mac_apt is a DFIR (Digital Forensics and Incident Response) tool designed to process Mac computer full disk images or live machines, extracting data and metadata crucial for forensic investigations. It is a Python-based framework with plugins for processing various artifacts like Safari internet history, network interfaces, and recently accessed files. Additionally, mac_apt now includes ios_apt for handling iOS images. It is cross-platform, supports multiple image formats, provides outputs in XLSX, CSV, TSV, and SQLite, and can handle compressed files. The tool also features native HFS and APFS parsing, reads Spotlight database and Unified Logging files, and supports macOS Big Sur sealed volumes.
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Modern digital forensics and incident response platform with comprehensive tools.
A reverse engineering framework with a focus on usability and code cleanliness
A recognition framework for identifying products, services, operating systems, and hardware by matching fingerprints against network probes.
Create checkpoint snapshots of the state of running pods for later off-line analysis.
Rekall is a discontinued project that aimed to improve memory analysis methodology but faced challenges due to the nature of in-memory structure and increasing security measures.
A DFVFS backed viewer project with a WxPython GUI, aiming to enhance file extraction and viewing capabilities.
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