Server-Side Request Forgery Vulnerability in Computer Vision Annotation Tool (CVAT)
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Impact type
- —
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA.
Summary
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.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- Poc
- Automatable
- Yes
- Technical impact
- Partial
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
Remediation
- Fix · CNA cvat (cvat-ai) Fixed in 2.0.0
Timeline
- 2026-10-02 Threatist record created from CVE-2022-31188
References
More cvat-ai Computer Vision Annotation Tool vulnerabilities
- TI-2021-20393 Apache Log4j2 Thread Context Message Pattern and Context Lookup Pattern vulnerable to a denial of service attack KEVCVSS 3.1CRITICAL 9.0
- TI-2025-16854 CVAT allows remote code execution via tracker Nuclio functions CVSS 4.0HIGH 8.7
- TI-2026-18950 CVAT vulnerable to privilege escalation of users with staff status CVSS 4.0HIGH 8.5
- TI-2026-18940 CVAT vulnerable to XSS via skeleton SVG images CVSS 4.0HIGH 8.6
- TI-2024-24691 CVAT SSRF via custom cloud storage endpoints CVSS 3.1HIGH 8.5
- TI-2024-24818 CVAT's export and backup-related API endpoints are susceptible to CSRF CVSS 3.1HIGH 7.1
Sources
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences