GSD-2016-9107
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The OTR plugin for Gajim sends information in cleartext when using XHTML, which allows remote attackers to obtain sensitive information via unspecified vectors.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-9107",
"description": "The OTR plugin for Gajim sends information in cleartext when using XHTML, which allows remote attackers to obtain sensitive information via unspecified vectors.",
"id": "GSD-2016-9107",
"references": [
"https://www.suse.com/security/cve/CVE-2016-9107.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"aliases": [
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],
"details": "The OTR plugin for Gajim sends information in cleartext when using XHTML, which allows remote attackers to obtain sensitive information via unspecified vectors.",
"id": "GSD-2016-9107",
"modified": "2023-12-13T01:21:21.616077Z",
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}
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"name": "https://trac-plugins.gajim.org/changeset/c7c2e519ed63377bc943dd01c4661b0fe49321ae",
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{
"name": "https://dev.gajim.org/gajim/gajim-plugins/issues/145",
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"url": "https://dev.gajim.org/gajim/gajim-plugins/issues/145"
},
{
"name": "[oss-security] 20161030 Re: gajim otr plugin cleartext leak",
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"impact": {
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"acInsufInfo": true,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
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"exploitabilityScore": 3.9,
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}
},
"lastModifiedDate": "2017-01-18T20:49Z",
"publishedDate": "2017-01-13T16:59Z"
}
}
}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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They have not been verified by an analyst and are provided for guidance only.
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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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