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CVE-2022-31188

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

Published: Aug 1, 2022Updated: Feb 20, 2026 Sources: CVE List NVD BDUCWE-918

Description

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.

CVSS Vector Breakdown

AV:NAC:LPR:NUI:NS:UC:HI:LA:L
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:NPrivileges Required
None
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:HConfidentiality
High
I:LIntegrity
Low
A:LAvailability
Low

Weaknesses

Affected Products

cvat-aioss-projectAI / MLaka cvat
opencv teamoss-projectAI / MLaka opencv, opencv-python, cvvat
cvatoss-projectAI / MLaka computer vision annotation tool

Attack Graph

Products CVE Techniques Tactics

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Exploitability

1 exploit source identified

Exploit details including PoC links, Metasploit modules, and scanner templates are available after registration.

View exploit details
Official Patch Available

MITRE ATT&CK

2 techniques
Command and Control
Initial Access
View detailed technique mapping

References

and 1 more references View all →

Timeline

Published
Aug 1, 2022
Last Updated
Feb 20, 2026

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