GSD-2022-41918
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-41918",
"id": "GSD-2022-41918"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2022-41918",
"modified": "2023-12-13T01:19:33.172650Z",
"schema_version": "1.4.0"
}
},
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}
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},
"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"value": "CWE-863: Incorrect Authorization"
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"value": "CWE-612: Improper Authorization of Index Containing Sensitive Information"
}
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"source": {
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"discovery": "UNKNOWN"
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c1.3.7||\u003e=2.0.0 \u003c2.4.0",
"affected_versions": "All versions before 1.3.7, all versions starting from 2.0.0 before 2.4.0",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
"cwe_ids": [
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"CWE-937"
],
"date": "2023-06-27",
"description": "OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.",
"fixed_versions": [
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"2.4.0"
],
"identifier": "CVE-2022-41918",
"identifiers": [
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"GHSA-wmx7-x4jp-9jgg"
],
"not_impacted": "All versions starting from 1.3.7 before 2.0.0, all versions starting from 2.4.0",
"package_slug": "gem/opensearch",
"pubdate": "2022-11-15",
"solution": "Upgrade to versions 1.3.7, 2.4.0 or above.",
"title": "Incorrect Authorization",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-41918",
"https://github.com/opensearch-project/security/commit/f7cc569c9d3fa5d5432c76c854eed280d45ce6f4",
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"uuid": "3a0f5156-9ac4-486f-9e25-c630cd21182f"
},
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"cwe_ids": [
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"CWE-863",
"CWE-937"
],
"date": "2023-03-07",
"description": "OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.",
"fixed_versions": [
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],
"identifier": "CVE-2022-41918",
"identifiers": [
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"CVE-2022-41918"
],
"not_impacted": "All versions starting from 1.3.7 before 2.0.0, all versions starting from 2.4.0",
"package_slug": "maven/org.opensearch.plugin/opensearch-security",
"pubdate": "2023-03-07",
"solution": "Upgrade to versions 1.3.7, 2.4.0 or above.",
"title": "Incorrect Authorization",
"urls": [
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"https://nvd.nist.gov/vuln/detail/CVE-2022-41918",
"https://github.com/opensearch-project/security/commit/f7cc569c9d3fa5d5432c76c854eed280d45ce6f4",
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],
"uuid": "6a7939fe-e9de-4566-a06e-2901db54c8e6"
}
]
},
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"scope": "UNCHANGED",
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}
},
"lastModifiedDate": "2023-06-27T14:06Z",
"publishedDate": "2022-11-15T23:15Z"
}
}
}
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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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