Awesome

Description

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 (https://github.com/omerbenamram/mft) 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.

Requirement

pip install mft argparse tqdm pytz pytsk3 yara-python

Use

usage: mftmactime [-h] [-V] -f FILE -o OUTPUT [-m DRIVE] [-n] [-tz TIMEZONE] [-r RESIDENT] [-u USN] [-s OFFSET] [-d DUMP_PATH] [-y YARA_RULES] [-yc YARA_COMPILED]

Example

mftmactime.py -f /mnt/comp001/\$MFT -o comp001_fstl.csv -n

Example with dump resident files

mftmactime -f MFT -o test.csv -n -r recovery_output

Example of inode entries with USN Journal and MFT mixed data

Example of dump and process from RAW Evidence

mftmactime -n -f ../evidence/Testing/test-img.dd -u ../evidence/Testing/test-img.dd -o ./filesystem_tln.csv -d dump -r resindents

Example of run yara rules over resident files