Skill UI

This guide details the comprehensive process of using the Linux Audit framework (auditd) to detect advanced security threats. It covers deploying specific rules to monitor critical system files, detecting unauthorized privilege escalation, process injection, and suspicious system calls. Users can then leverage ausearch and aureport to efficiently query, reconstruct timelines, and summarize findings for forensic analysis and compliance auditing.

Analyzes behavioral reports from security sandboxes (Cuckoo, AnyRun) to detect advanced anti-analysis and evasion techniques. It specifically identifies indicators such as timing checks, hypervisor artifact queries, user interaction patterns, and environment fingerprinting. This tool is essential for threat hunting, enhancing detection rules, and conducting deep malware triage.

A comprehensive guide for deep packet inspection and network forensics using Wireshark and tshark. This skill is critical for incident response, where it allows users to capture, filter, and analyze network packet data to identify malicious command-and-control traffic, diagnose complex protocol issues, extract indicators of compromise (IOCs), and reconstruct data exfiltration paths. Use it for validating security rules and understanding network anomalies.

This skill utilizes the Microsoft Graph API to parse Office 365 Unified Audit Logs for security incident investigation. It is designed to detect critical indicators of account compromise, including the creation of suspicious email forwarding rules, unauthorized mailbox delegation changes, suspicious OAuth application consent grants, and other signs related to Business Email Compromise (BEC).

This skill parses various cyber threat intelligence (CTI) reports (Mandiant, CrowdStrike, etc.) using NLP and specialized libraries (stix2, mitreattack-python, spaCy). It systematically extracts adversary behaviors, maps them to MITRE ATT&CK IDs, and constructs a searchable STIX 2.1 Attack Pattern library. This is essential for threat-informed detection engineering, generating detection rules (Sigma, YARA), and validating security controls.

This guide details how to write advanced correlation searches using Splunk's Search Processing Language (SPL). It covers techniques like threshold-based detection, sequence analysis, and anomaly detection to identify sophisticated security threats (e.g., brute force, data exfiltration, lateral movement) in a Security Operations Center (SOC) environment. Mastery of SPL is essential for closing SIEM detection gaps and ensuring compliance.

This skill provides a comprehensive workflow for building vendor-agnostic detection rules using the Sigma format. It empowers security operations center (SOC) engineers to translate raw threat intelligence and MITRE ATT&CK techniques into standardized, portable detection logic. The process guides users through rule validation and conversion into specific queries for major SIEM platforms, including Splunk, Elastic, and Microsoft Sentinel, ensuring robust detection coverage.

A comprehensive framework for assessing network security posture. This skill guides the tester through the entire penetration testing lifecycle, from reconnaissance and host discovery (using tools like Nmap) to service enumeration, vulnerability identification (CVEs), and controlled exploitation (Metasploit). It is essential for validating firewall rules, ensuring compliance (e.g., PCI-DSS), and stress-testing critical infrastructure security.

A comprehensive guide to configuring pfSense firewalls for robust network security. This skill covers setting up complex network segmentation across multiple zones (DMZ, internal, guest, IoT), implementing granular firewall rules, configuring NAT for port forwarding, and establishing site-to-site or remote-access VPN tunnels using IPsec or OpenVPN. Ideal for network engineers deploying perimeter or internal firewalls.

This guide provides a comprehensive walkthrough for deploying, configuring, and tuning Snort 3. It covers essential steps such as setting network interfaces to promiscuous mode, writing custom rules using Lua, integrating with SIEM platforms, and utilizing community rulesets. Ideal for network security professionals implementing robust, signature-based intrusion detection at critical network boundaries.

This skill provides comprehensive guidance and PowerShell scripts for hardening Windows endpoints using Microsoft Defender for Endpoint (MDE). It covers advanced features like Attack Surface Reduction (ASR) rules to block common attack techniques, Controlled Folder Access for ransomware protection, and Network Protection. Use this for deploying enterprise-grade, compliance-required security policies via Intune or Group Policy.

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.