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High

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.

  • Disclosed: 15.08.2017
  • Updated: 11.10.2026 11:18

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.

Affected software

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PlatformPackageVulnerable versionsFixed in
Python (PyPI) numpy < 1.13.3 1.13.3

References

CVSS score 7.5/10
CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness (CWE)
CWE-835
Platform
Python (PyPI)
Package
numpy
Disclosed
15.08.2017
Updated
11.10.2026 11:18

Sources and licenses

OSV / GitHub Advisory Database - GHSA-frgw-fgh6-9g52 - CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2017-1 - PyPA Advisory Database; 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
    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. this entry
    High · 7.5 CVE-2017-12852 < 1.13.3 1.13.3

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