FKIE_CVE-2024-3051
Vulnerability from fkie_nvd - Published: 2024-04-26 22:15 - Updated: 2026-06-17 07:43
Severity
Summary
Malformed Device Reset Locally command classes can be sent to temporarily deny service to an end device. Any frames sent by the end device will not be acknowledged by the gateway during this time.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"packageName": "Gecko SDK",
"product": "Z/IP Gateway SDK",
"repo": "https://github.com/SiliconLabs/gecko_sdk/releases",
"vendor": "silabs.com",
"versions": [
{
"lessThanOrEqual": "7.18.03",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "product-security@silabs.com"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:silabs:z\\/ip_gateway_sdk:-:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "z\\/ip_gateway_sdk",
"vendor": "silabs",
"versions": [
{
"status": "affected",
"version": "-"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Malformed Device Reset Locally command classes can be sent to temporarily deny service to an end device. Any frames sent by the end device will not be acknowledged by the gateway during this time."
},
{
"lang": "es",
"value": "Restablecimiento de dispositivo con formato incorrecto Se pueden enviar clases de comando localmente para denegar temporalmente el servicio a un dispositivo final. La puerta de enlace no reconocer\u00e1 ninguna trama enviada por el dispositivo final durante este tiempo."
}
],
"id": "CVE-2024-3051",
"lastModified": "2026-06-17T07:43:12.690",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"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"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "product-security@silabs.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-3051",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-04-29T16:34:09.684748Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-04-26T22:15:08.263",
"references": [
{
"source": "product-security@silabs.com",
"url": "https://community.silabs.com/068Vm0000045w2j"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://community.silabs.com/068Vm0000045w2j"
}
],
"sourceIdentifier": "product-security@silabs.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-248"
},
{
"lang": "en",
"value": "CWE-419"
}
],
"source": "product-security@silabs.com",
"type": "Secondary"
}
]
}
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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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