CVE-2021-41496 (High) detected in numpy-1.21.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

[mend-for-github.aaakk.us.kg]

CVE-2021-41496 - High Severity Vulnerability

Vulnerable Library - numpy-1.21.0-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/3f/03/c3526fb4e79a793498829ca570f2f868204ad9a8040afcd72d82a8f121db/numpy-1.21.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Path to dependency file: /benchmarks/perf-tool/requirements.txt

Path to vulnerable library: /benchmarks/perf-tool/requirements.txt

Dependency Hierarchy:

• ❌ numpy-1.21.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 2fb2ad116bc11bde3eab5695aed65392943c08ae

Found in base branch: main

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

[jmazanec15]

Im not sure I understand this. The vulnerability explicitly says: "function of fortranobject.c in NumPy < 1.19," and we use 1.21.1.