CVAT is an open source interactive video and image annotation tool for computer vision. From 2.17.0 until 2.72.0, a user with the Worker role can use predictable task-based request IDs with the lambda request retrieve and destroy endpoints to view automatic annotation requests for tasks or jobs the user cannot access and cancel requests initiated by other users. This issue is fixed in version 2.72.0.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
None
No additional conditions
Privileges Required
Low
Basic privileges needed
User Interaction
None
No user interaction needed
Impact Assessment
Confidentiality
Low
Partial data leak
Integrity
Low
Partial data modification
Availability
None
No disruption
CVSS Vector v4.0
Weakness Type (CWE)
Vulnerable Products
cvat-ai:cvat
References 4
https://github.com/cvat-ai/cvat/security/advisories/GHSA-m7p7-6w4m-886p
https://github.com/cvat-ai/cvat/security/advisories/GHSA-m7p7-6w4m-886p
https://github.com/cvat-ai/cvat/pull/10964
https://github.com/cvat-ai/cvat/pull/10964
https://github.com/cvat-ai/cvat/commit/20a1076a0b9de47e067b121e40f16d66d373b3f7
https://github.com/cvat-ai/cvat/commit/20a1076a0b9de47e067b121e40f16d66d373b3f7
https://github.com/cvat-ai/cvat/releases/tag/v2.72.0
https://github.com/cvat-ai/cvat/releases/tag/v2.72.0