Vantage6 Server JWT secret not cryptographically secure
vantage6 is an open-source infrastructure for privacy preserving analysis. The JWT secret key in the vantage6 server is auto-generated unless defined by the user. The auto-generated key is a UUID1, which is not cryptographically secure as it is predictable to some extent. This vulnerability is fixed in 4.11.0.
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. The vantage6 server has no restrictions on CORS settings. It should be possible for people to set the allowed origins of the server. The impact is limited because v6 does not use session cookies. This issue has been addressed in commit `70bb4e1d8` and is expected to ship in subsequent releases. Users are advised to upgrade as soon as a new release is available. There are no known workarounds for this vulnerability.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). It is possible to find out usernames from the response time of login requests. This could aid attackers in credential attacks. Version 4.2.0 patches this vulnerability.
vantage6 insecure SSH configuration for node and server containers
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Nodes and servers get a ssh config by default that permits root login with password authentication. In a proper deployment, the SSH service is not exposed so there is no risk, but not all deployments are ideal. The default should therefore be less permissive. The vulnerability can be mitigated by removing the ssh part from the docker file and rebuilding the docker image. Version 4.2.0 patches the vulnerability.
vantage6 Node accepts non-whitelisted algorithms from malicious server
vantage6 is a framework to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). In affected versions a node does not check if an image is allowed to run if a `parent_id` is set. A malicious party that breaches the server may modify it to set a fake `parent_id` and send a task of a non-whitelisted algorithm. The node will then execute it because the `parent_id` that is set prevents checks from being run. This impacts all servers that are breached by an expert user. This vulnerability has been patched in version 4.1.2. All users are advised to upgrade. There are no known workarounds fo