Skill UI

A comprehensive guide for analyzing PCAP files captured during malware execution. It demonstrates advanced techniques using Wireshark, Zeek, Suricata, and Python (scapy) to identify Command and Control (C2) communications, data exfiltration channels, Domain Generation Algorithms (DGA), and periodic beaconing patterns. Essential for malware reverse engineering and network threat detection.

This comprehensive skill analyzes Zeek conn.log and NetFlow data to proactively detect advanced indicators of ransomware activity. It identifies critical threats such as Command and Control (C2) beaconing patterns, connections to TOR exit nodes, large-scale data exfiltration flows, and suspicious DNS anomalies. It is essential for threat hunting and complex security incident response.

A comprehensive guide to deploying Microsoft Sentinel as a cloud-native SIEM/SOAR solution. Covers multi-cloud data connector setup (AWS, Azure, GCP), writing advanced KQL queries for threat detection and hunting, and building automated response playbooks using Logic Apps. Ideal for establishing centralized SOCs in complex, multi-cloud environments.

This guide details the methodology for conducting internal network penetration tests, simulating an attacker operating from an assumed breach state. It covers initial network reconnaissance, Active Directory enumeration, advanced credential harvesting techniques (e.g., Kerberoasting, Pass-the-Hash), and lateral movement exploitation to determine the full blast radius of a potential breach. Essential for comprehensive security auditing.

This comprehensive guide details how to implement robust security hardening measures for LDAP directory services. It specifically addresses critical vulnerabilities like LDAP injection, anonymous binding, and channel binding bypass. Key features include mandatory LDAPS enforcement, granular access control list configuration, and integrating advanced monitoring to ensure the infrastructure meets high compliance standards (e.g., NIST 800-53). Essential for security architects and operations teams.

A comprehensive guide to deploying and configuring Suricata as a high-performance Intrusion Detection System (IDS) or Intrusion Prevention System (IPS). This skill covers setting up multi-threaded packet processing for high-throughput links, enabling protocol-aware inspection (HTTP, TLS, DNS, SMB), generating structured EVE JSON logs for SIEM ingestion, and integrating advanced signature and anomaly detection capabilities.

This skill guides the advanced configuration of Windows Event Logging using Group Policy Objects (GPO) and advanced audit policies. It enables high-fidelity logging for critical security events, including process creation (Event 4688), logon/logoff activities, and object access. The process covers optimizing log sizes and implementing Windows Event Forwarding (WEF) to centralize data into SIEM platforms for effective threat detection and forensic investigation.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.

A comprehensive guide for deploying and configuring CrowdStrike Falcon EDR agents across diverse endpoints (Windows, macOS, Linux). This skill covers silent installation via SCCM, Intune, GPO, and command-line methods, alongside establishing robust prevention and response policies. Ideal for onboarding endpoints, enhancing threat detection capabilities, and integrating Falcon telemetry into SIEM platforms for advanced security operations.

This skill provides a comprehensive guide to deploying a Software-Defined Perimeter (SDP) compliant with the CSA v2.0 specification. It details implementing core zero trust mechanisms, including Single Packet Authorization (SPA) and mutual TLS (mTLS), using a controller and gateway architecture. Use this when establishing invisible, identity-centric network access (dark cloud) to harden infrastructure, enforce strict zero trust policies, or meet advanced compliance requirements.

This tool deploys advanced machine learning techniques to detect anomalies within Operational Technology (OT) and Industrial Control Systems (ICS) environments. It establishes behavioral baselines by analyzing network traffic (Modbus, DNP3, OPC UA) and communication timing. Use cases include continuous monitoring, detecting zero-day deviations, and enhancing security monitoring platforms beyond standard signature-based intrusion detection.

This guide provides comprehensive techniques for detecting Layer 2 ARP poisoning and spoofing attacks. It covers monitoring gratuitous ARP floods, tracking IP-to-MAC mapping changes, and identifying rogue devices. Techniques include deploying ARPWatch, configuring Dynamic ARP Inspection (DAI) on managed switches, and using advanced Wireshark filters or custom Python scripts for robust security monitoring and incident response.