FKIE_CVE-2023-37930
Vulnerability from fkie_nvd - Published: 2025-04-08 14:15 - Updated: 2026-06-17 06:08
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/
Summary
Multiple issues including the use of uninitialized ressources [CWE-908] and excessive iteration [CWE-834] vulnerabilities vulnerability in Fortinet allows a VPN user to corrupt memory potentially leading to code or commands execution via specifically crafted requests.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@fortinet.com | https://fortiguard.com/psirt/FG-IR-23-165 | Vendor Advisory |
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Multiple issues including the use of uninitialized ressources [CWE-908] and excessive iteration [CWE-834] vulnerabilities vulnerability in Fortinet allows a VPN user to corrupt memory potentially leading to code or commands execution via specifically crafted requests."
},
{
"lang": "es",
"value": "Varios problemas, incluido el uso de recursos no inicializados [CWE-908] y las vulnerabilidades de iteraci\u00f3n excesiva [CWE-834] en Fortinet FortiOS SSL VPN webmode versi\u00f3n 7.4.0, versi\u00f3n 7.2.0 a 7.2.5, versi\u00f3n 7.0.1 a 7.0.11 y versi\u00f3n 6.4.7 a 6.4.14 y Fortinet FortiProxy SSL VPN webmode versi\u00f3n 7.2.0 a 7.2.6 y versi\u00f3n 7.0.0 a 7.0.12 permiten que un usuario de VPN corrompa la memoria, lo que potencialmente lleva a la ejecuci\u00f3n de c\u00f3digo o comandos a trav\u00e9s de solicitudes espec\u00edficamente manipuladas."
}
],
"id": "CVE-2023-37930",
"lastModified": "2026-06-17T06:08:55.657",
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"role": "CISA Coordinator",
"timestamp": "2025-04-09T04:00:41.733448Z",
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"published": "2025-04-08T14:15:30.653",
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}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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