GSD-2016-1698
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The createCustomType function in extensions/renderer/resources/binding.js in the extension bindings in Google Chrome before 51.0.2704.79 does not validate module types, which might allow attackers to load arbitrary modules or obtain sensitive information by leveraging a poisoned definition.
Aliases
Aliases
{
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"alias": "CVE-2016-1698",
"description": "The createCustomType function in extensions/renderer/resources/binding.js in the extension bindings in Google Chrome before 51.0.2704.79 does not validate module types, which might allow attackers to load arbitrary modules or obtain sensitive information by leveraging a poisoned definition.",
"id": "GSD-2016-1698",
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"https://www.suse.com/security/cve/CVE-2016-1698.html",
"https://www.debian.org/security/2016/dsa-3594",
"https://access.redhat.com/errata/RHSA-2016:1201",
"https://advisories.mageia.org/CVE-2016-1698.html"
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"remediation": "unknown",
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"id": "GSD-2016-1698",
"modified": "2023-12-13T01:21:24.719977Z",
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
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"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
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"lastModifiedDate": "2018-10-30T16:27Z",
"publishedDate": "2016-06-05T23:59Z"
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}
}
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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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