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PYSEC-2019-108
Details
** 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 that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.
Are you affected?
Enter the version of the package you're using.
Affected packages
References
- https://github.com/numpy/numpy/issues/12759 [REPORT]
- https://bugzilla.suse.com/show_bug.cgi?id=1122208 [REPORT]
- http://www.securityfocus.com/bid/106670 [WEB]
- https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ [WEB]
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html [WEB]
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html [WEB]
- http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html [WEB]
- https://access.redhat.com/errata/RHSA-2019:3335 [ADVISORY]
- https://access.redhat.com/errata/RHSA-2019:3704 [ADVISORY]
- https://github.com/advisories/GHSA-9fq2-x9r6-wfmf [ADVISORY]