A read-only browser forensics tool for analyzing Firefox and Chromium-based browser artifacts (credentials, cookies, history) for DFIR, security research, and educational use.

Hands-on lab for memory forensics on Linux using Volatility, covering memory dump analysis, process investigation, network connections, hidden data, malware detection, and browser artifacts extraction.

A collection of hands-on digital forensics projects focused on investigating and analyzing Windows operating system artifacts. Includes step-by-step methodologies for event log analysis, registry examination, file system forensics, browser artifact extraction, and data recovery.

A Digital Forensics and Incident Response (DFIR) toolkit written in Python, including tools for log analysis, file hashing, browser artifact extraction, and malware investigation.

A complete digital forensic investigation project demonstrating evidence acquisition, deleted file recovery, browser history analysis, metadata extraction, and professional forensic documentation using FTK Imager, OSFMount, Browser History Examiner, and ExifTool.

Hands-on lab for memory forensics on Linux using Volatility, covering memory dump analysis, process investigation, network connections, hidden data, malware detection, and browser artifacts extraction.

Sniper Studio is a high-precision, Rust-powered tool designed for web forensics, asset extraction, and complex browser automation. It combines low-level CDP (Chrome DevTools Protocol) control with a modern, block-based automation interface.

XtracTorq is your ultimate digital forensic solution, designed for seamless data extraction and analysis. Whether you need to retrieve system artifacts, browser history, or network logs, XtracTorq provides a fast, efficient, and secure way to collect forensic evidence.

WIP Vibe and shitcoded tool made specifically to make data extraction and forensics easier on whole system and browser dumps. Built in SQLite, LevelDB, IndexedDB, CSV, XML etc etc support, multi threaded INCREMENTAL (and reverse) filesystem indexing and parsing to quickly get through large amounts of data