Skill UI

A comprehensive guide for conducting penetration testing on iOS and Android mobile applications, adhering to the OWASP MASTG. This skill covers the full mobile attack surface, including static analysis of binaries, dynamic runtime testing, and deep API security assessment. Techniques taught include bypassing certificate pinning, analyzing local data storage (Keychain, SQLite), and identifying vulnerabilities in authentication and network communication.

This comprehensive skill guides users through designing and executing advanced social engineering penetration tests. It covers simulating real-world attacks, including phishing (email), vishing (voice), smishing (SMS), and physical pretexting. The goal is to measure an organization's human security resilience, identify training gaps, and test security controls across multiple vectors using tools like GoPhish and SET.

A comprehensive guide for conducting authorized wireless network penetration tests. This skill assesses the overall security posture of WiFi infrastructure, covering weak encryption protocols, captive portal bypasses, Evil Twin attacks, WPA2/WPA3 handshake capture, and rogue access point detection. It evaluates wireless authentication methods, network segmentation, and the effectiveness of WIDS/WIPS systems.

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 tool deploys decoy canary files in critical system directories to provide early warning against ransomware attacks. Utilizing Python's watchdog library, it monitors for any read, modify, rename, or delete operations on these decoy files. Detection triggers immediate alerts via multiple channels (Email, Slack, Syslog), helping security teams identify and respond to malicious activity before full data encryption occurs. It serves as a crucial detection layer in a layered security defense.

This tool provides structured guidelines and detection rules for identifying API enumeration attacks, including Broken Object Level Authorization (BOLA) and IDOR. It monitors API access logs for suspicious patterns, such as rapid sequential requests to resource identifiers, unusual status code mixes (200/403/401), and excessive attempted resource IDs, helping security teams validate API security coverage.

This skill monitors critical OT historian servers (such as OSIsoft PI and Ignition) located at the IT/OT boundary. It is designed to detect sophisticated cyber threats, including unauthorized access attempts, data manipulation, suspicious query patterns, and indicators of lateral movement between enterprise and control networks. Use it to validate data integrity and respond to potential ICS security incidents.

This skill provides methods and tools for detecting sophisticated cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS). It focuses on detecting anomalies like unauthorized command injection, Man-in-the-Middle attacks on industrial protocols (Modbus, DNP3), and data manipulation, which traditional IT security tools often miss. Usage involves establishing deterministic communication baselines and monitoring network traffic for deviations.

This guide provides a comprehensive methodology and technical approach for detecting malicious email forwarding rules. It is crucial for threat hunting, incident response, and proactive security assessments to identify persistent access mechanisms used by adversaries for intelligence collection and Business Email Compromise (BEC) attacks. It outlines necessary prerequisites, workflow steps, and key threat indicators (T1114).

This skill provides comprehensive guidance and detection rules for identifying fileless malware, in-memory attacks, and living-off-the-land techniques. It covers detecting PowerShell exploitation, reflective DLL injection, WMI abuse, and registry-resident threats, enabling security teams to build robust detections when traditional antivirus fails.

Analyzes Windows Security EVTX logs to detect Kerberos golden ticket assaults by correlating event IDs 4768, 4624, and 4672, flagging long-lived TGTs, privilege escalations without group changes, SID inconsistencies, and outputting a timeline-based report.

A comprehensive guide and framework for detecting attacker lateral movement within enterprise networks. It details the use of network flow analysis (Zeek), authentication log review (Windows Event Logs, Kerberos), and dedicated SIEM correlation rules (Splunk, Elastic) to identify techniques like Pass-the-Hash and RDP hopping. Ideal for threat hunters and security engineers building detection pipelines.