GSD-2016-10255
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The __libelf_set_rawdata_wrlock function in elf_getdata.c in elfutils before 0.168 allows remote attackers to cause a denial of service (crash) via a crafted (1) sh_off or (2) sh_size ELF header value, which triggers a memory allocation failure.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-10255",
"description": "The __libelf_set_rawdata_wrlock function in elf_getdata.c in elfutils before 0.168 allows remote attackers to cause a denial of service (crash) via a crafted (1) sh_off or (2) sh_size ELF header value, which triggers a memory allocation failure.",
"id": "GSD-2016-10255",
"references": [
"https://www.suse.com/security/cve/CVE-2016-10255.html",
"https://ubuntu.com/security/CVE-2016-10255",
"https://advisories.mageia.org/CVE-2016-10255.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "The __libelf_set_rawdata_wrlock function in elf_getdata.c in elfutils before 0.168 allows remote attackers to cause a denial of service (crash) via a crafted (1) sh_off or (2) sh_size ELF header value, which triggers a memory allocation failure.",
"id": "GSD-2016-10255",
"modified": "2023-12-13T01:21:26.262935Z",
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
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"attackVector": "LOCAL",
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"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.0"
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"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2018-06-07T01:29Z",
"publishedDate": "2017-03-23T16:59Z"
}
}
}
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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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