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This skill provides systematic methods and advanced techniques to deobfuscate multi-layered PowerShell malware. It utilizes Abstract Syntax Tree (AST) analysis, dynamic execution tracing, and specialized tools to reveal hidden payloads, C2 infrastructure, and the original malicious logic. It is essential for security analysts, red teamers, and incident response teams performing deep malware analysis.

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 solution automates the processing of AWS GuardDuty findings using EventBridge and AWS Lambda. It enables real-time incident response capabilities, including automatic quarantine of compromised EC2 resources, comprehensive forensic snapshot creation, and immediate high-severity security notifications via SNS. Ideal for SOC teams seeking to drastically reduce Mean Time To Response (MTTR) and strengthen cloud security posture.

This guide provides advanced detection methods and threat hunting queries (KQL/SPL) to identify abuse of Azure service principals. It covers techniques such as privilege escalation, credential compromise, unauthorized role assignment, and enumeration, essential for SOC analysts and security teams monitoring Microsoft Entra ID.

A comprehensive guide for security teams on detecting and responding to unauthorized crypto mining operations in cloud environments (AWS, Azure). It details a multi-layered approach, utilizing cost anomaly detection, compute utilization monitoring, GuardDuty findings, and network flow log analysis (VPC/KQL) to identify resource hijacking attempts and suspicious activity across EC2, ECS, and EKS workloads.

This skill provides structured procedures and Python examples for detecting internal data exfiltration. It analyzes endpoint, cloud, and email logs by establishing behavioral baselines and performing statistical anomaly detection. Use cases include investigating insider threats, monitoring DLP policy violations, and building robust User and Entity Behavior Analytics (UEBA) rules for SOC teams.

This guide details advanced threat hunting techniques to proactively detect Mimikatz execution. It focuses on identifying command-line patterns, unauthorized access to LSASS memory, binary indicators, and known credential dumping techniques (e.g., DCSync, Golden Tickets). Ideal for security analysts, threat hunters, and incident response teams during proactive assessments or active compromise investigation.

This tool detects, inventories, and analyzes undocumented or abandoned API endpoints (Shadow APIs). By comparing live network traffic logs against official OpenAPI specifications, it helps security teams identify hidden attack vectors, gaps in API governance, and unmonitored entry points, significantly improving the security posture of complex systems.

This guide details the end-to-end process for executing authorized phishing simulations. It instructs security teams and red teams on designing realistic social engineering pretexts, setting up credential harvesting infrastructure (using tools like GoPhish), and measuring key metrics such as open rates, click-through rates, and credential submission rates. It is crucial for assessing organizational human security awareness and testing email security controls (e.g., DMARC, SPF, DKIM).

This skill guides the essential pre-testing phase for red team engagements. It defines the scope, objectives, Rules of Engagement (ROE), and threat models using established frameworks like MITRE ATT&CK. By developing a comprehensive plan, users ensure that offensive security testing is performed safely, legally, and within defined operational boundaries, thereby preventing unintended business disruption.

Executes comprehensive red team exercises that mimic real-world adversary operations across people, processes, and technology. This capability simulates the full attack lifecycle, from initial reconnaissance to objective completion, specifically testing an organization's detection, response, and containment mechanisms. It focuses on adversary emulation and complex attack chains, differentiating it from standard vulnerability scanning or penetration testing.