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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
Vulnerable Library - numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl
NumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/a8/31/e2c3eda7afe7dab08e1f24767b8e38ff2f30dc82bd74aa3a5324c550366a/numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /python/spec/fixtures/projects/unresolvable/requirements.txt
Path to vulnerable library: /python/spec/fixtures/projects/unresolvable/requirements.txt
Vulnerabilities
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
CVE-2021-33430
Vulnerable Library - numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl
NumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/a8/31/e2c3eda7afe7dab08e1f24767b8e38ff2f30dc82bd74aa3a5324c550366a/numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /python/spec/fixtures/projects/unresolvable/requirements.txt
Path to vulnerable library: /python/spec/fixtures/projects/unresolvable/requirements.txt
Dependency Hierarchy:
Found in base branch: main
Vulnerability Details
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
In order to enable automatic remediation, please create workflow rules
In order to enable automatic remediation for this issue, please create workflow rules
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