Skill UI

This comprehensive guide provides techniques for acquiring, analyzing, and extracting artifacts from memory dumps. It covers best practices for digital forensics, crucial for incident response and malware analysis. Users learn how to use industry-standard tools like Volatility 3 on Windows, Linux, and macOS, including process, network, and registry deep dives.

Walks through analyzing RAM dumps with Volatility 3/2 to uncover injected code, hidden processes, network activity, and credentials when responding to compromised hosts.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

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.

Shellbags are critical Windows registry artifacts that record user interaction history with directories, storing view settings and browsing paths. This toolset allows analysts to reconstruct folder access history, detect connections to removable media, and prove navigation to network shares, even if the original folders no longer exist on the system. Essential for digital forensics and incident response.

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 skill details the deployment and advanced querying techniques for Arkime (Moloch), enabling comprehensive full packet capture network traffic analysis. Users can leverage the Arkime API v3 to search connections, download PCAPs, detect sophisticated C2 beaconing, and analyze connection patterns and anomalies across DNS, HTTP, and TLS traffic. Essential for security monitoring and network forensics.

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.

This skill guides users on performing deep runtime threat detection and forensics in cloud-native environments using Falco. It leverages Falco YAML rules to monitor syscalls, detecting critical security events such as shell spawning, file tampering (e.g., /etc/shadow), network anomalies, and privilege escalation within containers and Kubernetes clusters. Ideal for incident response, security auditing, and validating container runtime security controls.

A comprehensive guide for digital forensics professionals on analyzing volatile memory dumps using Volatility 3. Learn to extract critical evidence, including running processes, network connections, loaded DLLs, system credentials, and detecting advanced threats like process hollowing and rootkits. Essential for incident response and malware analysis.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.