CVE-2019-6446
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.
Published:Jan 16, 2019
Last Modified:Jul 21, 2025
EPS:Jan 16, 2019
EPSS Score:0.59213
CVSS Score:9.8
Affected Products
Vendor
Product
Action
Vendor
Fedoraproject
Product
Fedora
Fedoraproject
Fedora
Vendor
Numpy
Product
Numpy
Numpy
Numpy
Vendor
Redhat
Product
Enterprise Linux
Redhat
Enterprise Linux
Exploits
Common Weakness Enumeration
Common Attack Pattern Enumeration and Classification (CAPEC)
Related CVEs
References
Common Vulnerability Scoring System
Attack Vector
Network
Adjacent
Local
Physical
Privileges Required
None
Low
High
User Interaction
None
Required
Scope
Unchanged
Changed
Confidentiality
None
Low
High
Integrity
None
Low
High
Availability
None
Low
High
