FKIE_CVE-2025-67448
Vulnerability from fkie_nvd - Published: 2026-06-04 18:16 - Updated: 2026-07-22 20:10
Severity
Summary
The SMS module in Neterbit NW-431F Router 20241014-IR03 and before is vulnerable to stored XSS. The application does not properly sanitize user input in SMS messages before storing and displaying them. An attacker can send an SMS containing a malicious XSS payload, which will be executed in the context of the victim's browser when the message is viewed.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The SMS module in Neterbit NW-431F Router 20241014-IR03 and before is vulnerable to stored XSS. The application does not properly sanitize user input in SMS messages before storing and displaying them. An attacker can send an SMS containing a malicious XSS payload, which will be executed in the context of the victim\u0027s browser when the message is viewed."
},
{
"lang": "es",
"value": "El m\u00f3dulo SMS en el router Neterbit NW-431F 20241014-IR03 y anteriores es vulnerable a XSS almacenado. La aplicaci\u00f3n no sanea correctamente la entrada del usuario en los mensajes SMS antes de almacenarlos y mostrarlos. Un atacante puede enviar un SMS que contiene una carga \u00fatil XSS maliciosa, que se ejecutar\u00e1 en el contexto del navegador de la v\u00edctima cuando se visualice el mensaje."
}
],
"id": "CVE-2025-67448",
"lastModified": "2026-07-22T20:10:00.127",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "cve@mitre.org",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-67448",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-04T18:01:10.875813Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-04T18:16:27.853",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/fun-beep/CVEs/tree/main/CVE-2025-67448"
},
{
"source": "cve@mitre.org",
"url": "https://neterbit.com/"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/fun-beep/CVEs/tree/main/CVE-2025-67448"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"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.
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.
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