FKIE_CVE-2023-22362
Vulnerability from fkie_nvd - Published: 2023-02-13 02:21 - Updated: 2026-06-17 05:35
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/
Summary
SUSHIRO App for Android outputs sensitive information to the log file, which may result in an attacker obtaining a credential information from the log file. Affected products/versions are as follows: SUSHIRO Ver.4.0.31, Thailand SUSHIRO Ver.1.0.0, Hong Kong SUSHIRO Ver.3.0.2, Singapore SUSHIRO Ver.2.0.0, and Taiwan SUSHIRO Ver.2.0.1
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| akindo-sushiro | hong_kong_sushiro | 3.0.3 | |
| akindo-sushiro | singapore_sushiro | 2.0.3 | |
| akindo-sushiro | sushiro | 4.0.31 | |
| akindo-sushiro | taiwan_sushiro | 2.0.3 | |
| akindo-sushiro | thailand_sushiro | 2.0.3 |
{
"affected": [
{
"affectedData": [
{
"product": "SUSHIRO App for Android",
"vendor": "AKINDO SUSHIRO CO., LTD.",
"versions": [
{
"status": "affected",
"version": "SUSHIRO Ver.4.0.31, Thailand SUSHIRO Ver.1.0.0, Hong Kong SUSHIRO Ver.3.0.2, Singapore SUSHIRO Ver.2.0.0, and Taiwan SUSHIRO Ver.2.0.1"
}
]
}
],
"source": "vultures@jpcert.or.jp"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:akindo-sushiro:hong_kong_sushiro:3.0.3:*:*:*:*:android:*:*",
"matchCriteriaId": "D0406FED-C1A3-479D-9AA7-53B415F70B11",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:akindo-sushiro:singapore_sushiro:2.0.3:*:*:*:*:android:*:*",
"matchCriteriaId": "A9ADD771-3484-4E19-A52E-AEE4F8943555",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:akindo-sushiro:sushiro:4.0.31:*:*:*:*:android:*:*",
"matchCriteriaId": "C912C42A-8D56-4197-B5EB-06BDD87EFF8F",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:akindo-sushiro:taiwan_sushiro:2.0.3:*:*:*:*:android:*:*",
"matchCriteriaId": "21C54BA1-A878-4A70-B16C-20EEF5F3D4EE",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:akindo-sushiro:thailand_sushiro:2.0.3:*:*:*:*:android:*:*",
"matchCriteriaId": "934D169B-2E13-47F4-BAB1-86BAB82E35B6",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "SUSHIRO App for Android outputs sensitive information to the log file, which may result in an attacker obtaining a credential information from the log file. Affected products/versions are as follows: SUSHIRO Ver.4.0.31, Thailand SUSHIRO Ver.1.0.0, Hong Kong SUSHIRO Ver.3.0.2, Singapore SUSHIRO Ver.2.0.0, and Taiwan SUSHIRO Ver.2.0.1"
}
],
"id": "CVE-2023-22362",
"lastModified": "2026-06-17T05:35:10.843",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2023-22362",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-03-21T14:30:48.588374Z",
"version": "2.0.3"
}
}
]
},
"published": "2023-02-13T02:21:07.360",
"references": [
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Third Party Advisory"
],
"url": "https://jvn.jp/en/jp/JVN84642320/"
},
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=hk.co.akindo_sushiro.sushiroapp"
},
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=jp.co.akindo_sushiro.sushiroapp"
},
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=sg.co.akindo_sushiro.sushiroapp"
},
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=th.co.akindo_sushiro.sushiroapp"
},
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=tw.co.akindo_sushiro.sushiroapp"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://jvn.jp/en/jp/JVN84642320/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=hk.co.akindo_sushiro.sushiroapp"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=jp.co.akindo_sushiro.sushiroapp"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=sg.co.akindo_sushiro.sushiroapp"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=th.co.akindo_sushiro.sushiroapp"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://play.google.com/store/apps/details?id=tw.co.akindo_sushiro.sushiroapp"
}
],
"sourceIdentifier": "vultures@jpcert.or.jp",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-532"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-532"
}
],
"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.
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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