GSD-2005-4835
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The ath_rate_sample function in the ath_rate/sample/sample.c sample code in MadWifi before 0.9.3 allows remote attackers to cause a denial of service (failed KASSERT and system crash) by moving a connected system to a location with low signal strength, and possibly other vectors related to a race condition between interface enabling and packet transmission.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2005-4835",
"description": "The ath_rate_sample function in the ath_rate/sample/sample.c sample code in MadWifi before 0.9.3 allows remote attackers to cause a denial of service (failed KASSERT and system crash) by moving a connected system to a location with low signal strength, and possibly other vectors related to a race condition between interface enabling and packet transmission.",
"id": "GSD-2005-4835",
"references": [
"https://www.suse.com/security/cve/CVE-2005-4835.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "The ath_rate_sample function in the ath_rate/sample/sample.c sample code in MadWifi before 0.9.3 allows remote attackers to cause a denial of service (failed KASSERT and system crash) by moving a connected system to a location with low signal strength, and possibly other vectors related to a race condition between interface enabling and packet transmission.",
"id": "GSD-2005-4835",
"modified": "2023-12-13T01:20:09.222709Z",
"schema_version": "1.4.0"
}
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"name": "http://madwifi.org/ticket/287",
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},
{
"name": "MDKSA-2007:082",
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2008-09-10T19:54Z",
"publishedDate": "2005-12-31T05:00Z"
}
}
}
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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
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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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