SSRF in Cvat Computer Vision Annotation Tool
CVE-2022-31188
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.
Vulnerability class: SSRF (Server-Side Request Forgery)
EPSS: 0.486 (98.8th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 8.6 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L.
Affected products
- Cvat Computer_vision_annotation_tool
- Cvat-ai Cvat — versions < 2.0.0
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory)
- security-advisories@github.com (Exploit, VDB Entry, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-31188?
- CVE-2022-31188 is a high-severity vulnerability in Cvat Computer Vision Annotation Tool, classified under Server-Side Request Forgery (SSRF). CVSS score: 8.6/10. Published 2022-08-01.
- How severe is CVE-2022-31188?
- High severity. CVSS v3 base score is 8.6 out of 10.
- Is CVE-2022-31188 known to be exploited?
- 12 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.