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)

Published · last modified .

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.

EPSS exploit prediction

EPSS: 0.482 (98.9th percentile), scored .

Moderate probability of exploitation in the next 30 days — watch for active exploitation reports. 99th percentile — 98.9% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS trend (30 days)EPSS over the last 30 days for CVE-2022-31188: held from 0.486 to 0.482.

EPSS over last 30 days · oldest: 0.486 · newest: 0.482 · change: -0.004

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

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.