CSRF in Cvat Computer Vision Annotation Tool
CVE-2024-37306
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.
Vulnerability class: CSRF (Cross-Site Request Forgery)
EPSS: 0.002 (10.6th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.1 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N.
Affected products
- Cvat Computer_vision_annotation_tool
- Cvat-ai Cvat — versions >= 2.2.0, < 2.14.3
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC)
Frequently asked questions
- What is CVE-2024-37306?
- CVE-2024-37306 is a high-severity vulnerability in Cvat Computer Vision Annotation Tool, classified under Cross-Site Request Forgery (CSRF). CVSS score: 7.1/10. Published 2024-06-13.
- How severe is CVE-2024-37306?
- High severity. CVSS v3 base score is 7.1 out of 10.