FKIE_CVE-2024-5389
Vulnerability from fkie_nvd - Published: 2024-06-09 23:15 - Updated: 2024-11-21 09:47
Severity
Summary
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.
References
| URL | Tags | ||
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/3ca5309f-5615-4d5b-8043-968af220d7a2 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/3ca5309f-5615-4d5b-8043-968af220d7a2 | Exploit, Third Party Advisory |
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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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"value": "En lunary-ai/lunary versi\u00f3n 1.2.13, una granularidad insuficiente de la vulnerabilidad de control de acceso permite a los usuarios crear, actualizar, obtener y eliminar variaciones r\u00e1pidas para conjuntos de datos que no pertenecen a su organizaci\u00f3n. Este problema surge debido a que la aplicaci\u00f3n no valida adecuadamente la propiedad de las solicitudes del conjunto de datos y sus variaciones con respecto a la organizaci\u00f3n 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 eliminaci\u00f3n de las indicaciones del conjunto de datos sin la autorizaci\u00f3n adecuada. Esta vulnerabilidad afecta la integridad y coherencia de la informaci\u00f3n del conjunto de datos, lo que podr\u00eda afectar los resultados de los experimentos."
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"id": "CVE-2024-5389",
"lastModified": "2024-11-21T09:47:33.420",
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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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