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 guide details comprehensive methods for auditing Terraform infrastructure-as-code (IaC) against security misconfigurations. By leveraging industry-standard tools like Checkov, tfsec, Terrascan, and Open Policy Agent (OPA), users can detect critical vulnerabilities—such as overly permissive IAM policies, public resource exposure, and missing encryption—before cloud deployment. It is essential for integrating robust security gates into CI/CD pipelines and enforcing compliance standards.

Timesketch is a collaborative, open-source platform for security teams to analyze and reconstruct complex forensic timelines. It ingests and normalizes multi-source security data (logs, artifacts) using methods like Plaso, CSV, and JSONL. Users can visualize event chronology, track attack chains, and utilize advanced built-in analyzers (e.g., Sigma, Chain of Events) for comprehensive incident investigation and documentation.

This guide provides a comprehensive walkthrough for deploying and configuring a production-grade Command and Control (C2) infrastructure using the open-source Havoc framework. It covers setting up the Teamserver, configuring secure HTTPS listeners, implementing redirectors (e.g., Nginx), and deploying Demon agents for advanced post-exploitation red team operations. This skill is essential for authorized security assessments and building robust defensive countermeasures.

This skill provides a systematic methodology for building comprehensive threat actor profiles using Open-Source Intelligence (OSINT). It involves gathering, correlating, and analyzing publicly available data from diverse sources (e.g., vendor reports, dark web forums, code repositories). Users can map adversary TTPs to MITRE ATT&CK, assess motivations, and build structured dossiers for proactive defensive strategies and attribution assessments.

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.

DefectDojo is an open-source platform designed to centralize, aggregate, and manage security vulnerabilities. It integrates findings from over 200 security scanners (e.g., Nessus, ZAP, Trivy), automatically deduplicates results, tracks remediation progress, and provides executive-level dashboards. It supports robust workflows, including CI/CD pipeline integration and Jira ticketing, making it essential for DevSecOps practices and compliance adherence.

This workflow guides SOC teams in establishing a comprehensive, structured process for vulnerability management. It utilizes major scanning tools (Nessus, Qualys, OpenVAS) to discover, prioritize, and track remediation of security weaknesses across the infrastructure. It integrates threat intelligence (CISA KEV) and asset criticality into risk scoring, ensuring resources are focused on the most critical threats.

This skill provides comprehensive methods for collecting and synthesizing Open-Source Intelligence (OSINT) regarding threat actors, malicious infrastructure, and attack campaigns. It utilizes public data sources, passive reconnaissance tools (like WHOIS, Certificate Transparency), and specialized platforms (Maltego, Shodan, SpiderFoot) to map adversary context and perform pre-engagement intelligence gathering for authorized red team assessments. Emphasis is placed on passive collection techniques to ensure legality and operational security.

MISP (Malware Information Sharing Platform) is an open-source platform designed for gathering, storing, and correlating Indicators of Compromise (IOCs). This skill guides users through deploying MISP using Docker, configuring various threat feeds (MISP, TAXII, CSV), and utilizing the PyMISP Python API. It enables the building of automated pipelines to aggregate diverse threat data, such as IP addresses, domains, and hashes, for enhanced security operations.

This guide details how to conduct comprehensive external reconnaissance using Open Source Intelligence (OSINT) techniques. It teaches testers to passively map an organization's entire digital footprint, including enumerating subdomains, discovering internet-facing infrastructure (via Shodan/Censys), identifying personnel data, and analyzing leaked credentials from public sources. Ideal for the initial phases of penetration testing or red team engagements.

This skill implements User and Entity Behavior Analytics (UEBA) to detect sophisticated insider threats. It builds behavioral baselines from diverse log sources (authentication, file access, network) using Elasticsearch/OpenSearch. It calculates anomaly scores and performs peer group analysis to identify deviations indicative of data exfiltration, privilege abuse, or unauthorized access patterns.