FKIE_CVE-2026-104806
Vulnerability from fkie_nvd - Published: 2026-10-05 09:17 - Updated: 2026-10-06 15:18
Severity
Summary
DigitalCanion has discovered a path traversal vulnerability that allows an attacker to access files outside of the intended directory.
The specific flaw exists within the Maintenance → System Logs functionality of the web management portal listening on TCP port 443. The application fails to properly validate user-supplied file paths, allowing an attacker to manipulate the requested path and traverse the underlying directory structure.
By exploiting this vulnerability, an attacker can access and download files located outside the intended system logs directory, including potentially sensitive system and application files.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"platforms": [
"Linux"
],
"product": "Mitel MiVoice Office 400",
"vendor": "Mitel",
"versions": [
{
"status": "affected",
"version": "11.0.96.0"
}
]
}
],
"source": "vulnerability@ncsc.ch"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "DigitalCanion has discovered a path traversal vulnerability that allows an attacker to access files outside of the intended directory.\n\n\n\n\nThe specific flaw exists within the Maintenance \u2192 System Logs functionality of the web management portal listening on TCP port 443. The application fails to properly validate user-supplied file paths, allowing an attacker to manipulate the requested path and traverse the underlying directory structure.\n\n\n\n\nBy exploiting this vulnerability, an attacker can access and download files located outside the intended system logs directory, including potentially sensitive system and application files."
}
],
"id": "CVE-2026-104806",
"lastModified": "2026-10-06T15:18:12.170",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "YES",
"Recovery": "AUTOMATIC",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "PROOF_OF_CONCEPT",
"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": "HIGH",
"providerUrgency": "AMBER",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "DIFFUSE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/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:Y/R:A/V:D/RE:L/U:Amber",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "LOW"
},
"source": "vulnerability@ncsc.ch",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-104806",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-10-05T13:50:17.307733Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-10-05T09:17:09.540",
"references": [
{
"source": "vulnerability@ncsc.ch",
"url": "https://digitalcanion.com/en/security-research/#vendor=mitel\u0026status=cna"
}
],
"sourceIdentifier": "vulnerability@ncsc.ch",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-31"
}
],
"source": "vulnerability@ncsc.ch",
"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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