GSD-2023-33229
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The SolarWinds Platform was susceptible to the Incorrect Input Neutralization Vulnerability. This vulnerability allows a remote adversary with a valid SolarWinds Platform account to append URL parameters to inject passive HTML.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-33229",
"id": "GSD-2023-33229"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2023-33229",
"modified": "2023-12-13T01:20:36.305288Z",
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"credits": [
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"value": "SolarWinds would like to thank Juampa Rodriguez (@UnD3sc0n0c1d0) for reporting on the issue in a responsible manner."
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"impact": {
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"baseScore": 3.5,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
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}
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"name": "https://www.solarwinds.com/trust-center/security-advisories/cve-2023-33229",
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"solution": [
{
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"type": "text/html",
"value": "All SolarWinds Platform customers are advised to upgrade to the latest version of the SolarWinds Platform version 2023.3\u003cbr\u003e"
}
],
"value": "All SolarWinds Platform customers are advised to upgrade to the latest version of the SolarWinds Platform version 2023.3\n"
}
],
"source": {
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}
},
"nvd.nist.gov": {
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"vulnerable": true
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"description": {
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"references": {
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"tags": [
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"url": "https://documentation.solarwinds.com/en/success_center/orionplatform/content/release_notes/solarwinds_platform_2023-3_release_notes.htm"
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}
},
"impact": {
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"attackVector": "NETWORK",
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"integrityImpact": "LOW",
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"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N",
"version": "3.1"
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"exploitabilityScore": 2.1,
"impactScore": 1.4
}
},
"lastModifiedDate": "2023-10-30T19:42Z",
"publishedDate": "2023-07-26T15:15Z"
}
}
}
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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
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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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