Security readout for executives and security teams
This is an old NumPy f2py issue where versions before 1.8.1 could let a local user overwrite files through unsafe temporary-file handling. It is not a remote internet-facing bug. Business urgency depends on whether legacy NumPy runs on shared systems where untrusted local users or jobs can execute code. Exposure is most likely in legacy Python environments, old Linux distribution packages, research clusters, build hosts, or shared application servers running NumPy before 1.8.1 with f2py accessible to local users. Prioritize only where legacy NumPy remains on shared systems. For modern environments, this should usually be handled through dependency hygiene and operating-system package updates rather than emergency response. Mitigation focus: Upgrade NumPy to 1.8.1 or later where affected versions are found.; Use vendor-supported distribution packages that include the Fedora or Debian security fix.; Remove or restrict legacy shared environments running vulnerable NumPy versions..
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
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ATT&CK lookup starting points
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CVE-2014-1858 mapping review
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Open ATT&CK lookup- Severity
- Unknown
- CVSS
- Not scored
- Known Exploited
- No
- Published
CNA and ADP enrichment extracted from CVE v5
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CVSS and timeline data
No CVSS vectors or timeline events were available in the normalized CVE source material.
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/numpy/numpy/commit/0bb46c1448b0d3f5453d5182a17ea7ac5854ee15CVE reference · x_refsource_CONFIRM
- https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=737778CVE reference · x_refsource_CONFIRM
- https://github.com/numpy/numpy/pull/4262CVE reference · x_refsource_CONFIRM
- https://bugzilla.redhat.com/show_bug.cgi?id=1062009CVE reference · x_refsource_CONFIRM
- https://github.com/numpy/numpy/blob/maintenance/1.8.x/doc/release/1.8.1-notes.rstCVE reference · x_refsource_CONFIRM
- numpy-cve20141858-symlink(91318)CVE reference · vdb-entry, x_refsource_XF
Products and packages named in the record
CWE details
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