GHSA-chm3-vqcf-52rx

# Summary

These endpoints accept a client-controlled `credential` parameter. The server loads credentials by `id` and uses them directly, without checking whether that credential belongs to the caller’s workspace. If an attacker knows another workspace’s `credentialId`, they can use that workspace’s OpenAI key.

# Details

Route permissions (`assistants:*`) only check feature access. They do not check credential ownership. The controller passes `req.query.credential` straight to the service. The service does `findOneBy({ id: credentialId })`, decrypts the credential, and calls OpenAI APIs. There is no `workspaceId` check in this flow, so this is an IDOR.

# Impact

- Cross-workspace unauthorized use of stored OpenAI keys. - Unauthorized read/modify/delete of victim vector stores and files. - Direct billing impact on victim OpenAI account. - Multi-tenant boundary violation with practical exploitability.

# Reproduction steps

1. Set up two workspaces: A (attacker) and B (victim), each with an OpenAI credential. 2. Log in as a user in workspace A (with assistants-related permissions). 3. Call `/api/v1/openai-assistants-vector-store` and set `credential` to B’s credential ID. 4. Example: `GET /api/v1/openai-assistants-vector-store?credential=<B_credentialId>`. 5. If responses/actions are executed using B’s credential context, the issue is confirmed.