KubeHound works in 3 steps:
- Connect to your Kubernetes cluster and read API resources (pods, nodes, permissions...)
- Compute attack paths
- Write the results to a local graph database (JanusGraph)
After the initial ingestion is done, you use a compatible client or the provided Jupyter Notebook to visualize and query attack paths in your cluster.
Under the hood, KubeHound leverages a caching and persistence layer (Redis and MongoDB) while computing attack paths. As an end user, this is mostly transparent to you.