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CVE-2021-41496

Medium priority

Some fixes available 3 of 5

** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The...

1 affected packages

numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
numpy Fixed Fixed Ignored
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CVE-2021-41495

Medium priority

Some fixes available 3 of 5

** DISPUTED ** Null Pointer Dereference vulnerability exists in numpy.sort in NumPy &lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks...

1 affected packages

numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
numpy Fixed Fixed Ignored
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CVE-2021-34141

Medium priority

Some fixes available 3 of 5

An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code...

1 affected packages

numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
numpy Fixed Fixed Ignored
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CVE-2021-33430

Medium priority

Some fixes available 1 of 3

** DISPUTED ** 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...

1 affected packages

numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
numpy Not affected Fixed Ignored
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CVE-2019-6446

Low priority
Ignored

** 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...

1 affected packages

python-numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
python-numpy Not in release Not in release Not affected Not affected Not affected
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CVE-2014-1859

Low priority
Ignored

(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.

1 affected packages

python-numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
python-numpy Not affected Not affected
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CVE-2014-1858

Low priority
Ignored

__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.

1 affected packages

python-numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
python-numpy Not affected Not affected
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CVE-2017-12852

Low priority
Vulnerable

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.

1 affected packages

python-numpy

Package 24.04 LTS 22.04 LTS 20.04 LTS 18.04 LTS 16.04 LTS
python-numpy Not in release Not in release Not affected Vulnerable Vulnerable
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