The ENrichment NORMalization (ENNORM) module is a pivotal component of the SOFAH (Speedy Open Framework for Automated Honeypot-development) framework, tasked with automating the configuration and deployment of honeypot services based on collected reconnaissance data. By analyzing and normalizing this data, ENNORM plays a critical role in tailoring the honeypot's behavior to effectively simulate real-world systems and attract potential attackers.
ENNORM enhances the SOFAH framework's adaptability and effectiveness by processing reconnaissance information to automatically generate configurations for various honeypot services, including API simulations, port spoofing, and more. This module ensures that the honeypots are dynamically configured to reflect the latest threat intelligence, making them more realistic and engaging for attackers.
- Data Normalization: Transforms raw reconnaissance data into a standardized format suitable for processing by other SOFAH services.
- Configuration Generation: Automatically generates service configurations, including simulated APIs, open ports, and other network characteristics.
- Integration with SOFAH Services: Seamlessly interacts with other components of the SOFAH framework, ensuring cohesive and automated deployment of the honeypot environment.