GSD-2017-14160
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The bark_noise_hybridmp function in psy.c in Xiph.Org libvorbis 1.3.5 allows remote attackers to cause a denial of service (out-of-bounds access and application crash) or possibly have unspecified other impact via a crafted mp4 file.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-14160",
"description": "The bark_noise_hybridmp function in psy.c in Xiph.Org libvorbis 1.3.5 allows remote attackers to cause a denial of service (out-of-bounds access and application crash) or possibly have unspecified other impact via a crafted mp4 file.",
"id": "GSD-2017-14160",
"references": [
"https://www.suse.com/security/cve/CVE-2017-14160.html",
"https://advisories.mageia.org/CVE-2017-14160.html",
"https://ubuntu.com/security/CVE-2017-14160"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "The bark_noise_hybridmp function in psy.c in Xiph.Org libvorbis 1.3.5 allows remote attackers to cause a denial of service (out-of-bounds access and application crash) or possibly have unspecified other impact via a crafted mp4 file.",
"id": "GSD-2017-14160",
"modified": "2023-12-13T01:21:12.666045Z",
"schema_version": "1.4.0"
}
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"name": "[debian-lts-announce] 20191127 [SECURITY] [DLA 2013-1] libvorbis security update",
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
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"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2021-11-30T22:13Z",
"publishedDate": "2017-09-21T14:29Z"
}
}
}
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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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Related by attack behaviour
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