GSD-2023-33231
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
XSS attack was possible in DPA 2023.2 due to insufficient input validation
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-33231",
"id": "GSD-2023-33231"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-33231"
],
"details": "XSS attack was possible in DPA 2023.2 due to insufficient input validation",
"id": "GSD-2023-33231",
"modified": "2023-12-13T01:20:36.938128Z",
"schema_version": "1.4.0"
}
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{
"product": {
"product_data": [
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"product_name": "DPA",
"version": {
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}
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}
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},
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"credits": [
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"value": "Shashank Chaurasia"
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"impact": {
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"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/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)"
}
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},
{
"name": "https://documentation.solarwinds.com/en/success_center/dpa/content/release_notes/dpa_2023-2-100_release_notes.htm",
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"url": "https://documentation.solarwinds.com/en/success_center/dpa/content/release_notes/dpa_2023-2-100_release_notes.htm"
}
]
},
"solution": [
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"value": "\n\nAll SolarWinds Database Performance Analyzer customers are advised to upgrade to the latest version of the SolarWinds Database Performance Analyzer version 2023.2.100\u003cbr\u003e\n\n\u003cbr\u003e"
}
],
"value": "\nAll SolarWinds Database Performance Analyzer customers are advised to upgrade to the latest version of the SolarWinds Database Performance Analyzer version 2023.2.100\n\n\n\n"
}
],
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
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"nodes": [
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"description": {
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{
"name": "https://documentation.solarwinds.com/en/success_center/dpa/content/release_notes/dpa_2023-2-100_release_notes.htm",
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},
"impact": {
"baseMetricV3": {
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"attackVector": "NETWORK",
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"baseScore": 6.1,
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"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2023-08-03T21:15Z",
"publishedDate": "2023-07-18T17:15Z"
}
}
}
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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 |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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