Path to dependency file: /redline_hackathon_model/requirements.txt
Path to vulnerable library: /teSource-ArchiveExtractor_10185ad7-6719-45f4-abc0-7cff4f731fd5/20190531052439_2943/20190531052421_depth_0/numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64/numpy
** 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
CVE-2021-33430 - Medium Severity Vulnerability
NumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/c4/33/8ec8dcdb4ede5d453047bbdbd01916dbaccdb63e98bba60989718f5f0876/numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64.whl
Path to dependency file: /redline_hackathon_model/requirements.txt
Path to vulnerable library: /teSource-ArchiveExtractor_10185ad7-6719-45f4-abc0-7cff4f731fd5/20190531052439_2943/20190531052421_depth_0/numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64/numpy
Dependency Hierarchy: - :x: **numpy-1.16.2-cp27-cp27mu-manylinux1_x86_64.whl** (Vulnerable Library)
** 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
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.Type: Upgrade version
Origin: https://nvd.nist.gov/vuln/detail/CVE-2021-33430
Release Date: 2021-12-17
Fix Resolution: numpy - 1.21.0
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