GSD-2018-20194
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
There is a stack-based buffer underflow in the third instance of the calculate_gain function in libfaad/sbr_hfadj.c in Freeware Advanced Audio Decoder 2 (FAAD2) 2.8.8. A crafted input will lead to a denial of service or possibly unspecified other impact because limiting the additional noise energy level is mishandled for the G_max <= G case.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-20194",
"description": "There is a stack-based buffer underflow in the third instance of the calculate_gain function in libfaad/sbr_hfadj.c in Freeware Advanced Audio Decoder 2 (FAAD2) 2.8.8. A crafted input will lead to a denial of service or possibly unspecified other impact because limiting the additional noise energy level is mishandled for the G_max \u003c= G case.",
"id": "GSD-2018-20194",
"references": [
"https://www.debian.org/security/2019/dsa-4522"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "There is a stack-based buffer underflow in the third instance of the calculate_gain function in libfaad/sbr_hfadj.c in Freeware Advanced Audio Decoder 2 (FAAD2) 2.8.8. A crafted input will lead to a denial of service or possibly unspecified other impact because limiting the additional noise energy level is mishandled for the G_max \u003c= G case.",
"id": "GSD-2018-20194",
"modified": "2023-12-13T01:22:29.398415Z",
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}
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"name": "https://github.com/knik0/faad2/issues/21",
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"url": "https://github.com/knik0/faad2/issues/21"
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"name": "[debian-lts-announce] 20190519 [SECURITY] [DLA 1791-1] faad2 security update",
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"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
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"exploitabilityScore": 1.8,
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}
},
"lastModifiedDate": "2020-06-15T18:15Z",
"publishedDate": "2018-12-18T01:29Z"
}
}
}
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
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Nomenclature
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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.
They have not been verified by an analyst and are provided for guidance only.
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.
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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