GSD-2022-28889
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
In Apache Druid 0.22.1 and earlier, the server did not set appropriate headers to prevent clickjacking. Druid 0.23.0 and later prevent clickjacking using the Content-Security-Policy header.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-28889",
"description": "In Apache Druid 0.22.1 and earlier, the server did not set appropriate headers to prevent clickjacking. Druid 0.23.0 and later prevent clickjacking using the Content-Security-Policy header.",
"id": "GSD-2022-28889"
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2022-28889",
"modified": "2023-12-13T01:19:34.210860Z",
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}
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"cwe_ids": [
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"CWE-1035",
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],
"date": "2022-07-15",
"description": "In Apache Druid 0.22.1 and earlier, the server does not set appropriate headers to prevent clickjacking. Druid 0.23.0 and later prevent clickjacking using the `Content-Security-Policy` header.",
"fixed_versions": [
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"identifier": "CVE-2022-28889",
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"package_slug": "maven/org.apache.druid/druid",
"pubdate": "2022-07-07",
"solution": "Upgrade to version 0.23.0 or above.",
"title": "Improper Restriction of Rendered UI Layers or Frames",
"urls": [
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"impact": {
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"cvssV2": {
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"authentication": "NONE",
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"confidentialityImpact": "NONE",
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"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
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"obtainAllPrivilege": false,
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"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
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"attackVector": "NETWORK",
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"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N",
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},
"lastModifiedDate": "2022-07-15T02:47Z",
"publishedDate": "2022-07-07T19:15Z"
}
}
}
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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 |
|---|
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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