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 that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.

Link	Resource
https://github.com/numpy/numpy/issues/12759	Exploit Issue Tracking
https://bugzilla.suse.com/show_bug.cgi?id=1122208	Exploit Issue Tracking
http://www.securityfocus.com/bid/106670	Third Party Advisory VDB Entry
https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/	Third Party Advisory
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html
http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html
https://access.redhat.com/errata/RHSA-2019:3335
https://access.redhat.com/errata/RHSA-2019:3704

Configuration 1

cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:* cpe:2.3:o:fedoraproject:fedora:30:*:*:*:*:*:*:*

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Published : 2019-01-16 05:29

Updated : 2019-10-01 12:15

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NVD link : CVE-2019-6446

Mitre link : CVE-2019-6446

No products.

CWE-502

Deserialization of Untrusted Data