GSD-2023-47882
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The Kami Vision YI IoT com.yunyi.smartcamera application through 4.1.9_20231127 for Android allows a remote attacker to execute arbitrary JavaScript code via an implicit intent to the com.ants360.yicamera.activity.WebViewActivity component.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-47882",
"id": "GSD-2023-47882"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-47882"
],
"details": "The Kami Vision YI IoT com.yunyi.smartcamera application through 4.1.9_20231127 for Android allows a remote attacker to execute arbitrary JavaScript code via an implicit intent to the com.ants360.yicamera.activity.WebViewActivity component.",
"id": "GSD-2023-47882",
"modified": "2023-12-13T01:20:51.619360Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2023-47882",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "The Kami Vision YI IoT com.yunyi.smartcamera application through 4.1.9_20231127 for Android allows a remote attacker to execute arbitrary JavaScript code via an implicit intent to the com.ants360.yicamera.activity.WebViewActivity component."
}
]
},
"problemtype": {
"problemtype_data": [
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"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://play.google.com/store/apps/details?id=com.yunyi.smartcamera",
"refsource": "MISC",
"url": "https://play.google.com/store/apps/details?id=com.yunyi.smartcamera"
},
{
"name": "https://github.com/actuator/yi/blob/main/CWE-319.md",
"refsource": "MISC",
"url": "https://github.com/actuator/yi/blob/main/CWE-319.md"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:kamivision:yi_iot:*:*:*:*:*:android:*:*",
"matchCriteriaId": "598CDC5D-A15E-496B-A32D-96AFE829677A",
"versionEndIncluding": "4.1.9_20231127",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "The Kami Vision YI IoT com.yunyi.smartcamera application through 4.1.9_20231127 for Android allows a remote attacker to execute arbitrary JavaScript code via an implicit intent to the com.ants360.yicamera.activity.WebViewActivity component."
},
{
"lang": "es",
"value": "La aplicaci\u00f3n Kami Vision YI IoT com.yunyi.smartcamera hasta 4.1.9_20231127 para Android permite a un atacante remoto ejecutar c\u00f3digo JavaScript arbitrario a trav\u00e9s de un intent impl\u00edcito en el componente com.ants360.yicamera.activity.WebViewActivity."
}
],
"id": "CVE-2023-47882",
"lastModified": "2024-01-09T20:06:32.880",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.2,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2023-12-27T21:15:08.147",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://github.com/actuator/yi/blob/main/CWE-319.md"
},
{
"source": "cve@mitre.org",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=com.yunyi.smartcamera"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"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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