Product:

Numpy

(Numpy)
Repositories https://github.com/numpy/numpy
#Vulnerabilities 4
Date ID Summary Products Score Patch
2017-08-15 CVE-2017-12852 The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack. Numpy 7.5
2019-01-16 CVE-2019-6446 ** 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. Fedora, Numpy 9.8
2018-01-08 CVE-2014-1859 (1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_io.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file. Fedora, Numpy, Enterprise_linux 5.5
2018-01-08 CVE-2014-1858 __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack on a temporary file. Numpy 5.5