FKIE_CVE-2026-75809
Vulnerability from fkie_nvd - Published: 2026-09-08 03:17 - Updated: 2026-09-28 23:10
Severity
Summary
Exposed IOCTL with insufficient access control in ASUS Armoury Crate allows a local user to disclosure information and disabling device functionality by bypassing driver authentication and using IOCTLs to read from and write to PCIe configuration space.Refer to the '
Security Update for Armoury Crate App ' section on the ASUS Security Advisory for more information.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Armoury Crate",
"vendor": "ASUS",
"versions": [
{
"status": "affected",
"version": "through 6.5.7",
"versionType": "custom"
}
]
}
],
"source": "54bf65a7-a193-42d2-b1ba-8e150d3c35e1"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Exposed IOCTL with insufficient access control in ASUS\u00a0Armoury Crate allows a local user to disclosure information and disabling device functionality by bypassing driver authentication and using IOCTLs to read from and write to PCIe configuration space.Refer to the \u0027\nSecurity Update for Armoury Crate App\u00a0\u0027 section on the ASUS Security Advisory for more information."
},
{
"lang": "es",
"value": "IOCTL expuesto con control de acceso insuficiente en ASUS Armoury Crate permite a un usuario local divulgar informaci\u00f3n y deshabilitar la funcionalidad del dispositivo al eludir la autenticaci\u00f3n del controlador y utilizar IOCTLs para leer y escribir en el espacio de configuraci\u00f3n PCIe. Consulte la secci\u00f3n \u0027Security Update for Armoury Crate App\u0027 en el Aviso de Seguridad de ASUS para m\u00e1s informaci\u00f3n."
}
],
"id": "CVE-2026-75809",
"lastModified": "2026-09-28T23:10:00.143",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "HIGH",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:L/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "54bf65a7-a193-42d2-b1ba-8e150d3c35e1",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-75809",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-08T12:41:26.913442Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-08T03:17:18.763",
"references": [
{
"source": "54bf65a7-a193-42d2-b1ba-8e150d3c35e1",
"url": "https://www.asus.com/security-advisory"
}
],
"sourceIdentifier": "54bf65a7-a193-42d2-b1ba-8e150d3c35e1",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-782"
}
],
"source": "54bf65a7-a193-42d2-b1ba-8e150d3c35e1",
"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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