CVE-2019-6446
numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution
Severity
ModerateRed Hat Product Security
CVSS 3.0
Review impact separately from score.
Published · January 16, 2019
Updated · June 27, 2026
Description
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.
Statement
Red Hat Enterprise Virtualization Management Appliance includes the vulnerable version of numpy, however it is not used and this vulnerability is not exposed.
Red Hat OpenStack Platform includes a vulnerable version of numpy, however it is not used in a vulnerable manner.
CVSS score applicability
The CVSS score(s) listed for this vulnerability do not reflect the associated product's status, and are included for informational purposes to better understand the severity of this vulnerability.
Mitigation
No mitigation is specified in collected source.
CVSS / CWE
CVSS 3.0 · 8.8CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-502 · Deserialization of Untrusted Data