CVE-2022-31188

Server-Side Request Forgery Vulnerability in Computer Vision Annotation Tool (CVAT)

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

cvat-ai · cvat

CVSS v3.1 NVD

9.8 CRITICALCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

CVSS v3.1 GITHUB

8.6 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L

EPSS

48.22% chance of exploitation in the next 30 days, 99th percentile

Published

2022-08-01

Updated

2025-04-22

Proof-of-concept exploits (2)

• http://packetstormsecurity.com/files/169814/CVAT-2.0-Server-Side-Request-Forgery.html
• emirpolatt/CVE-2022-311885★ · 2022-09-09

ExploitDB entries (1)

• https://www.exploit-db.com/exploits/51030

Security advisories

• cvat-ai/cvat/commit/6fad1764efd922d99dbcda28c4ee72d071aa5a07
• cvat-ai/cvat/security/advisories/GHSA-7vpj-j5xv-29pr

References

• CVE Record
• NVD entry

Related

• CVE-2022-36446