gpp_maybe
Security update for python-numpy
slessp4-python-numpy-13951
This update for python-numpy fixes the following issues: Security issue fixed: - CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set. NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution.
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Release DateFeb 12 2019
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References
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Typesecurity
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Severityimportant
cloud_download Downloads
SUSE Linux Enterprise Server for SAP Applications 11.4 ppc64
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Packagespython-numpy
NumPy array processing for numbers, strings, records and objects1.8.0-6.4.1 lock rpm lock src
SUSE Linux Enterprise Server 11.4 ia64
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Packagespython-numpy
NumPy array processing for numbers, strings, records and objects1.8.0-6.4.1 lock rpm lock src
SUSE Linux Enterprise Server 11.4 i586
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Packagespython-numpy
NumPy array processing for numbers, strings, records and objects1.8.0-6.4.1 lock rpm lock src
SUSE Linux Enterprise Server 11.4 s390x
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Packagespython-numpy
NumPy array processing for numbers, strings, records and objects1.8.0-6.4.1 lock rpm lock src
SUSE Linux Enterprise Server for SAP All-in-One 11.4 x86_64
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Packagespython-numpy
NumPy array processing for numbers, strings, records and objects1.8.0-6.4.1 lock rpm lock src