MFTMactime Logo

MFTMactime

0
Free
Updated 11 March 2025
Visit Website

This is an MFT and USN parser that allows direct extraction in filesystem timeline format (mactime), dump all resident files in the MFT in their original folder structure and run yara rules over them all. It uses Omer BenAmram's great MFT rust parsing libraries, which allows a great speed and efficiency in the process. The integration with the USN Journal parser allows to have in the same timeline the combined MFT and USN data. You can use as input files either individual files derived from a triage or a forensic image in RAW format or a mixture of both modes. In case the input is RAW the artifacts will be dumped in a selected directory.

FEATURES

SIMILAR TOOLS

Python script to parse the NTFS USN Change Journal.

A read-only FUSE driver that enables Linux systems to mount and access Apple File System (APFS) volumes, including encrypted and fusion drives.

A command-line utility and Python package for mounting and unmounting various disk image formats with support for different volume systems and filesystems.

A command-line tool for searching and extracting strings from files with various options like ASCII and Unicode string search.

A library and tools to access and manipulate VMware Virtual Disk (VMDK) files.

Orochi is a collaborative forensic memory dump analysis framework.

A library to access and parse Windows XML Event Log (EVTX) format, useful for digital forensics and incident response.

Diffy is a digital forensics and incident response (DFIR) tool developed by Netflix's Security Intelligence and Response Team (SIRT) for scoping compromises across cloud instances.

Free software for extracting Microsoft cabinet files, supporting all features and formats of Microsoft cabinet files and Windows CE installation files.

CyberSecTools logoCyberSecTools

Explore the largest curated directory of cybersecurity tools and resources to enhance your security practices. Find the right solution for your domain.

Operated by:

Mandos Cyber • KVK: 97994448

Netherlands • contact@mandos.io

VAT: NL005301434B12

Copyright © 2025 - All rights reserved