KubeHound automatically calculates attack paths between assets in a Kubernetes cluster. It helps security teams understand potential adversary movement within a cluster. KubeHound uses a graph database and Gremlin query language to represent the relationships between Kubernetes resources and identify attack sequences.
KubeHound differentiates itself through its automated attack path calculation, leveraging established attack graph methodologies. It offers a user-friendly interface using the Gremlin query language and visualizes complex attack data, facilitating practical security assessments. The project's focus on Kubernetes-specific attack paths provides a tailored security solution.
- Attack Path Calculation: Automatically generates attack paths within a Kubernetes cluster based on defined attack relationships.
- Gremlin Query Support: Enables querying and analysis of the attack graph using the Gremlin query language.
- Data Visualization: Provides a visual representation of attack paths for easy understanding and analysis.
- Deployment Flexibility: Supports local installation, Homebrew installation, and deployment as a service (KHaaS).
- Extensible Attack Definitions: Allows for the definition and inclusion of custom attack paths.
- Python API: Offers a Python API for automating queries and integrating KubeHound with other tools.
- Sample Data Generation: Includes tools to generate sample attack graph data for testing and demonstration.
KubeHound is an active project under development with ongoing maintenance and updates. It has a consistent release history and a responsive community. The documentation is relatively comprehensive, and the project demonstrates stable functionality in common scenarios based on recent commit activity and issue resolution.
KubeHound benefits security professionals, particularly red teams, purple teams, and security auditors, by providing a clear visualization of potential attack paths within their Kubernetes environments. It reduces the manual effort required to identify vulnerabilities and provides actionable insights for improving cluster security. KubeHound offers a more automated and scalable approach to attack path analysis compared to manual reconnaissance and penetration testing.