Skill UI

This skill provides a comprehensive solution for monitoring brand impersonation attacks across multiple digital vectors. It systematically scans domains, social media platforms, mobile app stores, and the dark web to detect phishing campaigns, typosquatting, and unauthorized brand usage. It is essential for security teams conducting proactive threat intelligence gathering and vulnerability assessments to safeguard brand integrity.

This skill provides comprehensive functionality for monitoring and mapping adversary-controlled assets, such as C2 servers, phishing domains, and exploit kit hosts. By leveraging tools like Passive DNS, Certificate Transparency logs, and specialized scanners (Shodan/Censys), analysts can discover, track, and pivot through complex threat actor infrastructure over time, significantly enhancing security operations and threat intelligence maturity.

This guide demonstrates how to use the pycti Python client to model complex cyber threat intelligence within the OpenCTI platform. It structures threat actors, intrusion sets, campaigns, and TTPs into a unified STIX 2.1 knowledge graph. The skill is essential for correlating fragmented data from multiple sources (IOCs, reports) into a comprehensive, queryable adversary picture, supporting advanced threat hunting and detection engineering.

This skill guides the full lifecycle of threat intelligence processing, transforming raw indicators of compromise (IOCs) from MISP feeds into actionable security detections. It covers feed curation, false positive reduction using warninglists, and automating the generation of high-fidelity rules for Suricata, Sigma, and Wazuh. Use this to mature your MISP instance from a repository into a proactive detection engine.