GSD-2015-8791
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The EbmlElement::ReadCodedSizeValue function in libEBML before 1.3.3 allows context-dependent attackers to obtain sensitive information from process heap memory via a crafted length value in an EBML id, which triggers an invalid memory access.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2015-8791",
"description": "The EbmlElement::ReadCodedSizeValue function in libEBML before 1.3.3 allows context-dependent attackers to obtain sensitive information from process heap memory via a crafted length value in an EBML id, which triggers an invalid memory access.",
"id": "GSD-2015-8791",
"references": [
"https://www.suse.com/security/cve/CVE-2015-8791.html",
"https://www.debian.org/security/2016/dsa-3538"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2015-8791",
"modified": "2023-12-13T01:20:03.891013Z",
"schema_version": "1.4.0"
}
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"impact": {
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"authentication": "NONE",
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"baseScore": 4.3,
"confidentialityImpact": "PARTIAL",
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"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
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"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N",
"version": "3.0"
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"exploitabilityScore": 2.8,
"impactScore": 1.4
}
},
"lastModifiedDate": "2016-12-03T03:14Z",
"publishedDate": "2016-01-29T19:59Z"
}
}
}
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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
| Author | Source | Type | Date | Other |
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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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