CVE-2019-6446 Information

Description

LICENSE README.md cvefilelist cvelist nvdcve nvdpages.sh scripts test-CVE-2017-1882.markdown test-CVE-2017-18822.markdown tmpvendorlinks DISPUTED LICENSE README.md cvefilelist cvelist nvdcve nvdpages.sh scripts test-CVE-2017-1882.markdown test-CVE-2017-18822.markdown tmpvendorlinks 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.

CVSS Vector

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Reference

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 http://www.securityfocus.com/bid/106670 https://access.redhat.com/errata/RHSA-2019:3335 https://access.redhat.com/errata/RHSA-2019:3704 https://bugzilla.suse.com/show_bug.cgi?id=1122208 https://github.com/numpy/numpy/issues/12759 https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/

Attack Complexity

LOW

Privileges Required

NONE

User Interaction Required

NONE

Scope

NONE

Confidentiality Impact

UNCHANGED

Integrity Impact

HIGH

Availability Impact

HIGH

Base Score

HIGH

Base Severity

9.8