GSD-2008-3066
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Stack-based buffer overflow in a certain ActiveX control in rjbdll.dll in RealNetworks RealPlayer Enterprise, RealPlayer 10, and RealPlayer 10.5 before build 6.0.12.1675 allows remote attackers to execute arbitrary code by importing a file into a media library and then deleting this file.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2008-3066",
"description": "Stack-based buffer overflow in a certain ActiveX control in rjbdll.dll in RealNetworks RealPlayer Enterprise, RealPlayer 10, and RealPlayer 10.5 before build 6.0.12.1675 allows remote attackers to execute arbitrary code by importing a file into a media library and then deleting this file.",
"id": "GSD-2008-3066"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"aliases": [
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],
"details": "Stack-based buffer overflow in a certain ActiveX control in rjbdll.dll in RealNetworks RealPlayer Enterprise, RealPlayer 10, and RealPlayer 10.5 before build 6.0.12.1675 allows remote attackers to execute arbitrary code by importing a file into a media library and then deleting this file.",
"id": "GSD-2008-3066",
"modified": "2023-12-13T01:23:05.259308Z",
"schema_version": "1.4.0"
}
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"url": "http://www.securityfocus.com/archive/1/494778/100/0/threaded"
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"url": "http://www.kb.cert.org/vuls/id/461187"
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{
"name": "http://service.real.com/realplayer/security/07252008_player/en/",
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"url": "http://service.real.com/realplayer/security/07252008_player/en/"
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.3,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 10.0,
"obtainAllPrivilege": true,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2018-10-30T16:25Z",
"publishedDate": "2008-07-28T17:41Z"
}
}
}
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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 confirmed: The user expressed doubt about the validity of the vulnerability.
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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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