Wekan is an open source kanban tool built with Meteor. In versions 8.31.0 through 8.33, the notificationUsers publication in Wekan publishes user documents with no field filtering, causing the ReactiveCache.getUsers() call to return all fields including highly sensitive data such as bcrypt password hashes, active session login tokens, email verification tokens, full email addresses, and any stored OAuth tokens. Unlike Meteors default auto-publication which strips the services field for security, custom publications return whatever fields the cursor contains, meaning all subscribers receive the complete user documents. Any authenticated user who triggers this publication can harvest credentials and active session tokens for other users, enabling password cracking, session hijacking, and full account takeover. This issue has been fixed in version 8.34.
Weakness
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
Affected Software
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Wekan | Wekan_project | 8.31 (including) | 8.33 (excluding) |
Extended Description
There are many different kinds of mistakes that introduce information exposures. The severity of the error can range widely, depending on the context in which the product operates, the type of sensitive information that is revealed, and the benefits it may provide to an attacker. Some kinds of sensitive information include:
Information might be sensitive to different parties, each of which may have their own expectations for whether the information should be protected. These parties include:
Information exposures can occur in different ways:
It is common practice to describe any loss of confidentiality as an “information exposure,” but this can lead to overuse of CWE-200 in CWE mapping. From the CWE perspective, loss of confidentiality is a technical impact that can arise from dozens of different weaknesses, such as insecure file permissions or out-of-bounds read. CWE-200 and its lower-level descendants are intended to cover the mistakes that occur in behaviors that explicitly manage, store, transfer, or cleanse sensitive information.
Potential Mitigations
- Compartmentalize the system to have “safe” areas where trust boundaries can be unambiguously drawn. Do not allow sensitive data to go outside of the trust boundary and always be careful when interfacing with a compartment outside of the safe area.
- Ensure that appropriate compartmentalization is built into the system design, and the compartmentalization allows for and reinforces privilege separation functionality. Architects and designers should rely on the principle of least privilege to decide the appropriate time to use privileges and the time to drop privileges.
Related Attack Patterns
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