GSD-2021-4038
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Cross Site Scripting (XSS) vulnerability in McAfee Network Security Manager (NSM) prior to 10.1 Minor 7 allows a remote authenticated administrator to embed a XSS in the administrator interface via specially crafted custom rules containing HTML. NSM did not correctly sanitize custom rule content in all scenarios.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-4038",
"description": "Cross Site Scripting (XSS) vulnerability in McAfee Network Security Manager (NSM) prior to 10.1 Minor 7 allows a remote authenticated administrator to embed a XSS in the administrator interface via specially crafted custom rules containing HTML. NSM did not correctly sanitize custom rule content in all scenarios.",
"id": "GSD-2021-4038"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-4038"
],
"details": "Cross Site Scripting (XSS) vulnerability in McAfee Network Security Manager (NSM) prior to 10.1 Minor 7 allows a remote authenticated administrator to embed a XSS in the administrator interface via specially crafted custom rules containing HTML. NSM did not correctly sanitize custom rule content in all scenarios.",
"id": "GSD-2021-4038",
"modified": "2023-12-13T01:23:11.471408Z",
"schema_version": "1.4.0"
}
},
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},
"affects": {
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{
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}
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}
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}
]
},
"generator": {
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},
"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
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"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N",
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"value": "CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)\t"
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"refsource": "CONFIRM",
"url": "https://kc.mcafee.com/corporate/index?page=content\u0026id=SB10375"
}
]
},
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
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"tags": [
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
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},
"lastModifiedDate": "2023-11-16T03:06Z",
"publishedDate": "2021-12-09T16:15Z"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not 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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