FKIE_CVE-2026-10045
Vulnerability from fkie_nvd - Published: 2026-06-09 19:17 - Updated: 2026-07-23 09:10
Severity
Summary
Shenzhen Kangda Xin Intelligent Network Technology Company's router, model DR300, version 2.1.2.121, contains hardcoded login credentials and has telnet enabled by default on WAN and LAN interfaces. These vulnerabilities allow attackers to read and write to memory, modify firmware stored in flash, inspect active connections, and view currently connected devices.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "DR300",
"vendor": "Shenzhen Kangda Xin Intelligent Network Technology Co., Ltd",
"versions": [
{
"status": "affected",
"version": "2.1.2.121"
}
]
}
],
"source": "cret@cert.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Shenzhen Kangda Xin Intelligent Network Technology Company\u0027s router, model DR300, version 2.1.2.121, contains hardcoded login credentials and has telnet enabled by default on WAN and LAN interfaces. These vulnerabilities allow attackers to read and write to memory, modify firmware stored in flash, inspect active connections, and view currently connected devices."
},
{
"lang": "es",
"value": "El router de Shenzhen Kangda Xin Intelligent Network Technology Company, modelo DR300, versi\u00f3n 2.1.2.121, contiene credenciales de inicio de sesi\u00f3n codificadas de forma r\u00edgida y tiene telnet habilitado por defecto en las interfaces WAN y LAN. Estas vulnerabilidades permiten a los atacantes leer y escribir en la memoria, modificar el firmware almacenado en la memoria flash, inspeccionar las conexiones activas y ver los dispositivos actualmente conectados."
}
],
"id": "CVE-2026-10045",
"lastModified": "2026-07-23T09:10:00.113",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-10045",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-09T19:09:40.667720Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-09T19:17:31.760",
"references": [
{
"source": "cret@cert.org",
"url": "https://rubenabreu.xyz/post/temu-routers-and-their-implications"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://rubenabreu.xyz/post/temu-routers-and-their-implications"
}
],
"sourceIdentifier": "cret@cert.org",
"vulnStatus": "Deferred"
}
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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.
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