GSD-2015-7718
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
mediaserver in Android 5.x before 5.1.1 LMY48T and 6.0 before 2015-10-01 allows attackers to cause a denial of service (process crash) via unspecified vectors, aka internal bug 22278703, a different vulnerability than CVE-2015-6605.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2015-7718",
"description": "mediaserver in Android 5.x before 5.1.1 LMY48T and 6.0 before 2015-10-01 allows attackers to cause a denial of service (process crash) via unspecified vectors, aka internal bug 22278703, a different vulnerability than CVE-2015-6605.",
"id": "GSD-2015-7718"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "mediaserver in Android 5.x before 5.1.1 LMY48T and 6.0 before 2015-10-01 allows attackers to cause a denial of service (process crash) via unspecified vectors, aka internal bug 22278703, a different vulnerability than CVE-2015-6605.",
"id": "GSD-2015-7718",
"modified": "2023-12-13T01:20:01.145538Z",
"schema_version": "1.4.0"
}
},
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"acInsufInfo": true,
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
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"severity": "MEDIUM",
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}
},
"lastModifiedDate": "2015-10-07T18:50Z",
"publishedDate": "2015-10-06T17:59Z"
}
}
}
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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 |
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Nomenclature
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was 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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