FKIE_CVE-2018-9428
Vulnerability from fkie_nvd - Published: 2024-11-19 22:15 - Updated: 2026-06-17 02:06
Severity
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.4 (High) - CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
8.4 (High) - CVSS:3.1/
Summary
In startDevice of AAudioServiceStreamBase.cpp there is a possible out of bounds write due to a use after free. This could lead to local arbitrary code execution with no additional execution privileges needed. User interaction is needed for exploitation. https://source.android.com/security/bulletin/2018-07-01
References
| URL | Tags | ||
|---|---|---|---|
| security@android.com | https://source.android.com/security/bulletin/2018-07-01 | Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Android",
"vendor": "Google",
"versions": [
{
"status": "affected",
"version": "8.1"
}
]
}
],
"source": "security@android.com"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:o:google:android:-:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "android",
"vendor": "google",
"versions": [
{
"status": "affected",
"version": "8.1"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:google:android:8.1:*:*:*:*:*:*:*",
"matchCriteriaId": "B06BE74B-83F4-41A3-8AD3-2E6248F7B0B2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In startDevice of AAudioServiceStreamBase.cpp there is a possible out of bounds write due to a use after free. This could lead to local arbitrary code execution with no additional execution privileges needed. User interaction is needed for exploitation. https://source.android.com/security/bulletin/2018-07-01"
},
{
"lang": "es",
"value": "En startDevice de AAudioServiceStreamBase.cpp existe una posible escritura fuera de l\u00edmites debido a un uso despu\u00e9s de liberar. Esto podr\u00eda llevar a la ejecuci\u00f3n de c\u00f3digo arbitrario local sin necesidad de privilegios de ejecuci\u00f3n adicionales. Se requiere interacci\u00f3n del usuario para la explotaci\u00f3n. https://source.android.com/security/bulletin/2018-07-01"
}
],
"id": "CVE-2018-9428",
"lastModified": "2026-06-17T02:06:39.247",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 8.4,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.5,
"impactScore": 5.9,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2018-9428",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-11-20T15:24:49.168022Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-11-19T22:15:19.190",
"references": [
{
"source": "security@android.com",
"tags": [
"Vendor Advisory"
],
"url": "https://source.android.com/security/bulletin/2018-07-01"
}
],
"sourceIdentifier": "security@android.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-416"
},
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"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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