GSD-2018-10854
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
cloudforms version, cloudforms 5.8 and cloudforms 5.9, is vulnerable to a cross-site-scripting. A flaw was found in CloudForms's v2v infrastructure mapping delete feature. A stored cross-site scripting due to improper sanitization of user input in Name field.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-10854",
"description": "cloudforms version, cloudforms 5.8 and cloudforms 5.9, is vulnerable to a cross-site-scripting. A flaw was found in CloudForms\u0027s v2v infrastructure mapping delete feature. A stored cross-site scripting due to improper sanitization of user input in Name field.",
"id": "GSD-2018-10854",
"references": [
"https://access.redhat.com/errata/RHSA-2019:2587"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2018-10854",
"modified": "2023-12-13T01:22:40.680908Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"product": {
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"version": {
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"version_affected": "=",
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}
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}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
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"refsource": "MISC",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2018-10854"
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},
"impact": {
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"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
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"severity": "LOW",
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}
},
"lastModifiedDate": "2023-02-13T04:51Z",
"publishedDate": "2019-11-22T12:15Z"
}
}
}
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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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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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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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