GSD-2022-26331
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Potential vulnerabilities have been identified in Micro Focus ArcSight Logger. The vulnerabilities could be remotely exploited resulting in Information Disclosure, or Self Cross-Site Scripting (XSS). This issue affects: Micro Focus ArcSight Logger versions prior to v7.2.2 version and prior versions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-26331",
"description": "Potential vulnerabilities have been identified in Micro Focus ArcSight Logger. The vulnerabilities could be remotely exploited resulting in Information Disclosure, or Self Cross-Site Scripting (XSS). This issue affects: Micro Focus ArcSight Logger versions prior to v7.2.2 version and prior versions.",
"id": "GSD-2022-26331"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "Potential vulnerabilities have been identified in Micro Focus ArcSight Logger. The vulnerabilities could be remotely exploited resulting in Information Disclosure, or Self Cross-Site Scripting (XSS). This issue affects: Micro Focus ArcSight Logger versions prior to v7.2.2 version and prior versions.",
"id": "GSD-2022-26331",
"modified": "2023-12-13T01:19:39.417724Z",
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"value": "Micro Focus would like to give a special thanks to Michal Skowron for responsibly disclosing those vulnerabilities."
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"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
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"solution": [
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"value": "Micro Focus has made the following mitigation information available to resolve the vulnerabilities for the impacted versions of ArcSight Logger:\n\u2022\tLogger 7.2.2 https://www.microfocus.com/support/downloads/\n"
}
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"lastModifiedDate": "2022-09-06T18:49Z",
"publishedDate": "2022-08-31T16:15Z"
}
}
}
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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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