CVE-2019-6446
CRITICALNumpy < 1.16.0 - Insecure Deserialization
Title source: ruleDescription
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.
Exploits (1)
References (13)
Scores
CVSS v3
9.8
EPSS
0.5160
EPSS Percentile
97.9%
Attack Vector
NETWORK
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Classification
CWE
CWE-502
Status
published
Affected Products (3)
numpy/numpy
< 1.16.0
fedoraproject/fedora
pypi/numpy
PyPI
Timeline
Published
Jan 16, 2019
Tracked Since
Feb 18, 2026