FKIE_CVE-2020-24502
Vulnerability from fkie_nvd - Published: 2021-02-17 14:15 - Updated: 2026-06-17 03:05
Severity
Summary
Improper input validation in some Intel(R) Ethernet E810 Adapter drivers for Linux before version 1.0.4 and before version 1.4.29.0 for Windows*, may allow an authenticated user to potentially enable a denial of service via local access.
References
Impacted products
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"affected": [
{
"affectedData": [
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"product": "Intel(R) Ethernet E810 Adapter drivers for Linux before version 1.0.4 and",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "before version 1.0.4 and before version 1.4.29.0 for Windows"
}
]
}
],
"source": "secure@intel.com"
}
],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper input validation in some Intel(R) Ethernet E810 Adapter drivers for Linux before version 1.0.4 and before version 1.4.29.0 for Windows*, may allow an authenticated user to potentially enable a denial of service via local access."
},
{
"lang": "es",
"value": "Una comprobaci\u00f3n inapropiada de la entrada en algunos controladores Intel\u00ae Ethernet E810 Adapter para Linux versi\u00f3n anterior a 1.0.4 y versi\u00f3n anterior a 1.4.29.0 para Windows*, puede permitir a un usuario autenticado habilitar potencialmente una denegaci\u00f3n de servicio por medio de un acceso local"
}
],
"id": "CVE-2020-24502",
"lastModified": "2026-06-17T03:05:41.273",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
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"impactScore": 2.9,
"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
"type": "Primary",
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
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"userInteraction": "NONE",
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"published": "2021-02-17T14:15:18.297",
"references": [
{
"source": "secure@intel.com",
"tags": [
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"Vendor Advisory"
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"vulnStatus": "Modified",
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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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