Skip to content
Fencer Intel
high 7.5

CVE-2017-12852 json

Numpy missing input validation

published 2017-08-15 9 y ago modified 2026-06-17 4 mo ago also GHSA-frgw-fgh6-9g52 , PYSEC-2017-1 , EUVD-2017-0080

cvss
7.5
version 3.0, NVD
cisa kev
Not listed
not in CISA's catalog
epss
2.7%
EPSS 2.7% chance of exploitation in 30 days, percentile 86%
public exploits
0
none known

Summary

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.

Patch / fix

  • pypi numpy 1.13.3
  • python-numpy SLES for SAP 12 SP5, SLES 12 SP5, SLE Software Development Kit 12 SP5 1.8.0-5.19.1
  • python-numpy_1_13_3-gnu-hpc SLE Module for HPC 12 1.13.3-4.6.1

suse advisories SUSE-SU-2022:3954-1SUSE-RU-2017:3010-1

  • python-numpy openSUSE Tumbleweed 2.4.6-1.1
  • python-numpy1 openSUSE Tumbleweed 1.26.4-1.1
  • python-numpy openSUSE Tumbleweed 1.21.2-1.1
  • python-numpy openSUSE Tumbleweed 1.26.2-5.1

opensuse advisories openSUSE-SU-2026:11371-1openSUSE-SU-2024:14311-1openSUSE-SU-2024:11243-1openSUSE-SU-2024:13820-1

Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2017-12852 updated cvss 4.0

numpy: Missing input validation on empty list or ndarray in numpy.pad function

  • Red Hat OpenShift Enterprise 1 python27-numpy Red Hat Enterprise Linux 6 numpy, numpy-f2py Red Hat Enterprise Linux 7 numpy, numpy-f2py Red Hat Enterprise MRG 1 numpy Red Hat OpenStack Platform 11 (Ocata) numpy Red Hat Software Collections python27-numpy, rh-python34-numpy, rh-python35-numpy, python27-numpy-f2py, rh-python34-numpy-f2py, rh-python35-numpy-f2py
    affected: no fix planned “Will not fix”

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

Exploit prediction

2.74% chance of exploitation in the next 30 days, higher than 86% of all scored CVEs (FIRST EPSS, 2026-11-09).

Exploits and checks

  • github.com https://github.com/numpy/numpy/issues/9560#issuecomment-322395292 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
NVD 3.0 7.5 CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
NVD 2.0 5.0 AV:N/AC:L/Au:N/C:N/I:N/A:P
GitHub 3.0 7.5 CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Affected packages

ecosystem package affected fixed in
pypi numpy
<1.13.3
1.13.3

Classification

Weakness
  • CWE-835 Loop with Unreachable Exit Condition

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.