GSD-2015-6760
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The Image11::map function in renderer/d3d/d3d11/Image11.cpp in libANGLE, as used in Google Chrome before 46.0.2490.71, mishandles mapping failures after device-lost events, which allows remote attackers to cause a denial of service (invalid read or write) or possibly have unspecified other impact via vectors involving a removed device.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2015-6760",
"description": "The Image11::map function in renderer/d3d/d3d11/Image11.cpp in libANGLE, as used in Google Chrome before 46.0.2490.71, mishandles mapping failures after device-lost events, which allows remote attackers to cause a denial of service (invalid read or write) or possibly have unspecified other impact via vectors involving a removed device.",
"id": "GSD-2015-6760",
"references": [
"https://www.suse.com/security/cve/CVE-2015-6760.html",
"https://www.debian.org/security/2015/dsa-3376",
"https://access.redhat.com/errata/RHSA-2015:1912",
"https://advisories.mageia.org/CVE-2015-6760.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2015-6760"
],
"details": "The Image11::map function in renderer/d3d/d3d11/Image11.cpp in libANGLE, as used in Google Chrome before 46.0.2490.71, mishandles mapping failures after device-lost events, which allows remote attackers to cause a denial of service (invalid read or write) or possibly have unspecified other impact via vectors involving a removed device.",
"id": "GSD-2015-6760",
"modified": "2023-12-13T01:20:04.779106Z",
"schema_version": "1.4.0"
}
},
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"nvd.nist.gov": {
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}
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"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
}
},
"lastModifiedDate": "2016-12-24T02:59Z",
"publishedDate": "2015-10-15T10:59Z"
}
}
}
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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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