** 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).
CVE-2021-41496 - Medium Severity Vulnerability
Fundamental package for array computing in 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,/backend/requirements.txt
Dependency Hierarchy: - streamlit-0.55.2-py2.py3-none-any.whl (Root Library) - :x: **numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl** (Vulnerable Library)
Found in base branch: main
** 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
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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