GSD-2023-33099
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Transient DOS while processing SMS container of non-standard size received in DL NAS transport in NR.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-33099",
"id": "GSD-2023-33099"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-33099"
],
"details": "Transient DOS while processing SMS container of non-standard size received in DL NAS transport in NR.",
"id": "GSD-2023-33099",
"modified": "2023-12-13T01:20:36.803161Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
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"STATE": "PUBLIC"
},
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"data_format": "MITRE",
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"data_version": "4.0",
"description": {
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{
"lang": "eng",
"value": "Transient DOS while processing SMS container of non-standard size received in DL NAS transport in NR."
}
]
},
"impact": {
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{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
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"lang": "eng",
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{
"name": "https://docs.qualcomm.com/product/publicresources/securitybulletin/april-2024-bulletin.html",
"refsource": "MISC",
"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/april-2024-bulletin.html"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"descriptions": [
{
"lang": "en",
"value": "Transient DOS while processing SMS container of non-standard size received in DL NAS transport in NR."
},
{
"lang": "es",
"value": "DOS transitorio mientras se procesa un contenedor de SMS de tama\u00f1o no est\u00e1ndar recibido en el transporte DL NAS en NR."
}
],
"id": "CVE-2023-33099",
"lastModified": "2024-04-12T09:15:09.120",
"metrics": {
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{
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"attackVector": "NETWORK",
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"source": "product-security@qualcomm.com",
"type": "Primary"
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"published": "2024-04-01T15:15:47.000",
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"url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/april-2024-bulletin.html"
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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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