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
https://github.com/numpy/numpy/issues/12759
https://bugzilla.suse.com/show_bug.cgi?id=1122208
https://access.redhat.com/errata/RHSA-2019:3704
https://access.redhat.com/errata/RHSA-2019:3335
http://www.securityfocus.com/bid/106670
http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html
Published: 2019-01-16
Updated: 2024-11-21
Base Score: 7.5
Vector: CVSS2#AV:N/AC:L/Au:N/C:P/I:P/A:P
Severity: High
Base Score: 9.8
Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Severity: Critical
Base Score: 9.3
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Severity: Critical