GSD-2006-3581
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Multiple stack-based buffer overflows in Audacious AdPlug 2.0 and earlier allow remote user-assisted attackers to execute arbitrary code via large (1) DTM and (2) S3M files.
Aliases
Aliases
{
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "HIGH",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:H/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 4.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": true,
"severity": "MEDIUM",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2018-10-18T16:48Z",
"publishedDate": "2006-07-13T19:05Z"
}
}
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- 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.
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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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