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** 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
An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."
Mend Note: After conducting further research, Mend has determined that versions 1.12.0 through 1.21.6 of numpy are vulnerable to CVE-2021-34141
A buffer overflow condition exists when a program attempts to put more data in a buffer than it can hold or when a program attempts to put data in a memory area past a buffer.
Micro-Learning Topic: Denial of service (Detected by phrase)
Matched on "Denial of Service"
The Denial of Service (DoS) attack is focused on making a resource (site, application, server) unavailable for the purpose it was designed. There are many ways to make a service unavailable for legitimate users by manipulating network packets, programming, logical, or resources handling vulnerabilities, among others. Source: https://www.owasp.org/index.php/Denial_of_Service
Use of vulnerable components will introduce weaknesses into the application. Components with published vulnerabilities will allow easy exploitation as resources will often be available to automate the process.
Thanks for issue, @mend-bolt-for-github[bot]! @AdamOswald, thank you for closing this issue, I have less work. I will look forward to our next meeting😜
NumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/a5/42/560d269f604d3e186a57c21a363e77e199358d054884e61b73e405dd217c/numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Path to dependency file: /module/generator-main/requirements.txt
Path to vulnerable library: /module/generator-main/requirements.txt,/tmp/ws-scm/face,/module/generator-main/requirements.txt
Found in HEAD commit: 1def381581db59d139b24ef0a32eed6f8e3b2af8
Vulnerabilities
Details
Vulnerable Library - numpy-1.20.3-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/a5/42/560d269f604d3e186a57c21a363e77e199358d054884e61b73e405dd217c/numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Path to dependency file: /module/generator-main/requirements.txt
Path to vulnerable library: /module/generator-main/requirements.txt,/tmp/ws-scm/face,/module/generator-main/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 1def381581db59d139b24ef0a32eed6f8e3b2af8
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:
Suggested Fix
Type: Upgrade version
Origin: https://nvd.nist.gov/vuln/detail/CVE-2021-33430
Release Date: 2021-12-17
Fix Resolution: numpy - 1.21.0
Step up your Open Source Security Game with Mend here
Vulnerable Library - numpy-1.20.3-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/a5/42/560d269f604d3e186a57c21a363e77e199358d054884e61b73e405dd217c/numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Path to dependency file: /module/generator-main/requirements.txt
Path to vulnerable library: /module/generator-main/requirements.txt,/tmp/ws-scm/face,/module/generator-main/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 1def381581db59d139b24ef0a32eed6f8e3b2af8
Found in base branch: master
Vulnerability Details
An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."
Mend Note: After conducting further research, Mend has determined that versions 1.12.0 through 1.21.6 of numpy are vulnerable to CVE-2021-34141
Publish Date: 2021-12-17
URL: CVE-2021-34141
CVSS 3 Score Details (5.3)
Base Score Metrics:
Suggested Fix
Type: Upgrade version
Origin: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-34141
Release Date: 2021-12-17
Fix Resolution: numpy - 1.22.0
Step up your Open Source Security Game with Mend here
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