A Regular Expression Denial of Service (ReDoS) vulnerability exists in the lunary-ai/lunary application, version 1.2.10. An attacker can exploit this vulnerability by maliciously manipulating regular expressions, which can significantly impact the response time of the application and potentially render it completely non-functional. Specifically, the vulnerability can be triggered by sending a specially crafted request to the application, leading to a denial of service where the application crashes.

In lunary-ai/lunary version 1.2.2, an incorrect synchronization vulnerability allows unprivileged users to rename projects they do not have access to. Specifically, an unprivileged user can send a PATCH request to the project's endpoint with a new name for a project, despite not having the necessary permissions or being assigned to the project. This issue allows for unauthorized modification of project names, potentially leading to confusion or unauthorized access to project resources.

An Improper Access Control vulnerability exists in lunary-ai/lunary version 1.2.2, where users can view and update any prompts in any projects due to insufficient access control checks in the handling of PATCH and GET requests for template versions. This vulnerability allows unauthorized users to manipulate or access sensitive project data, potentially leading to data integrity and confidentiality issues.

In lunary-ai/lunary version 1.2.2, the DELETE endpoint located at `packages/backend/src/api/v1/datasets` is vulnerable to unauthorized dataset deletion due to missing authorization and authentication mechanisms. This vulnerability allows any user, even those without a valid token, to delete a dataset by sending a DELETE request to the endpoint. The issue was fixed in version 1.2.8. The impact of this vulnerability is significant as it permits unauthorized users to delete datasets, potentially leading to data loss or disruption of service.

lunary-ai/lunary is vulnerable to an authentication issue due to improper validation of email addresses during the signup process. Specifically, the server fails to treat email addresses as case insensitive, allowing the creation of multiple accounts with the same email address by varying the case of the email characters. For example, accounts for 'abc@gmail.com' and 'Abc@gmail.com' can both be created, leading to potential impersonation and confusion among users.

An incorrect authorization vulnerability exists in the lunary-ai/lunary repository, specifically within the evaluations.get route in the evaluations API endpoint. This vulnerability allows unauthorized users to retrieve the results of any organization's evaluation by simply knowing the evaluation ID, due to the lack of project ID verification in the SQL query. As a result, attackers can gain access to potentially private data contained within the evaluation results.

In lunary-ai/lunary version 1.0.0, an authorization flaw exists that allows unauthorized radar creation. The vulnerability stems from the lack of server-side checks to verify if a user is on a free account during the radar creation process, which is only enforced in the web UI. As a result, attackers can bypass the intended account upgrade requirement by directly sending crafted requests to the server, enabling the creation of an unlimited number of radars without payment.

An Insecure Direct Object Reference (IDOR) vulnerability exists in the lunary-ai/lunary repository, version 0.3.0, within the project update endpoint. The vulnerability allows authenticated users to modify the name of any project within the system without proper authorization checks, by directly referencing the project's ID in the PATCH request to the '/v1/projects/:projectId' endpoint. This issue arises because the endpoint does not verify if the provided project ID belongs to the currently authenticated user, enabling unauthorized modifications across different organizational projects.

lunary-ai/lunary is vulnerable to a session reuse attack, allowing a removed user to change the organization name without proper authorization. The vulnerability stems from the lack of validation to check if a user is still part of an organization before allowing them to make changes. An attacker can exploit this by using an old authorization token to send a PATCH request, modifying the organization's name even after being removed from the organization. This issue is due to incorrect synchronization and affects the orgs.patch route.

lunary-ai/lunary version 1.0.1 is vulnerable to improper authorization, allowing removed members to read, create, modify, and delete prompt templates using an old authorization token. Despite being removed from an organization, these members can still perform operations on prompt templates by sending HTTP requests with their previously captured authorization token. This issue exposes organizations to unauthorized access and manipulation of sensitive template data.