GSD-2012-6395
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Cisco Adaptive Security Appliances (ASA) devices with firmware 8.4 do not properly validate unspecified input related to UNC share pathnames, which allows remote authenticated users to cause a denial of service (device crash) via unknown vectors, aka Bug ID CSCuc65775.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2012-6395",
"description": "Cisco Adaptive Security Appliances (ASA) devices with firmware 8.4 do not properly validate unspecified input related to UNC share pathnames, which allows remote authenticated users to cause a denial of service (device crash) via unknown vectors, aka Bug ID CSCuc65775.",
"id": "GSD-2012-6395"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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"CVE-2012-6395"
],
"details": "Cisco Adaptive Security Appliances (ASA) devices with firmware 8.4 do not properly validate unspecified input related to UNC share pathnames, which allows remote authenticated users to cause a denial of service (device crash) via unknown vectors, aka Bug ID CSCuc65775.",
"id": "GSD-2012-6395",
"modified": "2023-12-13T01:20:17.350932Z",
"schema_version": "1.4.0"
}
},
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},
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"url": "http://www.securitytracker.com/id/1028009"
},
{
"name": "20130112 Cisco Adaptive Security Appliance CIFS UNC Input Validation Issue",
"refsource": "CISCO",
"url": "http://tools.cisco.com/security/center/content/CiscoSecurityNotice/CVE-2012-6395"
}
]
}
},
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"cpe_name": [],
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"operator": "OR"
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "COMPLETE",
"baseScore": 6.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2023-08-15T14:28Z",
"publishedDate": "2013-01-18T21:55Z"
}
}
}
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Sightings
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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.
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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.
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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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