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Critical

Numpy Deserialization of Untrusted Data

  • Disclosed: 16.01.2019
  • Updated: 11.10.2026 13:18

** DISPUTED ** An issue was discovered in NumPy 1.16.2 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.

Affected software

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PlatformPackageVulnerable versionsFixed in
Python (PyPI) numpy < 1.16.3 1.16.3

References

CVSS score 9.8/10
CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness (CWE)
CWE-502
Platform
Python (PyPI)
Package
numpy
Disclosed
16.01.2019
Updated
11.10.2026 13:18

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2019-108 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-9fq2-x9r6-wfmf - CC BY 4.0

Vulnerability history: numpy

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

Total entries
8
First → latest
08.2017 12.2021
Without a fix
0
Exploited in attacks
0

Severity breakdown

  • Critical 1
  • High 4
  • Medium 3

Disclosures per year

  1. Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative valu
    Medium · 5.5 CVE-2021-41496 < 1.19.0 1.19.0
  2. Null Pointer Dereference vulnerability exists in numpy.sort in NumPy &lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks
    High · 7.5 CVE-2021-41495 < 1.19.1 1.19.1
  3. Incomplete string comparison in the numpy.core component in NumPy1.9.x, which allows attackers to fail the APIs via constructing specific string objects.
    Medium · 5.3 CVE-2021-34141 >= 1.9.0, < 1.10.0 1.10.0
  4. NumPy Buffer Overflow (Disputed)
    Medium · 5.3 CVE-2021-33430 >= 1.9.0, < 1.21 1.21
  5. Numpy Deserialization of Untrusted Data this entry
    Critical · 9.8 CVE-2019-6446 < 1.16.3 1.16.3
  6. Numpy arbitrary file write via symlink attack
    High · 5.5 CVE-2014-1859 < 1.8.1 1.8.1
  7. Arbitrary file write in NumPy
    High · 5.5 CVE-2014-1858 < 1.8.1 1.8.1
  8. The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.
    High · 7.5 CVE-2017-12852 < 1.13.3 1.13.3

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