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** DISPUTED ** 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. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.
CVE-2019-6446 - High Severity Vulnerability
NumPy: array processing for numbers, strings, records, and objects.
path: /pynuance/requirements.txt
Library home page: https://pypi.python.org/packages/5f/d2/9fa0201944933afd6d059f1e32aa6bdb203b23ab62fc823d3adf36295b9a/numpy-1.13.1-cp27-cp27mu-manylinux1_x86_64.whl
Dependency Hierarchy:
** DISPUTED ** 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. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.
Publish Date: 2019-01-16
URL: CVE-2019-6446
Base Score Metrics:
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