Skill UI

This skill provides a comprehensive framework for ingesting, normalizing, and enriching threat intelligence (CTI) from multiple structured and unstructured sources. It guides users through scoring feeds, converting heterogeneous IOC formats (like OpenIOC, YARA) into the standardized STIX 2.1 format, and enriching indicators using external services (e.g., VirusTotal, PassiveTotal). Ideal for building robust, automated threat detection pipelines for SIEM and EDR systems.

This skill provides a comprehensive framework for building automated pipelines that ingest, normalize, and operationalize threat intelligence (TI). It connects diverse sources—including STIX/TAXII feeds, open-source feeds (e.g., Abuse.ch), and commercial TI platforms—into SIEM and security tools. Use this when SOC teams need to automate the entire lifecycle of IOC ingestion, scoring, and real-time matching against network telemetry.

A comprehensive guide on building a unified Threat Intelligence Platform (TIP). This skill covers deploying and integrating multiple core CTI tools (MISP, OpenCTI, TheHive, Cortex) into a single system. Learn to design the architecture, configure feed ingestion pipelines, automate IOC enrichment, and ensure standardized intelligence sharing using STIX/TAXII standards.

This guide demonstrates how to programmatically create, validate, and exchange complex structured threat intelligence objects (Indicators, Malware, Campaigns) using the STIX 2.1 standard and the stix2 Python library. It covers the full lifecycle of intelligence sharing, including defining patterns and publishing data via TAXII 2.1, making it essential for building sophisticated Threat Intelligence Platforms (TIPs) and integrating with SIEM/SOAR systems.

This skill provides a comprehensive guide to integrating STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information). It covers using Python to consume and produce cyber threat intelligence feeds, including server discovery, object fetching, and parsing of STIX 2.1 objects for integration into SIEM and TIP platforms.

Build a PyMISP-driven threat intelligence platform that ingests multiple IOC feeds, tags MITRE ATT&CK techniques, enriches data via VirusTotal and AbuseIPDB, and exports STIX 2.1 bundles for SIEM pipelines.

This skill provides a comprehensive workflow for analyzing malicious software to extract actionable Indicators of Compromise (IOCs). It covers static analysis (PE parsing, hashing, string extraction) and dynamic analysis techniques. Users learn how to identify file hashes, network indicators (C2 IPs, domains), registry modifications, and behavioral artifacts, ultimately formatting the findings into standard STIX 2.1 formats for sharing and incident response.

This skill demonstrates how to use PyMISP, the official Python library, to programmatically interact with the MISP threat intelligence platform. Users can create, enrich, and manage structured threat events, including adding Indicators of Compromise (IOCs), applying TLP/MITRE ATT&CK tags, and exporting data in STIX 2.1 format for cross-platform sharing, making it ideal for security assessments and incident response.

Processes STIX 2.1 threat intelligence bundles delivered via TAXII 2.1 servers. It normalizes various threat intelligence objects (indicators, actors) into platform-native schemas, enabling automated ingestion, validation, and routing to SIEM, TIP, and EDR systems. Ideal for integrating new ISAC feeds or building bi-directional intelligence pipelines.