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CVE-2023-48234 (GCVE-0-2023-48234)

Vulnerability from cvelistv5 – Published: 2023-11-16 22:52 – Updated: 2026-06-23 17:19
VLAI
Title
overflow in nv_z_get_count in vim
Summary
Vim is an open source command line text editor. When getting the count for a normal mode z command, it may overflow for large counts given. Impact is low, user interaction is required and a crash may not even happen in all situations. This issue has been addressed in commit `58f9befca1` which has been included in release version 9.0.2109. Users are advised to upgrade. There are no known workarounds for this vulnerability.
Severity
2.8 (Low)
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-03 15:34 UTC
CWE
  • CWE-190 - Integer Overflow or Wraparound
Assigner
References
Impacted products
Vendor Product Version CPE status
vim vim Affected: < 9.0.2109
guessed Create a notification for this product.
Show details on NVD website
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}



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Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.