GSD-2004-1569
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Buffer overflow in (1) MusicConverter.exe, (2) playlist.exe, and (3) amp.exe in dBpowerAMP Audio Player 2.0 and dbPowerAmp Music Converter 10.0 allows remote attackers to cause a denial of service or execute arbitrary code via a .pls or .m3u playlist that contains long File1 (filename) fields.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2004-1569",
"description": "Buffer overflow in (1) MusicConverter.exe, (2) playlist.exe, and (3) amp.exe in dBpowerAMP Audio Player 2.0 and dbPowerAmp Music Converter 10.0 allows remote attackers to cause a denial of service or execute arbitrary code via a .pls or .m3u playlist that contains long File1 (filename) fields.",
"id": "GSD-2004-1569"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2004-1569"
],
"details": "Buffer overflow in (1) MusicConverter.exe, (2) playlist.exe, and (3) amp.exe in dBpowerAMP Audio Player 2.0 and dbPowerAmp Music Converter 10.0 allows remote attackers to cause a denial of service or execute arbitrary code via a .pls or .m3u playlist that contains long File1 (filename) fields.",
"id": "GSD-2004-1569",
"modified": "2023-12-13T01:22:56.808631Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"name": "20040930 dbPowerAmp Buffer Overflow And Dos Vulnerabilities",
"refsource": "BUGTRAQ",
"url": "http://marc.info/?l=bugtraq\u0026m=109668542406346\u0026w=2"
},
{
"name": "11266",
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"url": "http://www.securityfocus.com/bid/11266"
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{
"name": "dbpoweramp-converter-filename-bo(17539)",
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/17539"
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{
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{
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"description": {
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "HIGH",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:H/Au:N/C:N/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 4.9,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2017-07-11T01:31Z",
"publishedDate": "2004-12-31T05:00Z"
}
}
}
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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.
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- 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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