FKIE_CVE-2022-39863
Vulnerability from fkie_nvd - Published: 2022-10-07 15:15 - Updated: 2026-06-17 04:58
Severity
3.6 (Low) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N
4.7 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N
4.7 (Medium) - CVSS:3.1/
Summary
Intent redirection vulnerability in Samsung Account prior to version 13.5.01.3 allows attackers to access content providers without permission.
References
{
"affected": [
{
"affectedData": [
{
"product": "Samsung Account",
"vendor": "Samsung Mobile",
"versions": [
{
"lessThan": "13.5.01.3",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "mobile.security@samsung.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:samsung:account:*:*:*:*:*:*:*:*",
"matchCriteriaId": "92550E46-EEA0-4AA5-B9CD-7328C2F98221",
"versionEndExcluding": "13.5.01.3",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Intent redirection vulnerability in Samsung Account prior to version 13.5.01.3 allows attackers to access content providers without permission."
},
{
"lang": "es",
"value": "Una vulnerabilidad de redireccionamiento de intenci\u00f3n en Samsung Account versiones anteriores a 13.5.01.3, permite a atacantes acceder a los proveedores de contenido sin permiso"
}
],
"id": "CVE-2022-39863",
"lastModified": "2026-06-17T04:58:27.173",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 3.6,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 1.4,
"source": "mobile.security@samsung.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-10-07T15:15:21.480",
"references": [
{
"source": "mobile.security@samsung.com",
"tags": [
"Vendor Advisory"
],
"url": "https://security.samsungmobile.com/serviceWeb.smsb?year=2022\u0026month=10"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://security.samsungmobile.com/serviceWeb.smsb?year=2022\u0026month=10"
}
],
"sourceIdentifier": "mobile.security@samsung.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "mobile.security@samsung.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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