GSD-2018-19505
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Remedy AR System Server in BMC Remedy 7.1 may fail to set the correct user context in certain impersonation scenarios, which can allow a user to act with the identity of a different user, because userdata.js in the WOI:WorkOrderConsole component allows a username substitution involving a UserData_Init call.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-19505",
"description": "Remedy AR System Server in BMC Remedy 7.1 may fail to set the correct user context in certain impersonation scenarios, which can allow a user to act with the identity of a different user, because userdata.js in the WOI:WorkOrderConsole component allows a username substitution involving a UserData_Init call.",
"id": "GSD-2018-19505",
"references": [
"https://packetstormsecurity.com/files/cve/CVE-2018-19505"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2018-19505",
"modified": "2023-12-13T01:22:39.198435Z",
"schema_version": "1.4.0"
}
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"url": "http://packetstormsecurity.com/files/150492/BMC-Remedy-7.1-User-Impersonation.html"
},
{
"name": "20181127 CVE-2018-19505 - Impersonation may lead to incorrect user context in Remedy AR System Server in BMC Remedy 7.1",
"refsource": "FULLDISC",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:P/A:N",
"version": "2.0"
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"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.0"
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"exploitabilityScore": 2.8,
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}
},
"lastModifiedDate": "2019-02-15T15:03Z",
"publishedDate": "2019-01-03T19:29Z"
}
}
}
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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 |
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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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