Computer Vision Annotation Tool
Monthly
CVAT is an open source interactive video and image annotation tool for computer vision. [CVSS 8.8 HIGH]
CVAT is an open source interactive video and image annotation tool for computer vision. [CVSS 5.4 MEDIUM]
CVAT is an open source interactive video and image annotation tool for computer vision. Versions 2.2.0 through 2.39.0 have no validation during the import process of a project or task backup to check that the filename specified in the query parameter refers to a TUS-uploaded file belonging to the same user. As a result, if an attacker with a CVAT account and a `user` role knows the filenames of other users' uploads, they could potentially access and steal data by creating projects or tasks using those files. This issue does not affect annotation or dataset TUS uploads, since in this case object-specific temporary directories are used. Users should upgrade to CVAT 2.40.0 or a later version to receive a patch. No known workarounds are available.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, low attack complexity.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high severity (CVSS 8.7), this vulnerability is remotely exploitable, low attack complexity. This Deserialization of Untrusted Data vulnerability could allow attackers to execute arbitrary code through malicious serialized objects.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 5.4), this vulnerability is remotely exploitable, low attack complexity. This Incorrect Authorization vulnerability could allow attackers to bypass authorization checks to access restricted resources.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 6.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Cross-Site Scripting (XSS) vulnerability could allow attackers to inject malicious scripts into web pages viewed by other users.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 6.2), this vulnerability is remotely exploitable, low attack complexity. This Cross-Site Scripting (XSS) vulnerability could allow attackers to inject malicious scripts into web pages viewed by other users.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 6.4), this vulnerability is remotely exploitable, low attack complexity. This Missing Authorization vulnerability could allow attackers to access resources or perform actions without proper authorization checks.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high severity (CVSS 7.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Cross-Site Request Forgery (CSRF) vulnerability could allow attackers to trick authenticated users into performing unintended actions.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high severity (CVSS 8.5), this vulnerability is remotely exploitable, low attack complexity. This Server-Side Request Forgery (SSRF) vulnerability could allow attackers to make the server perform requests to unintended internal or external resources.
CVAT is an opensource interactive video and image annotation tool for computer vision. Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.
Apache Log4j2 contains a critical JNDI injection vulnerability known as 'Log4Shell' that allows unauthenticated remote code execution through crafted log messages, affecting virtually every Java application on Earth and triggering the largest vulnerability remediation effort in history.
CVAT is an open source interactive video and image annotation tool for computer vision. [CVSS 8.8 HIGH]
CVAT is an open source interactive video and image annotation tool for computer vision. [CVSS 5.4 MEDIUM]
CVAT is an open source interactive video and image annotation tool for computer vision. Versions 2.2.0 through 2.39.0 have no validation during the import process of a project or task backup to check that the filename specified in the query parameter refers to a TUS-uploaded file belonging to the same user. As a result, if an attacker with a CVAT account and a `user` role knows the filenames of other users' uploads, they could potentially access and steal data by creating projects or tasks using those files. This issue does not affect annotation or dataset TUS uploads, since in this case object-specific temporary directories are used. Users should upgrade to CVAT 2.40.0 or a later version to receive a patch. No known workarounds are available.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, low attack complexity.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high severity (CVSS 8.7), this vulnerability is remotely exploitable, low attack complexity. This Deserialization of Untrusted Data vulnerability could allow attackers to execute arbitrary code through malicious serialized objects.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 5.4), this vulnerability is remotely exploitable, low attack complexity. This Incorrect Authorization vulnerability could allow attackers to bypass authorization checks to access restricted resources.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 6.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Cross-Site Scripting (XSS) vulnerability could allow attackers to inject malicious scripts into web pages viewed by other users.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 6.2), this vulnerability is remotely exploitable, low attack complexity. This Cross-Site Scripting (XSS) vulnerability could allow attackers to inject malicious scripts into web pages viewed by other users.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated medium severity (CVSS 6.4), this vulnerability is remotely exploitable, low attack complexity. This Missing Authorization vulnerability could allow attackers to access resources or perform actions without proper authorization checks.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high severity (CVSS 7.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Cross-Site Request Forgery (CSRF) vulnerability could allow attackers to trick authenticated users into performing unintended actions.
Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Rated high severity (CVSS 8.5), this vulnerability is remotely exploitable, low attack complexity. This Server-Side Request Forgery (SSRF) vulnerability could allow attackers to make the server perform requests to unintended internal or external resources.
CVAT is an opensource interactive video and image annotation tool for computer vision. Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.
Apache Log4j2 contains a critical JNDI injection vulnerability known as 'Log4Shell' that allows unauthenticated remote code execution through crafted log messages, affecting virtually every Java application on Earth and triggering the largest vulnerability remediation effort in history.