CVE-2019-6446

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
Configurations

Configuration 1 (hide)

cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*

Configuration 2 (hide)

cpe:2.3:o:fedoraproject:fedora:30:*:*:*:*:*:*:*

History

07 Nov 2023, 03:13

Type Values Removed Values Added
References
  • {'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/', 'name': 'FEDORA-2019-1dfe95a864', 'tags': ['Third Party Advisory'], 'refsource': 'FEDORA'}
  • () https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ -
Summary ** DISPUTED ** 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. 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

Information

Published : 2019-01-16 05:29

Updated : 2024-04-11 01:05


NVD link : CVE-2019-6446

Mitre link : CVE-2019-6446

CVE.ORG link : CVE-2019-6446


JSON object : View

Products Affected

numpy

  • numpy

fedoraproject

  • fedora
CWE
CWE-502

Deserialization of Untrusted Data