CVE-2019-6446

Advisory

Numpy 1.16.3 includes a fix for CVE-2019-6446: 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/commit/89b688732b37616c9d26623f81aaee1703c30ffb

Affected package

Affected versions

Fixed versions

Vulnerability changelog

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.


MISC:https://github.com/numpy/numpy/issues/12759: https://github.com/numpy/numpy/issues/12759

Resources

• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-6446
• https://github.com/numpy/numpy/issues/12759
• https://bugzilla.suse.com/show_bug.cgi?id=1122208
• http://www.securityfocus.com/bid/106670
• https://lists.fedoraproject.org/archives/list/[email protected]/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/
• 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