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
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Affected Vendors & Products
References
History
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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
Vulnrichment
No data.
NVD
Status : Modified
Published: 2019-01-16T05:29:01.370
Modified: 2024-11-21T04:46:28.137
Link: CVE-2019-6446
Redhat