CVE-2024-47064
MEDIUMCVAT 2.16.0-2.18.9 - Cross-Site Request Forgery via Malicious URL
Title source: llmDescription
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 (2)
Core 2
Core References
Vendor Advisory x_refsource_confirm
https://github.com/cvat-ai/cvat/security/advisories/GHSA-hp6c-f34j-qjj7
Patch x_refsource_misc
https://github.com/cvat-ai/cvat/commit/0bf45fd5de08a652dffbfb517318a64c2fdbc5cf
Scores
CVSS v3
6.1
EPSS
0.0029
EPSS Percentile
20.1%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
CISA SSVC
Vulnrichment
Exploitation
none
Automatable
no
Technical Impact
partial
Details
CWE
CWE-79
CWE-81
Status
published
Products (1)
cvat/computer_vision_annotation_tool
2.16.0 - 2.19.0
Published
Sep 30, 2024
Tracked Since
Feb 18, 2026