CVE-2019-6446

An issue was discovered in NumPy before 1.16.3. 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.
References
Link Resource
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 Third Party Advisory VDB Entry
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 Exploit Issue Tracking Third Party Advisory
https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb
https://github.com/numpy/numpy/issues/12759 Exploit Issue Tracking Third Party Advisory
https://github.com/numpy/numpy/pull/12889
https://github.com/numpy/numpy/pull/13359
https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/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
http://www.securityfocus.com/bid/106670 Third Party Advisory VDB Entry
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 Exploit Issue Tracking Third Party Advisory
https://github.com/numpy/numpy/issues/12759 Exploit Issue Tracking Third Party Advisory
https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/
Configurations

Configuration 1 (hide)

cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*

Configuration 2 (hide)

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

History

21 Jul 2025, 22:15

Type Values Removed Values Added
References
  • () https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb -
  • () https://github.com/numpy/numpy/pull/12889 -
  • () https://github.com/numpy/numpy/pull/13359 -
  • () https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ -
Summary (en) 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 (en) An issue was discovered in NumPy before 1.16.3. 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.

Information

Published : 2019-01-16 05:29

Updated : 2025-07-21 23:15


NVD link : CVE-2019-6446

Mitre link : CVE-2019-6446

CVE.ORG link : CVE-2019-6446


JSON object : View

Products Affected

fedoraproject

  • fedora

numpy

  • numpy
CWE
CWE-502

Deserialization of Untrusted Data