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This skill details the architecture and implementation of an automated Indicator of Compromise (IOC) enrichment pipeline using OpenCTI. It demonstrates how to connect OpenCTI to various external threat intelligence services (like VirusTotal, Shodan, AbuseIPDB) to automatically gather context, correlate indicators, and assign confidence scores. This is crucial for enhancing security monitoring and prioritizing threats for cyber analysts.

This skill outlines a comprehensive, structured workflow for managing Microsoft Patch Tuesday security updates. It covers the entire lifecycle, from initial vulnerability triage and risk assessment to testing, staged deployment (Pilot, Production Rings), and final validation, ensuring compliance with risk-based remediation SLAs.

This solution guides the implementation of a phishing reporting button within email clients, creating a critical feedback loop for security teams. By integrating with SOAR platforms, reported suspicious emails undergo automated triage, including IOC extraction, sandbox analysis, and threat intelligence checks. The workflow enables rapid classification, automated remediation (e.g., mass retraction, sender blocking), and provides detailed feedback to the user reporter, significantly enhancing overall security posture.

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 tool assists in defining a structured Security Operations Center (SOC) escalation matrix. It maps incident response procedures based on severity (P1-P4), asset criticality, and business impact. Users can model tiered response paths, set Service Level Agreements (SLAs), and implement context-driven automatic escalation triggers to ensure rapid and consistent handling of cybersecurity incidents.

This skill provides comprehensive tracking and visualization for Security Operations Center (SOC) performance. It calculates critical metrics such as Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), and alert quality ratios using SIEM data. Ideal for SOC leadership, compliance auditing, and continuous process improvement initiatives needing quantifiable security posture reporting.

A comprehensive, structured playbook for Security Operations Centers (SOCs) detailing the entire lifecycle of ransomware incidents. It guides analysts through detection (SIEM queries), triage decision trees, containment (EDR/Firewall), evidence collection, and recovery phases, adhering to NIST CSF and MITRE ATT&CK frameworks.

This framework provides a systematic methodology for cybersecurity professionals to transform raw threat intelligence, observed attack patterns, and environmental telemetry into verifiable, testable hunting hypotheses. It guides the end-to-end process, from hypothesis formulation and data identification across SIEM/EDR systems, to deep correlation and reporting, enabling proactive threat detection and scope assessment.

This guide details how to build automated threat intelligence enrichment pipelines within Splunk Enterprise Security. By leveraging the Threat Intelligence Framework, users can ingest, normalize, and correlate Indicators of Compromise (IOCs) from diverse external sources (such as TAXII, CSV, and custom APIs). The process uses KV Store collections and lookup searches to enrich raw security events with critical threat context, significantly reducing triage time for SOC teams.

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.

This framework provides a comprehensive solution for tracking vulnerability aging and measuring remediation performance against defined Service Level Agreements (SLAs). It helps organizations enforce severity-based timelines, calculate key performance indicators (KPIs) like Mean Time to Remediate (MTTR), and automate escalation procedures to ensure continuous compliance and improve overall security posture.

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.