CVE-2024-37029 (GCVE-0-2024-37029)

Vulnerability from cvelistv5 – Published: 2024-06-13 17:23 – Updated: 2024-08-02 03:43
VLAI
Title
Fuji Electric Tellus Lite V-Simulator Stack-based Buffer Overflow
Summary
Fuji Electric Tellus Lite V-Simulator is vulnerable to a stack-based buffer overflow, which could allow an attacker to execute arbitrary code.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-13 18:55 UTC
CWE
  • CWE-121 - Stack-based Buffer Overflow
Impacted products
Vendor Product Version CPE status
Fuji Electric Tellus Lite V-Simulator Affected: 0 , < 4.0.20.0 (custom)
guessed Create a notification for this product.
fujielectric tellus_lite_v-simulator Affected: 0 , < 4.0.20.0 (custom)
    cpe:2.3:a:fujielectric:tellus_lite_v-simulator:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2024-06-13 17:00
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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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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