** 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.
References
Link | Resource |
---|---|
https://github.com/numpy/numpy/issues/12759 | Exploit Issue Tracking Third Party Advisory |
https://bugzilla.suse.com/show_bug.cgi?id=1122208 | Exploit Issue Tracking Third Party Advisory |
http://www.securityfocus.com/bid/106670 | Third Party Advisory VDB Entry |
https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ | Third Party Advisory |
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html | |
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html | |
http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html | |
https://access.redhat.com/errata/RHSA-2019:3335 | |
https://access.redhat.com/errata/RHSA-2019:3704 |
Information
Published : 2019-01-15 21:29
Updated : 2019-09-30 17:15
NVD link : CVE-2019-6446
Mitre link : CVE-2019-6446
JSON object : View
CWE
CWE-502
Deserialization of Untrusted Data
Products Affected
numpy
- numpy
fedoraproject
- fedora