Vulnerability Database

296,147

Total vulnerabilities in the database

CVE-2019-6446

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: Jan 16, 2019
  • Updated: Aug 3, 2025
  • CVE: CVE-2019-6446
  • Severity: Critical
  • Exploit:

CVSS v3:

  • Severity: Critical
  • Score: 9.8
  • AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

CVSS v2:

  • Severity: High
  • Score: 7.5
  • AV:N/AC:L/Au:N/C:P/I:P/A:P

CWEs:

OWASP TOP 10:

Software From Fixed in
numpy / numpy - 1.16.0.x
fedoraproject / fedora 30 30.x