GSD-2021-21430
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec. Using `File.createTempFile` in JDK will result in creating and using insecure temporary files that can leave application and system data vulnerable to attacks. Auto-generated code (Java, Scala) that deals with uploading or downloading binary data through API endpoints will create insecure temporary files during the process. Affected generators: `java` (jersey2, okhttp-gson (default library)), `scala-finch`. The issue has been patched with `Files.createTempFile` and released in the v5.1.0 stable version.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-21430",
"description": "OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec. Using `File.createTempFile` in JDK will result in creating and using insecure temporary files that can leave application and system data vulnerable to attacks. Auto-generated code (Java, Scala) that deals with uploading or downloading binary data through API endpoints will create insecure temporary files during the process. Affected generators: `java` (jersey2, okhttp-gson (default library)), `scala-finch`. The issue has been patched with `Files.createTempFile` and released in the v5.1.0 stable version.",
"id": "GSD-2021-21430",
"references": [
"https://security.archlinux.org/CVE-2021-21430"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec. Using `File.createTempFile` in JDK will result in creating and using insecure temporary files that can leave application and system data vulnerable to attacks. Auto-generated code (Java, Scala) that deals with uploading or downloading binary data through API endpoints will create insecure temporary files during the process. Affected generators: `java` (jersey2, okhttp-gson (default library)), `scala-finch`. The issue has been patched with `Files.createTempFile` and released in the v5.1.0 stable version.",
"id": "GSD-2021-21430",
"modified": "2023-12-13T01:23:10.766626Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2021-21430",
"STATE": "PUBLIC",
"TITLE": "Creation of Temporary File in Directory with Insecure Permissions in auto-generated Java, Scala code"
},
"affects": {
"vendor": {
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{
"product": {
"product_data": [
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"product_name": "openapi-generator",
"version": {
"version_data": [
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}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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},
{
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},
"source": {
"advisory": "GHSA-cqxr-xf2w-943w",
"discovery": "UNKNOWN"
}
},
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"cwe_ids": [
"CWE-1035",
"CWE-668",
"CWE-937"
],
"date": "2022-10-24",
"description": "OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec. okhttp-gson (default library)), `scala-finch`.",
"fixed_versions": [
"5.1.1"
],
"identifier": "CVE-2021-21430",
"identifiers": [
"CVE-2021-21430",
"GHSA-cqxr-xf2w-943w"
],
"not_impacted": "All versions starting from 5.1.1",
"package_slug": "maven/org.openapitools/openapi-generator",
"pubdate": "2021-05-10",
"solution": "Upgrade to version 5.1.1 or above.",
"title": "Improper Privilege Management",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-21430"
],
"uuid": "88fb9c22-d769-4706-b0f3-7c21fd6da11c"
}
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
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"obtainOtherPrivilege": false,
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"severity": "LOW",
"userInteractionRequired": false
},
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"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
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"scope": "UNCHANGED",
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},
"lastModifiedDate": "2022-10-24T20:46Z",
"publishedDate": "2021-05-10T20:15Z"
}
}
}
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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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