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.

This comprehensive guide details the process of creating forensically sound, bit-for-bit disk images using industry-standard tools like `dd` and `dcfldd` on Linux systems. It covers essential steps including enabling write protection, documenting source metadata, performing the acquisition, and crucially, verifying the image integrity using cryptographic hashing (MD5/SHA-256). This methodology is vital for digital forensics, incident response, and legal proceedings to ensure evidence remains unaltered and admissible.

Hindsight is an open-source tool designed for digital forensics, parsing artifacts from various Chromium-based browsers (Chrome, Edge, Brave, etc.). It extracts and correlates all web activity data, including browsing history, cookies, cached content, downloads, and saved credentials, into a unified timeline. This tool is essential for incident response, insider threat investigations, and reconstructing user web activity in security and legal contexts.

A comprehensive guide for digital forensics professionals to investigate compromised Docker containers. It covers best practices for preserving container state, analyzing image layers, reviewing runtime logs, and examining host system artifacts to identify evidence of malicious activity, container escapes, or misconfigurations.

A comprehensive guide and workflow for digital forensics investigators to analyze raw email headers. This tool helps trace the true origin of suspicious emails, verify sender authenticity, and detect advanced spoofing techniques by validating crucial protocols like SPF, DKIM, and DMARC. It covers everything from header parsing to domain infrastructure analysis and IP reputation checks.

This skill provides a comprehensive guide to detecting and analyzing heap spray exploitation techniques from raw memory dumps. Utilizing Volatility3's advanced plugins (such as malfind and vadinfo), users can identify key forensic artifacts like NOP sled patterns, suspicious executable memory regions, and embedded shellcode. It is essential for malware analysts and digital forensics investigators conducting incident response.

A comprehensive guide for digital forensics analysts to investigate compromised Linux systems. This workflow details the collection and analysis of critical system artifacts, including authentication logs, shell histories, SSH keys, and system configurations. Use this methodology during incident response to detect rootkits, unauthorized persistence mechanisms, and reconstruct full attacker activity.

This skill details the forensic analysis of Windows LNK shortcut files and Jump Lists. These artifacts record critical user activity, including file access and program execution, even after the original source files have been deleted. It covers using specialized tools (LECmd, JLECmd) and Python parsing techniques to reconstruct user timelines, making it essential for incident response and deep digital forensics examinations.

This skill details advanced digital forensics techniques for recovering metadata and content of deleted files by analyzing the NTFS Master File Table ($MFT). It covers examining key system artifacts like $LogFile and $UsnJrnl, and analyzing MFT slack space. Use this when reconstructing file system timelines, investigating data loss, or detecting anti-forensic techniques like timestomping during a Windows forensic examination.

A comprehensive toolset for digital forensics investigators, enabling the parsing of proprietary Microsoft Outlook PST and OST files. It extracts critical evidence including full message content, detailed email headers (for message routing/tracing), attachments, and deleted items from the Recoverable Items folder. Essential for e-discovery, legal investigations, and security incident response to reconstruct communication patterns and analyze message metadata.

This tool is designed for advanced threat hunting and digital forensics. It analyzes Windows Event Logs (specifically Script Block Logging 4104 and Module Logging 4103) to detect artifacts left by the PowerShell Empire post-exploitation framework. Detection patterns include default launchers, Base64 payloads (WebClient, FromBase64String), known module invocations (e.g., Invoke-Mimikatz), and staging URL patterns, helping confirm C2 activity and lateral movement.

This tool correlates multiple system artifacts, including Windows registry keys (USBSTOR, MountedDevices), Event Logs, and SetupAPI logs, to reconstruct a detailed timeline of USB device usage. It determines first/last connection timestamps, tracks device provenance, and maps drive letter assignments. Essential for digital forensics investigations, insider threat detection, and verifying compliance regarding removable media usage.