FKIE_CVE-2020-0559
Vulnerability from fkie_nvd - Published: 2020-08-13 04:15 - Updated: 2026-06-17 02:46
Severity
Summary
Insecure inherited permissions in some Intel(R) PROSet/Wireless WiFi products on Windows* 7 and 8.1 before version 21.40.5.1 may allow an authenticated user to potentially enable escalation of privilege via local access.
References
Impacted products
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"vendor": "n/a",
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}
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}
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Insecure inherited permissions in some Intel(R) PROSet/Wireless WiFi products on Windows* 7 and 8.1 before version 21.40.5.1 may allow an authenticated user to potentially enable escalation of privilege via local access."
},
{
"lang": "es",
"value": "Unos permisos heredados no seguros en algunos productos Intel\u00ae PROSet/Wireless WiFi en Windows* versiones 7 y 8.1 anteriores a versi\u00f3n 21.40.5.1, pueden permitir a un usuario autenticado habilitar potencialmente una escalada de privilegios por medio de un acceso local"
}
],
"id": "CVE-2020-0559",
"lastModified": "2026-06-17T02:46:03.990",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.6,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
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"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
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],
"cvssMetricV31": [
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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},
"published": "2020-08-13T04:15:12.913",
"references": [
{
"source": "secure@intel.com",
"tags": [
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"vulnStatus": "Modified",
"weaknesses": [
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{
"lang": "en",
"value": "CWE-732"
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],
"source": "nvd@nist.gov",
"type": "Primary"
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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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