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A comprehensive tool suite designed to analyze firmware images from embedded devices, including routers, IoT endpoints, and critical system components like UEFI/BIOS. It facilitates deep security analysis by performing firmware extraction, filesystem integrity checks, binary reverse engineering, and sophisticated detection of bootkits, backdoors, and unauthorized modifications.

A comprehensive skill for Security Operations Center (SOC) teams and incident responders. It detects advanced lateral movement techniques, including Pass-the-Hash, PsExec, WMI, and RDP pivoting, by correlating Windows Security logs, Sysmon data, and network flow records within a SIEM. This capability is mapped to MITRE ATT&CK TA0008 and is essential for tracking an attacker's internal progression after initial compromise. Not intended for external attack detection.

This skill outlines the systematic process of integrating new data sources (e.g., Firewalls, EDR, Cloud, AD) into a SIEM platform. It covers planning, configuring collectors, building parsers, normalizing data fields (e.g., CIM), and validating data quality to enhance security monitoring and incident detection capabilities.

Zeek is a powerful, open-source network analysis framework that functions as a passive security monitor. It generates highly detailed, structured logs (e.g., HTTP, DNS, TLS) from raw network traffic, allowing for deep metadata extraction. This skill guides users through deploying Zeek, writing custom detection scripts, and integrating the resulting rich security logs with SIEM platforms for advanced threat detection and forensic investigations.

This skill demonstrates how to craft and inject custom, malformed, or spoofed network packets using tools like Scapy and hping3. It is designed for authorized cybersecurity assessments to rigorously test firewall rules, Intrusion Detection/Prevention Systems (IDS/IPS) signatures, anti-spoofing controls, and overall network stack resilience against protocol anomalies and fragmentation attacks. Use only in controlled, authorized environments.

Provides a structured, comprehensive playbook for managing high-impact ransomware incidents. It guides the response team through initial detection, immediate network containment, detailed damage assessment, recovery decision making (including legal and financial considerations), and secure system restoration. Essential for cybersecurity teams facing active encryption attacks.

This framework executes sophisticated threat emulation tests using Atomic Red Team, mapping directly to MITRE ATT&CK techniques. It allows security teams to actively simulate adversary behavior, validating the detection coverage of SIEM rules and EDR controls. Use this tool for comprehensive purple team operations, penetration testing, and security auditing.

A comprehensive guide for Security Operations Center (SOC) teams to perform proactive threat hunting using Elastic SIEM. This skill teaches advanced techniques like KQL and EQL queries, analyzing event sequences, and investigating anomalies to uncover threats that bypass automated detection rules. Ideal for validating detection coverage gaps and responding to new TTPs based on the MITRE ATT&CK framework.

A comprehensive guide to building a structured incident response playbook for ransomware attacks. It aligns with the CISA StopRansomware Guide and NIST CSF, covering all phases from preparation and detection to containment, eradication, and recovery. Ideal for security teams conducting readiness assessments or updating compliance documentation.

This skill integrates Aegis detection events directly into Home Assistant. By firing specific `aegis_detection` events, it allows users to automate actions in their smart home setup. Users can configure automations to automatically turn on lights, send notifications, or execute complex routines based on detected security activity. Requires HA credentials for secure connection.

This skill provides a deep dive into the architecture of low-level keyloggers. It covers techniques such as kernel driver hooks, using WH_KEYBOARD_LL, ETW-based input capture, and analyzing user-mode vs. kernel-mode approaches. Use this methodology to understand input capture mechanisms, research EDR evasion methods, or analyze malware architecture for advanced security threat detection.

This skill provides advanced detection methods for credential dumping, covering LSASS memory access, SAM hive extraction, and NTDS.dit theft (e.g., using Mimikatz). It utilizes Sysmon Event ID 10 and Windows Security logs to enable threat hunting, assisting SOC analysts in triaging EDR alerts and building robust SIEM correlation rules.