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.

Data is provided by the National Vulnerability Database (NVD)
Numpy ≫ Numpy Version <= 1.16.0
Fedoraproject ≫ Fedora Version30
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 61.15% 0.982
CVSS Metriken
Source 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://www.securityfocus.com/bid/106670
Third Party Advisory
VDB Entry
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