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.

This guide details advanced digital forensics techniques for recovering deleted file metadata and content from NTFS volumes. It focuses on analyzing the Master File Table (MFT), USN Journals, and $LogFile transaction records. Techniques include parsing MFT slack space and utilizing specialized tools like MFTECmd to reconstruct file system timelines and identify deleted evidence remnants.

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 guide details the comprehensive workflow for conducting memory forensics using Volatility 3. It covers the entire incident response lifecycle, from acquiring raw RAM dumps to analyzing processes, detecting rootkits, investigating network connections, and extracting sensitive artifacts like credentials and injected code. Essential for live memory analysis in cybersecurity investigations.

A comprehensive methodology for detecting advanced system compromises, including rootkits, hidden processes, and kernel-level malware. It utilizes memory forensics, cross-view detection (comparing different system views), and integrity checking to identify manipulated kernel structures, hooked system calls (SSDT, IAT, IRP), and covert network connections. Ideal for deep forensic investigations where standard tools fail to reveal the true state of a compromised system.

This tool leverages the Rekall memory forensics framework to conduct deep analysis of memory dumps. It is designed to detect sophisticated threats such as process hollowing, injected code via VAD anomalies, hidden operating system processes, and rootkit presence. It applies key forensic plugins (pslist, malfind, vadinfo) essential for rigorous incident response and malware analysis.

Utilize Velociraptor, an advanced open-source platform, to collect, query, and monitor forensic artifacts across diverse endpoints (Windows, Linux, macOS). This skill enables incident response teams to perform large-scale, rapid digital forensic investigations by collecting critical data such as event logs, registry entries, prefetch files, and network metadata using VQL queries.

A comprehensive guide for SOC analysts and digital forensics experts. This skill covers the entire lifecycle of a phishing incident, from initial user report and header analysis (SPF, DKIM, DMARC) to detonating malicious URLs/attachments in sandboxes. It guides users on scoping the attack, identifying impacted users via SIEM/proxy logs, and executing containment measures like email purges.

This comprehensive guide outlines a structured workflow for conducting digital forensics investigations across major cloud providers, including AWS, Azure, and GCP. It covers critical steps such as evidence preservation (snapshots, metadata capture), systematic log collection (CloudTrail, Activity Logs, Audit Logs, VPC Flow Logs), and advanced analysis techniques to trace unauthorized accesses and identify root causes of security breaches.

This tool provides a comprehensive workflow for performing deep forensic investigations on AWS environments. By leveraging CloudTrail logs and programmatic access via boto3/Athena, users can reconstruct attacker activity, identify compromised credentials, analyze suspicious API call patterns, and generate detailed incident response reports.