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
Configurations
History
21 Nov 2024, 04:46
Type | Values Removed | Values Added |
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References | () http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html - | |
References | () http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html - | |
References | () http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html - | |
References | () http://www.securityfocus.com/bid/106670 - Third Party Advisory, VDB Entry | |
References | () https://access.redhat.com/errata/RHSA-2019:3335 - | |
References | () https://access.redhat.com/errata/RHSA-2019:3704 - | |
References | () https://bugzilla.suse.com/show_bug.cgi?id=1122208 - Exploit, Issue Tracking, Third Party Advisory | |
References | () https://github.com/numpy/numpy/issues/12759 - Exploit, Issue Tracking, Third Party Advisory | |
References | () https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ - |
07 Nov 2023, 03:13
Type | Values Removed | Values Added |
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References |
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Summary | 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 : 2024-11-21 04:46
NVD link : CVE-2019-6446
Mitre link : CVE-2019-6446
CVE.ORG link : CVE-2019-6446
JSON object : View
Products Affected
fedoraproject
- fedora
numpy
- numpy
CWE
CWE-502
Deserialization of Untrusted Data