PatchTheCVECVE-2014-1858: __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack
CVE-2014-1858 is a medium-severity flaw (CVSS 5.5) affecting numpy. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.
__init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack on a temporary file.
Why this priority
- No elevated risk signals yet
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 | 0.4% (top 61%) |
| CISA exploited list | No |
| Weakness | CWE-20 |
| Published | 2018-01-08 |
| Last modified | 2026-06-17 |
Last updated 2026-06-17 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score
Am I affected?
Timeline
- Published CVE record published
- Updated Record last modified
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-2014-1858?
numpy: upgrade to 1.8.1. Exact commands for each OS are on this page.
Is CVE-2014-1858 being exploited?
CVE-2014-1858 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-2014-1858 affect?
CVE-2014-1858 affects numpy. Severity is medium (CVSS 5.5). __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack on a temporary file.
How urgent is CVE-2014-1858?
Priority 29/100. No elevated risk signals yet.
Software pages
Pandas and NumPy vulnerabilities
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