GSD-2022-36960
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
SolarWinds Platform was susceptible to Improper Input Validation. This vulnerability allows a remote adversary with valid access to SolarWinds Web Console to escalate user privileges.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-36960",
"description": "SolarWinds Platform was susceptible to Improper Input Validation. This vulnerability allows a remote adversary with valid access to SolarWinds Web Console to escalate user privileges.",
"id": "GSD-2022-36960"
},
"gsd": {
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2022-36960",
"modified": "2023-12-13T01:19:21.641862Z",
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"credits": [
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"value": "SolarWinds would like to thank Piotr Bazydlo (@chudypb) of Trend Micro Zero Day Initiative for reporting on the issue in a responsible manner."
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"integrityImpact": "HIGH",
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"solution": [
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"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eAll SolarWinds Platform customers are advised to upgrade to the latest version of the SolarWinds Platform version 2022.4\u003c/p\u003e"
}
],
"value": "All SolarWinds Platform customers are advised to upgrade to the latest version of the SolarWinds Platform version 2022.4\n\n"
}
],
"source": {
"discovery": "UNKNOWN"
}
},
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"references": {
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"name": "https://documentation.solarwinds.com/en/success_center/orionplatform/content/release_notes/solarwinds_platform_2022-4_release_notes.htm",
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"tags": [
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},
"impact": {
"baseMetricV3": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-08-03T21:15Z",
"publishedDate": "2022-11-29T21:15Z"
}
}
}
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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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