This PR represents a comprehensive effort to integrate MaxMind's GeoIP and ASN databases into the Wazuh-Engine, as outlined in the epic https://github.com/wazuh/wazuh/issues/21695. The integration aims to enhance the engine's data analysis and threat intelligence capabilities by enriching events with geographical and autonomous system number (ASN) information.
Objectives
Research and Best Practices: Extensive research was conducted to determine the most effective methods for integrating MaxMind databases with the Wazuh-Engine.
Module Development: A foundational module was developed to facilitate interaction with MaxMind databases, ensuring robust and efficient data retrieval.
Helper Functions: Key helper functions were implemented to support the module, enhancing its functionality and integration with the engine.
Automatic DB Updates: A system for automatic updates of the MaxMind databases was developed to maintain data accuracy and relevance over time.
Ruleset Enhancement: The Wazuh ruleset was updated to utilize the enriched GeoIP and ASN data, improving the precision of event analysis.
Integration Testing: Thorough integration testing was performed to confirm the functionality and reliability of the MaxMind integration within the Wazuh-Engine ecosystem.
Key Achievements
MaxMind Module: The creation of a dedicated module for MaxMind integration ensures seamless interaction with GeoIP and ASN databases.
Data Enrichment: Events processed by the Wazuh-Engine are now enriched with accurate geographical and ASN information, enhancing the overall intelligence and context of security alerts.
Automatic Updates: The implementation of an automatic database update mechanism guarantees that GeoIP and ASN data remain current and relevant, enhancing the accuracy of threat detection and analysis.
Ruleset Updates: Modifications to the Wazuh ruleset allow for the utilization of enriched data, enabling more precise and effective threat detection strategies.
Comprehensive Testing: Extensive tests confirmed that the integration performs as expected without disrupting existing functionalities.
Changes Included in This PR
A new module for handling MaxMind database interactions.
Helper functions designed to facilitate data retrieval and processing from MaxMind databases.
An automated system for updating MaxMind databases.
Updates to the Wazuh ruleset to incorporate GeoIP and ASN data.
Detailed documentation of the development process and integration strategies.
Additional Considerations
Data Privacy: All aspects of the integration have been designed to comply with relevant data privacy laws and regulations.
Performance Optimization: Considerable attention was given to assessing and optimizing the impact of the integration on the performance of the Wazuh-Engine.
Documentation: Each phase of the development, from research to testing, has been thoroughly documented to ensure clarity and support future maintenance and upgrades.
Acceptance Criteria
Successful integration of MaxMind databases with the Wazuh-Engine as evidenced by enhanced event analysis capabilities.
Seamless functionality of the automatic database update system.
Effective utilization of enriched data within the updated ruleset.
Positive outcomes from integration testing, confirming the integration's efficacy and reliability.
This PR is a significant step forward in advancing the capabilities of the Wazuh-Engine, providing enhanced contextual data that supports more sophisticated analysis and threat detection strategies.
Description
This PR represents a comprehensive effort to integrate MaxMind's GeoIP and ASN databases into the Wazuh-Engine, as outlined in the epic https://github.com/wazuh/wazuh/issues/21695. The integration aims to enhance the engine's data analysis and threat intelligence capabilities by enriching events with geographical and autonomous system number (ASN) information.
Objectives
Key Achievements
Changes Included in This PR
Additional Considerations
Acceptance Criteria
This PR is a significant step forward in advancing the capabilities of the Wazuh-Engine, providing enhanced contextual data that supports more sophisticated analysis and threat detection strategies.