FKIE_CVE-2024-49407
Vulnerability from fkie_nvd - Published: 2024-11-06 03:15 - Updated: 2026-06-17 07:59
Severity
4.6 (Medium) - CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
4.6 (Medium) - CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
4.6 (Medium) - CVSS:3.1/
Summary
Improper access control in Samsung Flow prior to version 4.9.15.7 allows physical attackers to access data across multiple user profiles.
References
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"product": "Samsung Flow",
"vendor": "Samsung Mobile",
"versions": [
{
"status": "unaffected",
"version": "4.9.15.7"
}
]
}
],
"source": "mobile.security@samsung.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:samsung:flow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A9FC3998-0AB5-4566-A6DC-1C5FC0A53159",
"versionEndExcluding": "4.9.15.7",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper access control in Samsung Flow prior to version 4.9.15.7 allows physical attackers to access data across multiple user profiles."
},
{
"lang": "es",
"value": "El control de acceso inadecuado en Samsung Flow anterior a la versi\u00f3n 4.9.15.7 permite a atacantes f\u00edsicos acceder a datos de m\u00faltiples perfiles de usuario."
}
],
"id": "CVE-2024-49407",
"lastModified": "2026-06-17T07:59:51.003",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "PHYSICAL",
"availabilityImpact": "NONE",
"baseScore": 4.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 0.9,
"impactScore": 3.6,
"source": "mobile.security@samsung.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "PHYSICAL",
"availabilityImpact": "NONE",
"baseScore": 4.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 0.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-49407",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-11-06T11:12:35.354994Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-11-06T03:15:05.990",
"references": [
{
"source": "mobile.security@samsung.com",
"tags": [
"Vendor Advisory"
],
"url": "https://security.samsungmobile.com/serviceWeb.smsb?year=2024\u0026month=11"
}
],
"sourceIdentifier": "mobile.security@samsung.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"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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