CVE-2014-1859: (1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_i

Q: How do I fix CVE-2014-1859?

numpy: upgrade to newer than 1.8.0; fedora: mitigate or apply the listed mitigation; enterprise linux: mitigate or apply the listed mitigation. Exact commands for each OS are on this page.

Q: Is CVE-2014-1859 being exploited?

CVE-2014-1859 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.

Q: What does CVE-2014-1859 affect?

CVE-2014-1859 affects numpy, fedora, enterprise linux. Severity is medium (CVSS 5.5). (1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_io.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file.

Q: How urgent is CVE-2014-1859?

Priority 34/100. On your watchlist

Routine

MEDIUM 5.5WATCHLISTUPGRADEMITIGATEMITIGATE

CVE-2014-1859 is a medium-severity flaw (CVSS 5.5) affecting numpy, fedora, enterprise linux. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.

(1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_io.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file.

Why this priority

On your watchlist

A fixed release or distro patch exists.

Risk facts

CVSS score	5.5 (Medium)
Attack vector	Local
Attack complexity	Low
Privileges needed	Low
User interaction	None
EPSS exploit chance	0.5% (top 59%)
CISA exploited list	No
Weakness	CWE-59
Published	2018-01-08
Last modified	2026-06-17

Publisher (CNA): MITRE · Vendor: fedoraproject · numpy · redhat

Last updated 2026-06-17 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score

Am I affected?

Timeline

2018-01-08 19:29 UTCPublished CVE record published
2026-06-17 00:05 UTCUpdated Record last modified

numpy numpy UPGRADE

Affected: <= 1.8.0 · 1.8.1 rc1

Fixed in: newer than 1.8.0

Safe to downgrade to: no unaffected older release

1. Check installed version

apt-cache policy numpy || rpm -q numpy || numpy --version

2. UPGRADE to newer than 1.8.0 (Debian / Ubuntu)

sudo apt update && sudo apt install --only-upgrade numpy

2. UPGRADE (RHEL / Amazon Linux / Fedora)

sudo dnf upgrade numpy

Note

Distros often backport fixes without changing the version number. Confirm with the distro advisory or changelog.

fedoraproject fedora MITIGATE

Affected: 19 · 20

Fixed in: no fixed release known

Safe to downgrade to: a release before 19

Check your OS release

cat /etc/os-release; uname -r

Debian / Ubuntu

sudo apt update && sudo apt full-upgrade

RHEL / Amazon Linux / Fedora

sudo dnf upgrade --refresh

Windows

Install the latest cumulative update from Windows Update

If no patch exists yet

OS downgrades are not safe. Apply the vendor mitigation from the advisory and restrict exposure.

redhat enterprise linux MITIGATE

Affected: 6.0 · 7.0

Fixed in: no fixed release known

Safe to downgrade to: a release before 6.0

Check your OS release

cat /etc/os-release; uname -r

Debian / Ubuntu

sudo apt update && sudo apt full-upgrade

RHEL / Amazon Linux / Fedora

sudo dnf upgrade --refresh

Windows

Install the latest cumulative update from Windows Update

If no patch exists yet

OS downgrades are not safe. Apply the vendor mitigation from the advisory and restrict exposure.

Verify at the official source NVD · CVE Program · Report a problem with this page
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.

Quick answers

How do I fix CVE-2014-1859?

numpy: upgrade to newer than 1.8.0; fedora: mitigate or apply the listed mitigation; enterprise linux: mitigate or apply the listed mitigation. Exact commands for each OS are on this page.

Is CVE-2014-1859 being exploited?

CVE-2014-1859 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.

What does CVE-2014-1859 affect?

CVE-2014-1859 affects numpy, fedora, enterprise linux. Severity is medium (CVSS 5.5). (1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_io.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file.

How urgent is CVE-2014-1859?

Priority 34/100. On your watchlist

Software pages

Pandas and NumPy vulnerabilities

Related CVEs

CVE-2021-34141 MEDIUM 5.3 UPGRADE DOWNGRADE An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger
CVE-2021-41496 MEDIUM 5.5 UPGRADE Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to
CVE-2021-41495 MEDIUM 5.3 UPGRADE Null Pointer Dereference vulnerability exists in numpy.sort in NumPy &lt and 1.19 in the PyArray_DescrNew func
CVE-2021-33430 MEDIUM 5.3 UPGRADE A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when
CVE-2019-6446 CRITICAL 9.8 UPGRADE MITIGATE An issue was discovered in NumPy before 1.16.3

References

← Back to latest CVEs