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
Published 2019-01-16 05:29:01
Updated 2024-08-04 21:15:29
Source MITRE
View at NVD,   CVE.org
Vulnerability category: Execute code

Products affected by CVE-2019-6446

Exploit prediction scoring system (EPSS) score for CVE-2019-6446

3.43%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 92 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2019-6446

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
7.5
HIGH AV:N/AC:L/Au:N/C:P/I:P/A:P
10.0
6.4
NIST
9.8
CRITICAL CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
3.9
5.9
NIST

CWE ids for CVE-2019-6446

References for CVE-2019-6446

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