Several cybersecurity enumerations and knowledge bases allow sharing information about vulnerabilities or types of attacks. Examples are Common Vulnerabilities and Exposures (CVE) and MITRE ATT&CK. Threat intelligence platforms provide data about cyber threats complementing the data about vulnerabilities and types of attacks. This bachelor thesis aims to create a tool that gathers data from a community threat intelligence platform called Open Threat Exchange (OTX) and complements it with the content of the MITRE ATT&CK knowledge base. Consequently, the thesis analyzes obtained data. The thesis consists of the following subtasks:

• Familiarize with OTX and MITRE ATT&CK.
• Create a tool that obtains data from the OTX platform and parses the content of the MITRE ATT&CK knowledge base according to the supervisor’s requirements. Create a suitable representation of data stored in a graph database Neo4j.
• Implement an algorithm that determines the level of trust for individual users of OTX based on relationships subscribe and follow. Analyze to what extent it is beneficial to download data from users in the distance of n relationships follow or subscribe from a trusted user.
• Analyze how and to what extent the obtained information complements information from the enumerations about vulnerabilities and types of attacks.

Implementation should be prepared so that its launching requires the least possible number of manual steps.