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CVE-2024-4081 (GCVE-0-2024-4081)

Vulnerability from cvelistv5 – Published: 2024-07-23 13:32 – Updated: 2025-09-30 13:44
VLAI
Title
Memory Corruption Due to Improper Length Check in NI LabVIEW
Summary
A memory corruption issue due to an improper length check in NI LabVIEW may disclose information or result in arbitrary code execution. Successful exploitation requires an attacker to provide a user with a specially crafted VI. This vulnerability affects NI LabVIEW 2024 Q1 and prior versions.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-24 13:25 UTC
CWE
Assigner
Impacted products
Vendor Product Version CPE status
NI LabVIEW Affected: 0 , ≤ 24.1 (sem)
guessed Create a notification for this product.
ni labview Affected: 0 , ≤ 24.1 (custom)
    cpe:2.3:a:ni:labview:-:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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}



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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.

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Detection rules are retrieved from Rulezet.

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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.


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