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
History

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cve-icon MITRE

Status: PUBLISHED

Assigner: mitre

Published: 2019-01-16T05:00:00

Updated: 2024-08-04T20:23:20.930Z

Reserved: 2019-01-15T00:00:00

Link: CVE-2019-6446

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Modified

Published: 2019-01-16T05:29:01.370

Modified: 2024-11-21T04:46:28.137

Link: CVE-2019-6446

cve-icon Redhat

Severity : Moderate

Publid Date: 2019-01-16T00:00:00Z

Links: CVE-2019-6446 - Bugzilla