Vulnerability Analysis
Server-Side Request Forgery Vulnerability in Computer Vision Annotation Tool (CVAT)
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.
No Active Exploit Signals
CVSS Base Score
8.6
HIGH
Exploitability:3.9
Impact Score:4.8
Temporal Score:-
EPSS:47.85%
Threat Intelligence Signals
CISA KEV
No
KEV Date Added
—
Ransomware Use
—
KEV Due Date
—
VulnCheck In-the-Wild
No
Nuclei Template
No
EPSS Score
47.846%
EPSS Percentile
98.7th pct
GHSA ID
—
GitHub Severity
—
SSVC Exploitation
—
SSVC Automatable
—
Vulnerability Class
—
Identity & Timeline
| Status | - |
| Assigning Authority | - |
| CVSS Version / Source | - |
| Reserved | - |
| Published | - |
| Patch Date (date_public) | - |
| Exploit DB Date | - |
| First GitHub PoC Date | - |
| Last Updated | - |
| Time to Patch (Days to fix) | - |
| Exploit Release Gap | - |
| PoC Release Gap | - |
| Exploit DB References | None identified |
Affected Products & Versions
| Vendor | Product | Affected Versions |
|---|---|---|
| No affected products specified. | ||
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