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CVE-2017-12852

Numpy missing input validation

7.5 HighPublic exploitFix available

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.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
None
Integrity
None
Availability
High

Exploit likelihood

2.74%Unchanged since Apr 14, 2021
90%50%10%1%

What each source reports

NVD Score used 7.5

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.

Record
CVE-2017-12852
CVSS 3.0
7.5 HighCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0
5.0 MediumAV:N/AC:L/Au:N/C:N/I:N/A:P
Weakness
CWE-835
Updated
2026-11-02
CVE List No score

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.

Record
CVE-2017-12852
Updated
2026-11-02
EUVDEUVD-2017-0080 No score

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.

Record
EUVD-2017-0080
Updated
2026-11-03
GitHub AdvisoriesGHSA-frgw-fgh6-9g52 7.5

Numpy missing input validation

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.

Record
GHSA-frgw-fgh6-9g52
CVSS 3.0
7.5 HighCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness
CWE-835
Updated
2026-11-02
OSV 7.5

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.

Record
CVE-2017-12852
CVSS 3.0
7.5 HighCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVGHSA-frgw-fgh6-9g52 7.5

Numpy missing input validation

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.

Record
GHSA-frgw-fgh6-9g52
CVSS 3.0
7.5 HighCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness
CWE-835
Updated
2026-11-02
Show 8 moreShow less
OSVUBUNTU-CVE-2017-12852 7.5

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.

Record
UBUNTU-CVE-2017-12852
CVSS 3.0
7.5 HighCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVopenSUSE-SU-2024:11243-1 No score

python38-numpy-1.21.2-1.1 on GA media

These are all security issues fixed in the python38-numpy-1.21.2-1.1 package on the GA media of openSUSE Tumbleweed.

Record
openSUSE-SU-2024:11243-1
Updated
2026-11-02
OSVopenSUSE-SU-2024:13820-1 No score

python310-numpy-1.26.2-5.1 on GA media

These are all security issues fixed in the python310-numpy-1.26.2-5.1 package on the GA media of openSUSE Tumbleweed.

Record
openSUSE-SU-2024:13820-1
Updated
2026-11-02
OSVopenSUSE-SU-2024:14311-1 No score

python310-numpy1-1.26.4-1.1 on GA media

These are all security issues fixed in the python310-numpy1-1.26.4-1.1 package on the GA media of openSUSE Tumbleweed.

Record
openSUSE-SU-2024:14311-1
Updated
2026-11-02
OSVopenSUSE-SU-2026:11371-1 No score

python313-numpy-2.4.6-1.1 on GA media

These are all security issues fixed in the python313-numpy-2.4.6-1.1 package on the GA media of openSUSE Tumbleweed.

Record
openSUSE-SU-2026:11371-1
Updated
2026-11-02
OSVPYSEC-2017-1 No score

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.

Record
PYSEC-2017-1
Updated
2026-11-02
OSVSUSE-RU-2017:3010-1 No score

Initial release of python-numpy for HPC (v1.13.3, gcc)

This update introduces the NumPy packages version 1.13.3 built for environment modules to the HPC (module FATE#321709).

NumPy is a general-purpose array-processing package for Python designed to manipulate large multi-dimensional arrays of arbitrary records.

It also provides basic facilities for discrete fourier transform, basic linear algebra and random number generation.

Record
SUSE-RU-2017:3010-1
Updated
2026-11-02
OSVSUSE-SU-2022:3954-1 No score

Security update for python-numpy

This update for python-numpy fixes the following issues:

  • CVE-2017-12852: Fixed missing input validation leading to infinite loops (bsc#1053963).

Bugfixes:

  • Use update-alternatives for /usr/bin/f2py (bsc#1199500).
Record
SUSE-SU-2022:3954-1
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
numpy
PyPI
 before 1.13.3
1.13.3
numpy
PyPI
 before 1.13.3, plus listed versions
0.9.60.9.81.01.0.31.0.4
Show 40 moreShow less
1.0b11.0b41.0b51.0rc11.0rc21.0rc31.1.11.10.01.10.11.10.21.10.31.10.41.11.01.11.11.11.21.11.31.12.01.12.11.13.01.13.11.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.6.11.6.21.7.01.7.11.7.21.8.01.8.11.8.21.9.01.9.11.9.21.9.3
1.13.3
numpy
PyPI
 before 1.13.3, plus listed versions
0.9.60.9.81.01.0.31.0.4
Show 42 moreShow less
1.0b11.0b41.0b51.0rc11.0rc21.0rc31.1.11.10.01.10.11.10.21.10.31.10.41.11.01.11.11.11.21.11.31.12.01.12.11.13.01.13.0rc11.13.0rc21.13.11.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.6.11.6.21.7.01.7.11.7.21.8.01.8.11.8.21.9.01.9.11.9.21.9.3
1.13.3
python-numpy_1_13_3-gnu-hpc
SUSE:Linux Enterprise Module for HPC 12
 before 1.13.3-4.6.1
1.13.3-4.6.1
python-numpy
SUSE:Linux Enterprise Software Development Kit 12 SP5
 before 1.8.0-5.19.1
1.8.0-5.19.1
python-numpy
SUSE:Linux Enterprise Server 12 SP5
 before 1.8.0-5.19.1
1.8.0-5.19.1
python-numpy
SUSE:Linux Enterprise Server for SAP Applications 12 SP5
 before 1.8.0-5.19.1
1.8.0-5.19.1
python-numpy
Ubuntu:16.04:LTS
 All versions, plus listed versions
1:1.8.2-1ubuntu21:1.8.2-1ubuntu31:1.10.4-2ubuntu21:1.11.0-1ubuntu1
 None known
python-numpy
Ubuntu:18.04:LTS
 All versions, plus listed versions
1:1.12.1-3.1ubuntu41:1.13.3-0ubuntu11:1.13.3-1ubuntu11:1.13.3-1ubuntu21:1.13.3-2ubuntu1
 None known
python-numpy
openSUSE:Tumbleweed
From an advisory covering 2 CVEs
 before 1.21.2-1.1
1.21.2-1.1
python-numpy
openSUSE:Tumbleweed
From an advisory covering 2 CVEs
 before 1.26.2-5.1
1.26.2-5.1
python-numpy1
openSUSE:Tumbleweed
From an advisory covering 5 CVEs
 before 1.26.4-1.1
1.26.4-1.1
python-numpy
openSUSE:Tumbleweed
From an advisory covering 5 CVEs
 before 2.4.6-1.1
2.4.6-1.1

Public exploits

Links only. Every CVE stores no exploit code.

Public exploits
SourceLinkDate
PoC in GitHubBT123/numpy-1.13.12017-09-30

History

History
RecordedChangedSources
affected, facts
aliasesEUVD
first indexedCVE List, GitHub Advisories, NVD, OSV, PoC in GitHub

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2017-12852 is a high vulnerability (CVSS 7.5) in Numpy, published August 15, 2017. Public exploit code exists. EPSS puts the chance of exploitation in the next 30 days at 2.74%, the 86th percentile. Fixed in numpy 1.13.3.

References

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