Vulnerabilites related to cvat - computer_vision_annotation_tool
Vulnerability from fkie_nvd
Published
2024-09-30 15:15
Modified
2024-10-30 18:24
Severity ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If a malicious CVAT user with permissions to either create a task, or edit an existing task can trick another logged-in user into visiting a maliciously-constructed URL, they can initiate any API calls on that user's behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| cvat | computer_vision_annotation_tool | * |
{
"configurations": [
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"cpeMatch": [
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"versionEndExcluding": "2.19.0",
"versionStartIncluding": "2.4.7",
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"descriptions": [
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"lang": "en",
"value": "Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If a malicious CVAT user with permissions to either create a task, or edit an existing task can trick another logged-in user into visiting a maliciously-constructed URL, they can initiate any API calls on that user\u0027s behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue."
},
{
"lang": "es",
"value": "Computer Vision Annotation Tool (CVAT) es una herramienta interactiva de anotaci\u00f3n de im\u00e1genes y videos para la visi\u00f3n artificial. Si un usuario malintencionado de CVAT con permisos para crear una tarea o editar una tarea existente puede enga\u00f1ar a otro usuario conectado para que visite una URL manipulada de forma malintencionada, puede iniciar cualquier llamada a la API en nombre de ese usuario. Esto le otorga al atacante acceso temporal a todos los datos a los que tiene acceso el usuario v\u00edctima. Actualice a CVAT 2.19.0 o una versi\u00f3n posterior para solucionar este problema."
}
],
"id": "CVE-2024-47063",
"lastModified": "2024-10-30T18:24:21.000",
"metrics": {
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"attackComplexity": "LOW",
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"modifiedAttackVector": "NOT_DEFINED",
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"modifiedSubsequentSystemAvailability": "NOT_DEFINED",
"modifiedSubsequentSystemConfidentiality": "NOT_DEFINED",
"modifiedSubsequentSystemIntegrity": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnerableSystemAvailability": "NOT_DEFINED",
"modifiedVulnerableSystemConfidentiality": "NOT_DEFINED",
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"recovery": "NOT_DEFINED",
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"published": "2024-09-30T15:15:06.293",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/cvat-ai/cvat/commit/75c3d573bc9468b718f53b442c2ef69ad1d5de12"
},
{
"source": "security-advisories@github.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/cvat-ai/cvat/security/advisories/GHSA-2c85-39cc-2px9"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2024-09-30 15:15
Modified
2024-10-30 18:23
Severity ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If an attacker can trick a logged-in CVAT user into visiting a maliciously-constructed URL, they can initiate any API calls on that user's behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| cvat | computer_vision_annotation_tool | * |
{
"configurations": [
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"cpeMatch": [
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"versionEndExcluding": "2.19.0",
"versionStartIncluding": "2.16.0",
"vulnerable": true
}
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"negate": false,
"operator": "OR"
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"descriptions": [
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"value": "Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If an attacker can trick a logged-in CVAT user into visiting a maliciously-constructed URL, they can initiate any API calls on that user\u0027s behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue."
},
{
"lang": "es",
"value": "Computer Vision Annotation Tool (CVAT) es una herramienta interactiva de anotaci\u00f3n de im\u00e1genes y videos para visi\u00f3n artificial. Si un atacante puede enga\u00f1ar a un usuario de CVAT que haya iniciado sesi\u00f3n para que visite una URL manipulada de forma malintencionada, puede iniciar cualquier llamada a la API en nombre de ese usuario. Esto le otorga al atacante acceso temporal a todos los datos a los que tiene acceso el usuario v\u00edctima. Actualice a CVAT 2.19.0 o una versi\u00f3n posterior para solucionar este problema. "
}
],
"id": "CVE-2024-47064",
"lastModified": "2024-10-30T18:23:17.020",
"metrics": {
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"version": "4.0",
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]
},
"published": "2024-09-30T15:15:06.413",
"references": [
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"tags": [
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"url": "https://github.com/cvat-ai/cvat/commit/0bf45fd5de08a652dffbfb517318a64c2fdbc5cf"
},
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}
],
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"value": "CWE-79"
},
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"lang": "en",
"value": "CWE-81"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2024-06-13 15:15
Modified
2025-01-21 14:35
Severity ?
7.1 (High) - CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:L/I:H/A:N
8.5 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:H/A:N
8.5 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:H/A:N
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. CVAT allows users to supply custom endpoint URLs for cloud storages based on Amazon S3 and Azure Blob Storage. Starting in version 2.1.0 and prior to version 2.14.3, an attacker with a CVAT account can exploit this feature by specifying URLs whose host part is an intranet IP address or an internal domain name. By doing this, the attacker may be able to probe the network that the CVAT backend runs in for HTTP(S) servers. In addition, if there is a web server on this network that is sufficiently API-compatible with an Amazon S3 or Azure Blob Storage endpoint, and either allows anonymous access, or allows authentication with credentials that are known by the attacker, then the attacker may be able to create a cloud storage linked to this server. They may then be able to list files on the server; extract files from the server, if these files are of a type that CVAT supports reading from cloud storage (media data (such as images/videos/archives), importable annotations or datasets, task/project backups); and/or overwrite files on this server with exported annotations/datasets/backups. The exact capabilities of the attacker will depend on how the internal server is configured. Users should upgrade to CVAT 2.14.3 to receive a patch. In this release, the existing SSRF mitigation measures are applied to requests to cloud providers, with access to intranet IP addresses prohibited by default. Some workarounds are also available. One may use network security solutions such as virtual networks or firewalls to prohibit network access from the CVAT backend to unrelated servers on your internal network and/or require authentication for access to internal servers.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| cvat | computer_vision_annotation_tool | * |
{
"configurations": [
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{
"cpeMatch": [
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"criteria": "cpe:2.3:a:cvat:computer_vision_annotation_tool:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "2.14.3",
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}
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"value": "Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. CVAT allows users to supply custom endpoint URLs for cloud storages based on Amazon S3 and Azure Blob Storage. Starting in version 2.1.0 and prior to version 2.14.3, an attacker with a CVAT account can exploit this feature by specifying URLs whose host part is an intranet IP address or an internal domain name. By doing this, the attacker may be able to probe the network that the CVAT backend runs in for HTTP(S) servers. In addition, if there is a web server on this network that is sufficiently API-compatible with an Amazon S3 or Azure Blob Storage endpoint, and either allows anonymous access, or allows authentication with credentials that are known by the attacker, then the attacker may be able to create a cloud storage linked to this server. They may then be able to list files on the server; extract files from the server, if these files are of a type that CVAT supports reading from cloud storage (media data (such as images/videos/archives), importable annotations or datasets, task/project backups); and/or overwrite files on this server with exported annotations/datasets/backups. The exact capabilities of the attacker will depend on how the internal server is configured. Users should upgrade to CVAT 2.14.3 to receive a patch. In this release, the existing SSRF mitigation measures are applied to requests to cloud providers, with access to intranet IP addresses prohibited by default. Some workarounds are also available. One may use network security solutions such as virtual networks or firewalls to prohibit network access from the CVAT backend to unrelated servers on your internal network and/or require authentication for access to internal servers."
},
{
"lang": "es",
"value": "Computer Vision Annotation Tool (CVAT) es una herramienta interactiva de anotaci\u00f3n de im\u00e1genes y videos para visi\u00f3n por computadora. CVAT permite a los usuarios proporcionar URL de endpoints personalizados para almacenamientos en la nube basados en Amazon S3 y Azure Blob Storage. A partir de la versi\u00f3n 2.1.0 y antes de la versi\u00f3n 2.14.3, un atacante con una cuenta CVAT puede aprovechar esta caracter\u00edstica especificando URL cuya parte del host sea una direcci\u00f3n IP de intranet o un nombre de dominio interno. Al hacer esto, el atacante puede sondear la red en la que se ejecuta el backend CVAT en busca de servidores HTTP(S). Adem\u00e1s, si hay un servidor web en esta red que es suficientemente compatible con API con un endpoint de Amazon S3 o Azure Blob Storage y permite el acceso an\u00f3nimo o permite la autenticaci\u00f3n con credenciales conocidas por el atacante, entonces el atacante puede poder crear un almacenamiento en la nube vinculado a este servidor. Luego podr\u00e1n enumerar archivos en el servidor; extraer archivos del servidor, si estos archivos son de un tipo que CVAT admite la lectura desde el almacenamiento en la nube (datos multimedia (como im\u00e1genes/videos/archivos), anotaciones o conjuntos de datos importables, copias de seguridad de tareas/proyectos); y/o sobrescribir archivos en este servidor con anotaciones/conjuntos de datos/copias de seguridad exportados. Las capacidades exactas del atacante depender\u00e1n de c\u00f3mo est\u00e9 configurado el servidor interno. Los usuarios deben actualizar a CVAT 2.14.3 para recibir un parche. En esta versi\u00f3n, las medidas de mitigaci\u00f3n SSRF existentes se aplican a las solicitudes a proveedores de nube, y el acceso a direcciones IP de intranet est\u00e1 prohibido de forma predeterminada. Tambi\u00e9n hay algunas soluciones disponibles. Se pueden utilizar soluciones de seguridad de red, como redes virtuales o firewalls, para prohibir el acceso a la red desde el backend de CVAT a servidores no relacionados en su red interna y/o requerir autenticaci\u00f3n para acceder a los servidores internos."
}
],
"id": "CVE-2024-37164",
"lastModified": "2025-01-21T14:35:52.867",
"metrics": {
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}
Vulnerability from fkie_nvd
Published
2024-09-10 15:15
Modified
2025-01-21 14:33
Severity ?
6.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N
6.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N
6.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with a CVAT account can access webhook delivery information for any webhook registered on the CVAT instance, including that of other users. For each delivery, this contains information about the event that caused the delivery, typically including full details about the object on which an action was performed (such as the task for an "update:task" event), and the user who performed the action. In addition, the attacker can redeliver any past delivery of any webhook, and trigger a ping event for any webhook. Upgrade to CVAT 2.18.0 or any later version.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| cvat | computer_vision_annotation_tool | * |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
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"criteria": "cpe:2.3:a:cvat:computer_vision_annotation_tool:*:*:*:*:*:*:*:*",
"matchCriteriaId": "64FBBA01-CF76-4A84-9DE0-4F96B8BEC0D5",
"versionEndExcluding": "2.18.0",
"versionStartIncluding": "2.3.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with a CVAT account can access webhook delivery information for any webhook registered on the CVAT instance, including that of other users. For each delivery, this contains information about the event that caused the delivery, typically including full details about the object on which an action was performed (such as the task for an \"update:task\" event), and the user who performed the action. In addition, the attacker can redeliver any past delivery of any webhook, and trigger a ping event for any webhook. Upgrade to CVAT 2.18.0 or any later version."
},
{
"lang": "es",
"value": "Computer Vision Annotation Tool (CVAT) es una herramienta interactiva de anotaci\u00f3n de im\u00e1genes y videos para visi\u00f3n artificial. Un atacante con una cuenta CVAT puede acceder a la informaci\u00f3n de entrega de webhook para cualquier webhook registrado en la instancia CVAT, incluido el de otros usuarios. Para cada entrega, esto contiene informaci\u00f3n sobre el evento que caus\u00f3 la entrega, que generalmente incluye detalles completos sobre el objeto en el que se realiz\u00f3 una acci\u00f3n (como la tarea para un evento \"update:task\") y el usuario que realiz\u00f3 la acci\u00f3n. Adem\u00e1s, el atacante puede volver a entregar cualquier entrega anterior de cualquier webhook y activar un evento ping para cualquier webhook. Actualice a CVAT 2.18.0 o cualquier versi\u00f3n posterior."
}
],
"id": "CVE-2024-45393",
"lastModified": "2025-01-21T14:33:37.030",
"metrics": {
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"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
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},
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"impactScore": 2.7,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
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},
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"published": "2024-09-10T15:15:18.657",
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],
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"value": "CWE-862"
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"type": "Secondary"
},
{
"description": [
{
"lang": "en",
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],
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"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2024-09-30 15:15
Modified
2024-10-30 18:20
Severity ?
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with a CVAT account may retrieve certain information about any project, task, job or membership resource on the CVAT instance. The information exposed in this way is the same as the information returned on a GET request to the resource. In addition, the attacker can also alter the default source and target storage associated with any project or task. Upgrade to CVAT 2.19.1 or any later version to fix the issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| cvat | computer_vision_annotation_tool | * |
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}
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"id": "CVE-2024-47172",
"lastModified": "2024-10-30T18:20:58.270",
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}
Vulnerability from fkie_nvd
Published
2024-06-13 15:15
Modified
2025-01-21 14:37
Severity ?
7.1 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N
7.1 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N
7.1 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Starting in version 2.2.0 and prior to version 2.14.3, if an attacker can trick a logged-in CVAT user into visiting a malicious URL, they can initiate a dataset export or a backup from a project, task or job that the victim user has permission to export into a cloud storage that the victim user has access to. The name of the resulting file can be chosen by the attacker. This implies that the attacker can overwrite arbitrary files in any cloud storage that the victim can access and, if the attacker has read access to the cloud storage used in the attack, they can obtain media files, annotations, settings and other information from any projects, tasks or jobs that the victim has permission to export. Version 2.14.3 contains a fix for the issue. No known workarounds are available.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| cvat | computer_vision_annotation_tool | * |
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Vulnerability from fkie_nvd
Published
2021-12-14 19:15
Modified
2025-02-04 20:15
Severity ?
9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
Summary
It was found that the fix to address CVE-2021-44228 in Apache Log4j 2.15.0 was incomplete in certain non-default configurations. This could allows attackers with control over Thread Context Map (MDC) input data when the logging configuration uses a non-default Pattern Layout with either a Context Lookup (for example, $${ctx:loginId}) or a Thread Context Map pattern (%X, %mdc, or %MDC) to craft malicious input data using a JNDI Lookup pattern resulting in an information leak and remote code execution in some environments and local code execution in all environments. Log4j 2.16.0 (Java 8) and 2.12.2 (Java 7) fix this issue by removing support for message lookup patterns and disabling JNDI functionality by default.
References
Impacted products
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"value": "It was found that the fix to address CVE-2021-44228 in Apache Log4j 2.15.0 was incomplete in certain non-default configurations. This could allows attackers with control over Thread Context Map (MDC) input data when the logging configuration uses a non-default Pattern Layout with either a Context Lookup (for example, $${ctx:loginId}) or a Thread Context Map pattern (%X, %mdc, or %MDC) to craft malicious input data using a JNDI Lookup pattern resulting in an information leak and remote code execution in some environments and local code execution in all environments. Log4j 2.16.0 (Java 8) and 2.12.2 (Java 7) fix this issue by removing support for message lookup patterns and disabling JNDI functionality by default."
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"value": "Se descubri\u00f3 que la correcci\u00f3n para abordar CVE-2021-44228 en Apache Log4j versiones 2.15.0 estaba incompleta en ciertas configuraciones no predeterminadas. Esto podr\u00eda permitir a los atacantes con control sobre los datos de entrada de Thread Context Map (MDC) cuando la configuraci\u00f3n de registro utiliza un Pattern Layout no predeterminado con un Context Lookup (por ejemplo, $${ctx:loginId}) o un Thread Context Map pattern (%X, %mdc, o %MDC) para elaborar datos de entrada maliciosos utilizando un patr\u00f3n JNDI Lookup que resulta en una fuga de informaci\u00f3n y ejecuci\u00f3n de c\u00f3digo remoto en algunos entornos y ejecuci\u00f3n de c\u00f3digo local en todos los entornos. Log4j versiones 2.16.0 (Java 8) y 2.12.2 (Java 7) solucionan este problema eliminando el soporte para los patrones de b\u00fasqueda de mensajes y deshabilitando la funcionalidad JNDI por defecto"
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cve-2024-37164
Vulnerability from cvelistv5
Published
2024-06-13 14:10
Modified
2024-08-02 03:50
Severity ?
EPSS score ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. CVAT allows users to supply custom endpoint URLs for cloud storages based on Amazon S3 and Azure Blob Storage. Starting in version 2.1.0 and prior to version 2.14.3, an attacker with a CVAT account can exploit this feature by specifying URLs whose host part is an intranet IP address or an internal domain name. By doing this, the attacker may be able to probe the network that the CVAT backend runs in for HTTP(S) servers. In addition, if there is a web server on this network that is sufficiently API-compatible with an Amazon S3 or Azure Blob Storage endpoint, and either allows anonymous access, or allows authentication with credentials that are known by the attacker, then the attacker may be able to create a cloud storage linked to this server. They may then be able to list files on the server; extract files from the server, if these files are of a type that CVAT supports reading from cloud storage (media data (such as images/videos/archives), importable annotations or datasets, task/project backups); and/or overwrite files on this server with exported annotations/datasets/backups. The exact capabilities of the attacker will depend on how the internal server is configured. Users should upgrade to CVAT 2.14.3 to receive a patch. In this release, the existing SSRF mitigation measures are applied to requests to cloud providers, with access to intranet IP addresses prohibited by default. Some workarounds are also available. One may use network security solutions such as virtual networks or firewalls to prohibit network access from the CVAT backend to unrelated servers on your internal network and/or require authentication for access to internal servers.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/cvat-ai/cvat/security/advisories/GHSA-q684-4jjh-83g6 | x_refsource_CONFIRM | |
| https://github.com/cvat-ai/cvat/commit/f2346934c80bd91740f55c2788ef7d535a291d4c | x_refsource_MISC |
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cve-2024-47063
Vulnerability from cvelistv5
Published
2024-09-30 14:45
Modified
2024-09-30 16:39
Severity ?
EPSS score ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If a malicious CVAT user with permissions to either create a task, or edit an existing task can trick another logged-in user into visiting a maliciously-constructed URL, they can initiate any API calls on that user's behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/cvat-ai/cvat/security/advisories/GHSA-2c85-39cc-2px9 | x_refsource_CONFIRM | |
| https://github.com/cvat-ai/cvat/commit/75c3d573bc9468b718f53b442c2ef69ad1d5de12 | x_refsource_MISC |
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cve-2021-45046
Vulnerability from cvelistv5
Published
2021-12-14 16:55
Modified
2025-02-13 16:28
Severity ?
EPSS score ?
Summary
It was found that the fix to address CVE-2021-44228 in Apache Log4j 2.15.0 was incomplete in certain non-default configurations. This could allows attackers with control over Thread Context Map (MDC) input data when the logging configuration uses a non-default Pattern Layout with either a Context Lookup (for example, $${ctx:loginId}) or a Thread Context Map pattern (%X, %mdc, or %MDC) to craft malicious input data using a JNDI Lookup pattern resulting in an information leak and remote code execution in some environments and local code execution in all environments. Log4j 2.16.0 (Java 8) and 2.12.2 (Java 7) fix this issue by removing support for message lookup patterns and disabling JNDI functionality by default.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Apache Software Foundation | Apache Log4j |
Version: Apache Log4j2 < 2.16.0 |
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cve-2024-37306
Vulnerability from cvelistv5
Published
2024-06-13 14:18
Modified
2024-08-02 03:50
Severity ?
EPSS score ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Starting in version 2.2.0 and prior to version 2.14.3, if an attacker can trick a logged-in CVAT user into visiting a malicious URL, they can initiate a dataset export or a backup from a project, task or job that the victim user has permission to export into a cloud storage that the victim user has access to. The name of the resulting file can be chosen by the attacker. This implies that the attacker can overwrite arbitrary files in any cloud storage that the victim can access and, if the attacker has read access to the cloud storage used in the attack, they can obtain media files, annotations, settings and other information from any projects, tasks or jobs that the victim has permission to export. Version 2.14.3 contains a fix for the issue. No known workarounds are available.
References
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|---|---|---|
| https://github.com/cvat-ai/cvat/security/advisories/GHSA-jpf9-646h-4px7 | x_refsource_CONFIRM | |
| https://github.com/cvat-ai/cvat/commit/5d36d10e493d92e893d7eae595544bcbe9cce1ce | x_refsource_MISC |
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cve-2024-47172
Vulnerability from cvelistv5
Published
2024-09-30 15:00
Modified
2024-09-30 15:45
Severity ?
EPSS score ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with a CVAT account may retrieve certain information about any project, task, job or membership resource on the CVAT instance. The information exposed in this way is the same as the information returned on a GET request to the resource. In addition, the attacker can also alter the default source and target storage associated with any project or task. Upgrade to CVAT 2.19.1 or any later version to fix the issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/cvat-ai/cvat/security/advisories/GHSA-gxhm-hg65-5gh2 | x_refsource_CONFIRM | |
| https://github.com/cvat-ai/cvat/commit/59ce6ca784a0d426b2cfb8cf2850ba1d520c03f5 | x_refsource_MISC |
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cve-2024-47064
Vulnerability from cvelistv5
Published
2024-09-30 14:57
Modified
2024-09-30 16:26
Severity ?
EPSS score ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If an attacker can trick a logged-in CVAT user into visiting a maliciously-constructed URL, they can initiate any API calls on that user's behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/cvat-ai/cvat/security/advisories/GHSA-hp6c-f34j-qjj7 | x_refsource_CONFIRM | |
| https://github.com/cvat-ai/cvat/commit/0bf45fd5de08a652dffbfb517318a64c2fdbc5cf | x_refsource_MISC |
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cve-2024-45393
Vulnerability from cvelistv5
Published
2024-09-10 15:04
Modified
2024-09-10 19:25
Severity ?
EPSS score ?
Summary
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with a CVAT account can access webhook delivery information for any webhook registered on the CVAT instance, including that of other users. For each delivery, this contains information about the event that caused the delivery, typically including full details about the object on which an action was performed (such as the task for an "update:task" event), and the user who performed the action. In addition, the attacker can redeliver any past delivery of any webhook, and trigger a ping event for any webhook. Upgrade to CVAT 2.18.0 or any later version.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/cvat-ai/cvat/security/advisories/GHSA-p3c9-m7jr-jxxj | x_refsource_CONFIRM | |
| https://github.com/cvat-ai/cvat/commit/0fafb797fdf022fb83ce81c6405ba19b583a236f | x_refsource_MISC |
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