567 matches found
CVE-2019-6446
An issue was discovered in NumPy before 1.16.3. 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...
Design/Logic Flaw
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...
UBUNTU-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...
abcpy (>=0.5.0 <=0.5.2), abtests (>=0.0.1 <=0.0.2.1) +583 more potentially affected by CVE-2019-6446 via numpy (>=1.10.0 <=1.16.0)
numpy PYPI version =1.10.0, =0.5.0, =0.0.1, =0.0.1, =0.1.0, =0.6.0, =2.0.0, =0.0.2, =0.1.0, =0.0.13, =1.1.0rc6, =2.0.0, =2.1.1 and more Source cves: CVE-2019-6446 Source advisory: OSV:PYSEC-2019-108...
PYSEC-2019-108
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...
CVE-2019-6446
An issue was discovered in NumPy before 1.16.3. 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...
PYSEC-2019-108
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...
PYSEC-2019-38
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...
CVE-2019-6446
An issue was discovered in NumPy before 1.16.3. 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...
CVE-2019-6446
CVE-2019-6446 affects NumPy (pre-1.16.3) where the pickle module is used unsafely via numpy.load, allowing remote code execution with a crafted serialized object. The issue is noted as disputed by third parties who argue the behavior can be legitimate in loading trusted Python object arrays. Mult...
CVE-2019-6446
Removed by vendor...
PT-2019-1615
Name of the Vulnerable Software and Affected Versions NumPy versions 1.16.0 and earlier Description An issue was discovered in NumPy where it uses the pickle Python module unsafely. This allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a...
AZL-41294 CVE-2018-1999024 affecting package numpy for versions less than 1.26.3-4
MathJax version prior to version 2.7.4 contains a Cross Site Scripting XSS vulnerability in the \unicode macro that can result in Potentially untrusted Javascript running within a web browser. This attack appear to be exploitable via The victim must view a page where untrusted content is processe...
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...
CVE-2014-1859
1 core/tests/testmemmap.py, 2 core/tests/testmultiarray.py, 3 f2py/f2py2e.py, and 4 lib/tests/testio.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file...
CVE-2014-1859
1 core/tests/testmemmap.py, 2 core/tests/testmultiarray.py, 3 f2py/f2py2e.py, and 4 lib/tests/testio.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file...
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...
PYSEC-2018-33
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...
PYSEC-2018-34
1 core/tests/testmemmap.py, 2 core/tests/testmultiarray.py, 3 f2py/f2py2e.py, and 4 lib/tests/testio.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file...