Auth bypass in Cvat Computer Vision Annotation Tool
CVE-2024-47172
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.
Vulnerability class: Broken Access Control
EPSS: 0.003 (17.7th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 5.4 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N.
Affected products
- Cvat Computer_vision_annotation_tool
- Cvat-ai Cvat — versions >= 2.0.0, < 2.19.1
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC)
Frequently asked questions
- What is CVE-2024-47172?
- CVE-2024-47172 is a medium-severity vulnerability in Cvat Computer Vision Annotation Tool, classified under Incorrect Authorization. CVSS score: 5.4/10. Published 2024-09-30.
- How severe is CVE-2024-47172?
- Medium severity. CVSS v3 base score is 5.4 out of 10.
- Is CVE-2024-47172 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.