mend-bolt-for-github[bot]
commented
1 year ago :heavy_check_mark: This issue was automatically closed by Mend because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the Mend inventory.
NumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/08/d6/a6aaa29fea945bc6c61d11f6e0697b325ff7446de5ffd62c2fa02f627048/numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt,/requirements.txt
Found in HEAD commit: 6d5ea76df60e4cb59093a636397a901dcf4fceaa
Vulnerabilities
Details
CVE-2021-33430
### Vulnerable Library - numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whlNumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/08/d6/a6aaa29fea945bc6c61d11f6e0697b325ff7446de5ffd62c2fa02f627048/numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt,/requirements.txt
Dependency Hierarchy: - :x: **numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: 6d5ea76df60e4cb59093a636397a901dcf4fceaa
Found in base branch: main
### 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: - 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. ### Suggested FixType: 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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CVE-2021-34141
### Vulnerable Library - numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whlNumPy is the fundamental package for array computing with Python.
Library home page: https://files.pythonhosted.org/packages/08/d6/a6aaa29fea945bc6c61d11f6e0697b325ff7446de5ffd62c2fa02f627048/numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt,/requirements.txt
Dependency Hierarchy: - :x: **numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: 6d5ea76df60e4cb59093a636397a901dcf4fceaa
Found in base branch: main
### Vulnerability DetailsAn 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: - 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: Low
For more information on CVSS3 Scores, click here. ### Suggested FixType: 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
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