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
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: mitre
Published: 2019-01-16T05:00:00
Updated: 2019-11-06T00:07:55
Reserved: 2019-01-15T00:00:00
Link: CVE-2019-6446
JSON object: View
NVD Information
Status : Modified
Published: 2019-01-16T05:29:01.370
Modified: 2024-05-17T01:38:27.023
Link: CVE-2019-6446
JSON object: View
Redhat Information
No data.
CWE