GSD-2018-0850
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Microsoft Outlook 2007, Microsoft Outlook 2010, Microsoft Outlook 2013, Microsoft Outlook 2016, and Microsoft Office 2016 Click-to-Run allow an elevation of privilege vulnerability due to how the format of incoming message is validated, aka "Microsoft Outlook Elevation of Privilege Vulnerability".
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-0850",
"description": "Microsoft Outlook 2007, Microsoft Outlook 2010, Microsoft Outlook 2013, Microsoft Outlook 2016, and Microsoft Office 2016 Click-to-Run allow an elevation of privilege vulnerability due to how the format of incoming message is validated, aka \"Microsoft Outlook Elevation of Privilege Vulnerability\".",
"id": "GSD-2018-0850"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2018-0850"
],
"details": "Microsoft Outlook 2007, Microsoft Outlook 2010, Microsoft Outlook 2013, Microsoft Outlook 2016, and Microsoft Office 2016 Click-to-Run allow an elevation of privilege vulnerability due to how the format of incoming message is validated, aka \"Microsoft Outlook Elevation of Privilege Vulnerability\".",
"id": "GSD-2018-0850",
"modified": "2023-12-13T01:22:24.278144Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2018-02-13T00:00:00",
"ID": "CVE-2018-0850",
"STATE": "PUBLIC"
},
"affects": {
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{
"product": {
"product_data": [
{
"product_name": "Microsoft Outlook",
"version": {
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{
"version_value": "Microsoft Outlook 2007, Microsoft Outlook 2010, Microsoft Outlook 2013, Microsoft Outlook 2016, and Microsoft Office 2016 Click-to-Run"
}
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},
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}
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"refsource": "CONFIRM",
"url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2018-0850"
},
{
"name": "1040382",
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"url": "http://www.securitytracker.com/id/1040382"
},
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}
]
}
},
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"nodes": [
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"cpe_name": [],
"vulnerable": true
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},
{
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"cpe_name": [],
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},
{
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"cpe_name": [],
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{
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},
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2019-10-03T00:03Z",
"publishedDate": "2018-02-15T02:29Z"
}
}
}
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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
| Author | Source | Type | Date | Other |
|---|
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.
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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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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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