An Insecure Direct Object Reference (IDOR) vulnerability was identified in lunary-ai/lunary, affecting versions up to and including 1.2.2. This vulnerability allows unauthorized users to view, update, or delete any dataset_prompt or dataset_prompt_variation within any dataset or project. The issue stems from improper access control checks in the dataset management endpoints, where direct references to object IDs are not adequately secured against unauthorized access. This vulnerability was fixed in version 1.2.25.
The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor.
Access control involves the use of several protection mechanisms such as:
When any mechanism is not applied or otherwise fails, attackers can compromise the security of the product by gaining privileges, reading sensitive information, executing commands, evading detection, etc. There are two distinct behaviors that can introduce access control weaknesses: