Vulnerability Monitor

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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

2019-01-16T05:29:01.370

Last Modified

2025-07-21T23:15:25.020

Status

Modified

Source

[email protected]

Severity

CVSSv3.0: 9.8 (CRITICAL)

CVSSv2 Vector

AV:N/AC:L/Au:N/C:P/I:P/A:P

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: NONE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

10.0

Impact Score

6.4

Weaknesses
  • Type: Primary
    CWE-502

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application numpy numpy ≤ 1.16.0 Yes
Operating System fedoraproject fedora 30 Yes

References