FKIE_CVE-2025-14020
Vulnerability from fkie_nvd - Published: 2025-12-15 07:15 - Updated: 2026-10-07 19:10
Severity
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N
4.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
4.3 (Medium) - CVSS:3.1/
Summary
LINE client for Android versions prior to 14.20 contains a UI spoofing vulnerability in the in-app browser where the full-screen security Toast notification is not properly re-displayed when users return from another application, potentially allowing attackers to conduct phishing attacks by impersonating legitimate interfaces.
References
| URL | Tags | ||
|---|---|---|---|
| dl_cve@linecorp.com | https://hackerone.com/reports/2547989 | Permissions Required, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "LINE client for Android",
"vendor": "LINE Corporation",
"versions": [
{
"lessThan": "14.20",
"status": "affected",
"version": "10.0",
"versionType": "custom"
}
]
}
],
"source": "dl_cve@linecorp.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:linecorp:line:*:*:*:*:*:android:*:*",
"matchCriteriaId": "33F31182-C6E7-4A69-8CB3-3CC27B90C42A",
"versionEndExcluding": "14.20.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "LINE client for Android versions prior to 14.20 contains a UI spoofing vulnerability in the in-app browser where the full-screen security Toast notification is not properly re-displayed when users return from another application, potentially allowing attackers to conduct phishing attacks by impersonating legitimate interfaces."
},
{
"lang": "es",
"value": "El cliente de LINE para versiones de Android anteriores a la 14.20 contiene una vulnerabilidad de suplantaci\u00f3n de interfaz de usuario (UI) en el navegador integrado en la aplicaci\u00f3n, donde la notificaci\u00f3n Toast de seguridad en pantalla completa no se vuelve a mostrar correctamente cuando los usuarios regresan de otra aplicaci\u00f3n, lo que podr\u00eda permitir a los atacantes realizar ataques de phishing suplantando interfaces leg\u00edtimas."
}
],
"id": "CVE-2025-14020",
"lastModified": "2026-10-07T19:10:00.160",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.5,
"source": "dl_cve@linecorp.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-14020",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-15T15:52:00.170038Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-12-15T07:15:50.720",
"references": [
{
"source": "dl_cve@linecorp.com",
"tags": [
"Permissions Required",
"Third Party Advisory"
],
"url": "https://hackerone.com/reports/2547989"
}
],
"sourceIdentifier": "dl_cve@linecorp.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-451"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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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
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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.
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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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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.