Path to dependency file: /tensorflow/lite/tools/pip_package
Path to vulnerable library: /tensorflow/lite/tools/pip_package,/tensorflow/python/tpu/client/pip_package,/tensorflow/python/tpu/profiler/pip_package,/tensorflow/lite/micro/examples/magic_wand/train/requirements.txt
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
: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.
CVE-2021-33430 - Medium Severity Vulnerability
Vulnerable Libraries - numpy-1.18.5-cp37-cp37m-manylinux1_x86_64.whl, numpy-1.16.2-cp37-cp37m-manylinux1_x86_64.whl
numpy-1.18.5-cp37-cp37m-manylinux1_x86_64.whl
Fundamental package for array computing in Python
Library home page: https://files.pythonhosted.org/packages/d6/c6/58e517e8b1fb192725cfa23c01c2e60e4e6699314ee9684a1c5f5c9b27e1/numpy-1.18.5-cp37-cp37m-manylinux1_x86_64.whl
Path to dependency file: /tensorflow/tools/pip_package
Path to vulnerable library: /tensorflow/tools/pip_package
Dependency Hierarchy: - :x: **numpy-1.18.5-cp37-cp37m-manylinux1_x86_64.whl** (Vulnerable Library)
numpy-1.16.2-cp37-cp37m-manylinux1_x86_64.whl
Fundamental package for array computing in Python
Library home page: https://files.pythonhosted.org/packages/91/e7/6c780e612d245cca62bc3ba8e263038f7c144a96a54f877f3714a0e8427e/numpy-1.16.2-cp37-cp37m-manylinux1_x86_64.whl
Path to dependency file: /tensorflow/lite/tools/pip_package
Path to vulnerable library: /tensorflow/lite/tools/pip_package,/tensorflow/python/tpu/client/pip_package,/tensorflow/python/tpu/profiler/pip_package,/tensorflow/lite/micro/examples/magic_wand/train/requirements.txt
Dependency Hierarchy: - :x: **numpy-1.16.2-cp37-cp37m-manylinux1_x86_64.whl** (Vulnerable Library)
Found in base branch: master
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: - 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 Fix
Type: Upgrade version
Origin: https://nvd.nist.gov/vuln/detail/CVE-2021-33430
Release Date: 2021-12-17
Fix Resolution: 1.21.0
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