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An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call.
CVE-2019-6446 - High Severity Vulnerability
Vulnerable Library - numpy-1.16.0-cp35-cp35m-manylinux1_x86_64.whl
NumPy is the fundamental package for array computing with Python.
path: /SmartBin/requirements.txt,/tmp/git/SmartBin/requirements.txt
Library home page: https://files.pythonhosted.org/packages/64/24/2e9c72f44cec8c872000d78c54230e40550c494647e352d1d06724cdaee6/numpy-1.16.0-cp35-cp35m-manylinux1_x86_64.whl
Dependency Hierarchy:
Vulnerability Details
An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call.
Publish Date: 2019-01-16
URL: CVE-2019-6446
CVSS 3 Score Details (9.8)
Base Score Metrics:
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