Skill UI

A comprehensive, step-by-step guide for security professionals to perform deep-dive malware analysis. It covers methodologies for static analysis (disassemblers, imports), dynamic execution (sandboxing, monitoring), identifying Indicators of Compromise (IOCs), and structuring professional threat reports. Essential for incident response and threat intelligence.

This comprehensive guide details advanced forensic techniques for detecting and analyzing sophisticated malware that operates at the system's deepest levels, such as the Master Boot Record (MBR), Volume Boot Record (VBR), and UEFI firmware. It covers boot sector disassembly, UEFI module inspection, and memory forensics (SSDT/DKOM). Use this when standard security tools fail or when investigating nation-state level compromises.

A comprehensive guide and workflow for investigating compromised Docker containers. This tool assists digital forensic experts in analyzing layers, volumes, logs, runtime artifacts, and host configurations to identify malicious activity, privilege escalation attempts, and system breaches during incident response.

Comprehensive digital forensic analysis guide for Linux systems. It covers the collection and examination of critical artifacts such as authentication logs, shell histories, user configurations, system files (passwd, shadow), and persistence mechanisms to effectively detect security compromises, unauthorized access, and malicious activity.

This guide details the process of performing static analysis on potentially malicious PDF documents. It utilizes advanced tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use this method when triaging suspicious attachments from phishing emails or conducting deep forensic examination of weaponized document artifacts to generate actionable Indicators of Compromise (IOCs).

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.

A comprehensive system for systematically collecting, categorizing, and enriching Indicators of Compromise (IOCs) from various sources (network logs, memory dumps, email, etc.). It supports the entire incident response lifecycle, ensuring structured data representation using STIX/TAXII formats for robust threat intelligence sharing and defensive system automation.

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 skill detects compromised cloud credentials by analyzing anomalous API activity, impossible travel patterns, and unauthorized access indicators across AWS, Azure, and GCP. It integrates findings from GuardDuty, Defender for Identity, and Security Command Center to provide comprehensive threat visibility and assist in incident response and scope assessment.

This skill detects unauthorized modifications (container drift) to running containers by monitoring for deviations from the original image state. It monitors binary execution drift, file system changes, and configuration deviations using tools like Falco and Kubernetes security contexts. Essential for SOC analysts and security teams investigating runtime compromises and enforcing immutable infrastructure.

This skill outlines a comprehensive methodology for detecting compromised email accounts in Microsoft 365 and Google Workspace. It analyzes critical indicators such as unauthorized inbox rule creation (e.g., forwarding rules, deletion rules), suspicious sign-in locations (impossible travel), and unusual API access patterns using Microsoft Graph and Unified Audit Logs. It is essential for threat hunting and incident response (IR) to mitigate Business Email Compromise (BEC) and account takeover.

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.