GSD-2022-29149
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Azure Open Management Infrastructure (OMI) Elevation of Privilege Vulnerability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-29149",
"description": "Azure Open Management Infrastructure (OMI) Elevation of Privilege Vulnerability.",
"id": "GSD-2022-29149"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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"CVE-2022-29149"
],
"details": "Azure Open Management Infrastructure (OMI) Elevation of Privilege Vulnerability.",
"id": "GSD-2022-29149",
"modified": "2023-12-13T01:19:41.824337Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
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}
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},
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},
{
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}
]
}
},
{
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}
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}
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},
{
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"version": {
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{
"version_affected": "\u003c",
"version_name": "16.0",
"version_value": "OMI Version 1.6.9-1"
}
]
}
},
{
"product_name": "System Center Operations Manager (SCOM) 2022",
"version": {
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{
"version_affected": "\u003c",
"version_name": "10.22.0",
"version_value": "10.22.1024.0"
}
]
}
},
{
"product_name": "System Center Operations Manager (SCOM) 2019",
"version": {
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{
"version_affected": "\u003c",
"version_name": "10.19.0",
"version_value": "10.19.1152.0"
}
]
}
},
{
"product_name": "System Center Operations Manager (SCOM) 2016",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "7.6.0",
"version_value": "7.6.1108.0"
}
]
}
}
]
},
"vendor_name": "Microsoft"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Azure Open Management Infrastructure (OMI) Elevation of Privilege Vulnerability"
}
]
},
"impact": {
"cvss": [
{
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"baseSeverity": "HIGH",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:P/RL:O/RC:C",
"version": "3.1"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Elevation of Privilege"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2022-29149",
"refsource": "MISC",
"url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2022-29149"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:microsoft:azure_automation_state_configuration:-:*:*:*:*:*:*:*",
"matchCriteriaId": "DEC617A6-F1BC-44DE-A9BB-BECF2E788B0E",
"vulnerable": true
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],
"descriptions": [
{
"lang": "en",
"value": "Azure Open Management Infrastructure (OMI) Elevation of Privilege Vulnerability"
},
{
"lang": "es",
"value": "Una Vulnerabilidad de Elevaci\u00f3n de Privilegios en Azure Open Management Infrastructure (OMI)"
}
],
"id": "CVE-2022-29149",
"lastModified": "2023-12-20T22:15:15.623",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.6,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
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"impactScore": 5.9,
"source": "secure@microsoft.com",
"type": "Primary"
}
]
},
"published": "2022-06-15T22:15:13.220",
"references": [
{
"source": "secure@microsoft.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2022-29149"
}
],
"sourceIdentifier": "secure@microsoft.com",
"vulnStatus": "Modified",
"weaknesses": [
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{
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"value": "NVD-CWE-noinfo"
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],
"source": "nvd@nist.gov",
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]
}
}
}
}
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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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