GSD-2011-1180
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Multiple stack-based buffer overflows in the iriap_getvaluebyclass_indication function in net/irda/iriap.c in the Linux kernel before 2.6.39 allow remote attackers to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging connectivity to an IrDA infrared network and sending a large integer value for a (1) name length or (2) attribute length.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2011-1180",
"description": "Multiple stack-based buffer overflows in the iriap_getvaluebyclass_indication function in net/irda/iriap.c in the Linux kernel before 2.6.39 allow remote attackers to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging connectivity to an IrDA infrared network and sending a large integer value for a (1) name length or (2) attribute length.",
"id": "GSD-2011-1180",
"references": [
"https://www.suse.com/security/cve/CVE-2011-1180.html",
"https://www.debian.org/security/2011/dsa-2264",
"https://www.debian.org/security/2011/dsa-2240"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "Multiple stack-based buffer overflows in the iriap_getvaluebyclass_indication function in net/irda/iriap.c in the Linux kernel before 2.6.39 allow remote attackers to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging connectivity to an IrDA infrared network and sending a large integer value for a (1) name length or (2) attribute length.",
"id": "GSD-2011-1180",
"modified": "2023-12-13T01:19:08.532879Z",
"schema_version": "1.4.0"
}
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"impact": {
"baseMetricV2": {
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2020-07-27T20:07Z",
"publishedDate": "2013-06-08T13:05Z"
}
}
}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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