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 that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
Link | Tags |
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https://bugzilla.suse.com/show_bug.cgi?id=1122208 | third party advisory issue tracking exploit |
http://www.securityfocus.com/bid/106670 | third party advisory vdb entry |
https://github.com/numpy/numpy/issues/12759 | third party advisory issue tracking exploit |
https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ | vendor advisory |
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html | vendor advisory |
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html | vendor advisory |
http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html | vendor advisory |
https://access.redhat.com/errata/RHSA-2019:3335 | vendor advisory |
https://access.redhat.com/errata/RHSA-2019:3704 | vendor advisory |