SUSE SLES11 Security Update : python-numpy (SUSE-SU-2019:13951-1)

This update for python-numpy fixes the following issues : Security issue fixed : CVE-2019-6446: Set allowpickle to false by default to restrict loading untrusted content bsc1122208. With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing...

SUSE-SU-2019:13951-1 Security update for python-numpy

This update for python-numpy fixes the following issues: Security issue fixed: - CVE-2019-6446: Set allowpickle to false by default to restrict loading untrusted content bsc1122208. With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing...

Arbitrary Code Execution

numpy is vulnerable to code execution. It loads pickle by default np.loadallowpickle=True and uses the module in an unsafe way such that it allows an attacker to execute arbitrary code via a malicious serialized object...

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

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...

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...

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...

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...

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-2019-108

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...

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

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

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-2014-1859

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...

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...