GSD-2024-22207
Vulnerability from gsd - Updated: 2024-01-08 06:02Details
fastify-swagger-ui is a Fastify plugin for serving Swagger UI. Prior to 2.1.0, the default configuration of `@fastify/swagger-ui` without `baseDir` set will lead to all files in the module's directory being exposed via http routes served by the module. The vulnerability is fixed in v2.1.0. Setting the `baseDir` option can also work around this vulnerability.
Aliases
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"id": "GSD-2024-22207",
"modified": "2024-01-08T06:02:13.834940Z",
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"value": "fastify-swagger-ui es un complemento de Fastify para servir la interfaz de usuario de Swagger. Antes de 2.1.0, la configuraci\u00f3n predeterminada de `@fastify/swagger-ui` sin `baseDir` configurado har\u00e1 que todos los archivos en el directorio del m\u00f3dulo queden expuestos a trav\u00e9s de rutas http servidas por el m\u00f3dulo. La vulnerabilidad se solucion\u00f3 en v2.1.0. Configurar la opci\u00f3n `baseDir` tambi\u00e9n puede solucionar esta vulnerabilidad."
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"lastModified": "2024-02-16T13:15:10.320",
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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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