Skill UI

Auto-activating skill that guides analysts through forensics data collector operations, aligning advanced security practices with compliance frameworks while generating validated code and configurations for enterprise deployments.

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.

This skill guides the process of analyzing Windows Prefetch (.pf) files to reconstruct a detailed program execution history. By parsing these system artifacts, users can determine which applications were run, how many times, and when. It is crucial for building forensic timelines, confirming suspicious binary execution during malware investigations, and localizing evidence in a Windows system.

A comprehensive skill for detecting advanced malware techniques, including DLL injection, process hollowing, APC injection, and thread hijacking. Utilizes memory forensics (Volatility), API monitoring (Sysmon), and behavioral analysis to identify malicious code artifacts and suspicious process activities in a deep defense context.

This skill provides comprehensive methods to detect Cobalt Strike beacon command-and-control (C2) traffic. It uses advanced network forensics techniques, including analyzing default TLS certificates (e.g., serial 8BB00EE), JA3/JA3S fingerprints, HTTP malleable profiles, and beacon interval jitter, leveraging Zeek logs, Suricata rules, and Python PCAP analysis. It is essential for threat hunters and SOC analysts investigating sophisticated C2 communications.

This tool builds a tamper-evident, append-only log chain using SHA-256 hash chaining. By incorporating the previous entry's hash into the current entry, any modification to an old log entry will invalidate all subsequent hashes, enabling pinpoint tamper detection. It supports various log formats (syslog, JSON, plain text) and is essential for compliance, digital forensics, and verifying log authenticity in security operations.

A comprehensive guide for conducting deep disk forensics investigations. This method covers secure evidence acquisition, creating bit-for-bit forensic images, analyzing file system structures (MFT, inodes), recovering deleted files, and reconstructing timelines using industry-standard tools like Autopsy, FTK Imager, and The Sleuth Kit. Essential for legal, HR, and security incident response.

This guide details the process of file carving using the Foremost tool in digital forensics. It demonstrates how to recover deleted or fragmented evidence (such as documents, images, and archives) from raw disk images or unallocated space by analyzing file headers and footers, independent of the file system's index. It also covers advanced techniques using custom signatures and high-performance alternatives like Scalpel.

This script systematically investigates all persistence mechanisms on Windows and Linux systems. It analyzes critical areas like the Windows Registry (SYSTEM, SOFTWARE, HKCU), scheduled tasks, and common run keys to identify how malware maintains access and survives system reboots. It is essential for advanced incident response, threat hunting, and digital forensics investigations.

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.

A comprehensive guide detailing the process of acquiring and analyzing data from smartphones and tablets. It covers best practices for device isolation, physical/logical acquisition using tools like Cellebrite UFED and open-source alternatives (ALEAPP, iLEAPP), and subsequent deep analysis of communications, call logs, and application artifacts for legal or corporate investigations.