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CVE-2024-5389

Estado: ModificadaAlta (8.1)—

In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to create, update, get, and delete prompt variations for datasets not owned by their organization. This issue arises due to the application not properly validating the ownership of dataset prompts and their variations against the organization or project of the requesting user. As a result, unauthorized modifications to dataset prompts can occur, leading to altered or removed dataset prompts without proper authorization. This vulnerability impacts the integrity and consistency of dataset information, potentially affecting the results of experiments.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

Tecnologías afectadas (1)

CWE

Referencias

JSON original (NVD)

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  "id": "CVE-2024-5389",
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          "version": "2.0.3",
          "timestamp": "2024-06-10T12:43:35.194584Z"
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  "published": "2024-06-09T23:15:50.490",
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  "vulnStatus": "Modified",
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      "value": "In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to create, update, get, and delete prompt variations for datasets not owned by their organization. This issue arises due to the application not properly validating the ownership of dataset prompts and their variations against the organization or project of the requesting user. As a result, unauthorized modifications to dataset prompts can occur, leading to altered or removed dataset prompts without proper authorization. This vulnerability impacts the integrity and consistency of dataset information, potentially affecting the results of experiments."
    },
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      "lang": "es",
      "value": "En lunary-ai/lunary versión 1.2.13, una granularidad insuficiente de la vulnerabilidad de control de acceso permite a los usuarios crear, actualizar, obtener y eliminar variaciones rápidas para conjuntos de datos que no pertenecen a su organización. Este problema surge debido a que la aplicación no valida adecuadamente la propiedad de las solicitudes del conjunto de datos y sus variaciones con respecto a la organización o proyecto del usuario solicitante. Como resultado, pueden ocurrir modificaciones no autorizadas en las indicaciones del conjunto de datos, lo que lleva a modificaciones o eliminación de las indicaciones del conjunto de datos sin la autorización adecuada. Esta vulnerabilidad afecta la integridad y coherencia de la información del conjunto de datos, lo que podría afectar los resultados de los experimentos."
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  "lastModified": "2026-06-17T08:15:50.850",
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