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8 known vulnerabilities across versions
Vulnerabilities are listed by affected version. Select any CVE for the full briefing and its intelligence graph.
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CVE-2021-41496
< 1.19.0
Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of
5.5
MEDIUM
CVE-2021-41495
<= 1.19.0
Null Pointer Dereference vulnerability exists in numpy.sort in NumPy < and 1.19 in the PyArray_DescrNew function due to missing
5.3
MEDIUM
CVE-2021-34141
< 1.22.0
An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect
5.3
MEDIUM
CVE-2021-33430
>= 1.9.0 and <= 1.9.3
A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays o
5.3
MEDIUM
CVE-2019-6446
<= 1.16.0
An issue was discovered in NumPy before 1.16.3. It uses the pickle Python module unsafely, which allows remote attackers to execut
9.8
CRITICAL
CVE-2014-1859
<= 1.8.0
(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
5.5
MEDIUM
CVE-2014-1858
< 1.8.1
__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.
5.5
MEDIUM
CVE-2017-12852
<= 1.13.1
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
7.5
HIGH
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