Description
CVAT is an opensource interactive video and image annotation tool for computer vision. Versions prior to 2.0.0 were found to be subject to a Server-side request forgery (SSRF) vulnerability. Validation has been added to urls used in the affected code path in version 2.0.0. Users are advised to upgrade. There are no known workarounds for this issue.
Affected products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| cvat-ai | cvat | < 2.0.0 | — |
Public exploits
Exploit or proof-of-concept code for this vulnerability is publicly available, which lowers the bar for attackers. Treat it as a reason to patch sooner.
Third-party code, not reviewed by us. Public PoCs are sometimes fake or contain malware. Read the code first and run it only in an isolated lab, against systems you are authorised to test.
Exploit-DB 1
- CVAT 2.0 - Server Side Request Forgery EDB-51030 · webapps · Nov 11, 2022
GitHub 1 repository
-
emirpolatt/CVE-2022-31188 ★ 5 · Sep 9, 2022
CVE-2022-31188 - OpenCV CVAT (Computer Vision Annotation Tool) SSRF
Sources: PoC-in-GitHub, Metasploit Framework, Exploit-DB — updated daily. Only links are listed; no exploit code is hosted here.