

Fix Resolution: 1.21.0

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