9.8

CVE-2019-6446

Exploit
An issue was discovered in NumPy before 1.16.3. 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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Numpy ≫ Numpy Version <= 1.16.0
Fedoraproject ≫ Fedora Version30
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 17.08% 0.967
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 9.8 3.9 5.9
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
nvd@nist.gov 7.5 10 6.4
AV:N/AC:L/Au:N/C:P/I:P/A:P
CWE-502 Deserialization of Untrusted Data

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

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
http://www.securityfocus.com/bid/106670
Third Party Advisory
VDB Entry
https://access.redhat.com/errata/RHSA-2019:3335
https://access.redhat.com/errata/RHSA-2019:3704
https://bugzilla.suse.com/show_bug.cgi?id=1122208
Third Party Advisory
Exploit
Issue Tracking
https://github.com/numpy/numpy/issues/12759
Third Party Advisory
Exploit
Issue Tracking
https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/
https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb
https://github.com/numpy/numpy/pull/12889
https://github.com/numpy/numpy/pull/13359
https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/