FKIE_CVE-2026-2541
Vulnerability from fkie_nvd - Published: 2026-02-15 11:15 - Updated: 2026-06-17 10:31
Severity
Summary
The Micca KE700 system relies on a 6-bit portion of an identifier for authentication within rolling codes, providing only 64 possible combinations. This low entropy allows an attacker to perform a brute-force attack against one component of the rolling code. Successful exploitation simplify an attacker to predict the next valid rolling code, granting unauthorized access to the vehicle.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"product": "Car Alarm System KE700",
"vendor": "Micca Auto Electronics Co., Ltd.",
"versions": [
{
"status": "affected",
"version": "KE700"
},
{
"status": "unknown",
"version": "KE700+"
}
]
}
],
"source": "cve@asrg.io"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Micca KE700 system relies on a 6-bit portion of an identifier for authentication within rolling codes, providing only 64 possible combinations. This low entropy allows an attacker to perform a brute-force attack against one component of the rolling code. Successful exploitation simplify an attacker to predict the next valid rolling code, granting unauthorized access to the vehicle."
},
{
"lang": "es",
"value": "El sistema Micca KE700 se basa en una porci\u00f3n de 6 bits de un identificador para la autenticaci\u00f3n dentro de c\u00f3digos rotatorios, lo que proporciona solo 64 combinaciones posibles. Esta baja entrop\u00eda permite a un atacante realizar un ataque de fuerza bruta contra un componente del c\u00f3digo rotatorio. La explotaci\u00f3n exitosa simplifica a un atacante predecir el siguiente c\u00f3digo rotatorio v\u00e1lido, lo que otorga acceso no autorizado al veh\u00edculo."
}
],
"id": "CVE-2026-2541",
"lastModified": "2026-06-17T10:31:16.630",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "ADJACENT",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 6.4,
"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": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "LOW",
"subIntegrityImpact": "LOW",
"userInteraction": "NONE",
"valueDensity": "DIFFUSE",
"vectorString": "CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:N/SC:L/SI:L/SA:H/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:D/RE:H/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "HIGH"
},
"source": "cve@asrg.io",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-2541",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-17T16:42:16.545829Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-02-15T11:15:55.223",
"references": [
{
"source": "cve@asrg.io",
"url": "https://asrg.io/security-advisories/cve-2026-2541/"
}
],
"sourceIdentifier": "cve@asrg.io",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-331"
}
],
"source": "cve@asrg.io",
"type": "Secondary"
}
]
}
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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
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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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