CVE-2019-6446

critical

Description

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

References

Advisories
More

https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/

https://access.redhat.com/errata/RHSA-2019:3704

https://access.redhat.com/errata/RHSA-2019:3335

http://www.securityfocus.com/bid/106670

http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html

http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html

http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html

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

https://bugzilla.suse.com/show_bug.cgi?id=1122208

Details

Source: Mitre, NVD

Published: 2019-01-16

Updated: 2024-11-21

Risk Information

CVSS v2

Base Score: 7.5

Vector: CVSS2#AV:N/AC:L/Au:N/C:P/I:P/A:P

Severity: High

CVSS v3

Base Score: 9.8

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

Severity: Critical

CVSS v4

Base Score: 9.3

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Severity: Critical

EPSS

EPSS: 0.57542