Body-outliers is a project mainly written in Python, it's free.
A Python script for finding outliers in fls bodyfiles (see The Sleuth Kit) based on given metadata elements like metadata address, atime, ctime, crtime and mtime.
body-outliers.py
author: Dave Hull
license: public domain
Like it's older sister, meta-outliers.py, body-outliers.py is a forensics
tool that analyzes the output of The Sleuth Kit's fls command. Unlike its
sister, body-outliers.py can only run against an fls bodyfile.
body-outliers.py calculates averages and standard deviations for metadata
elements on a per directory basis and will find outliers based on the
arguments provided by the user. The script supports two modes, an "and" mode
and an "or" mode. In "and" mode, both metadata elements must be outliers in
order for a file to be included in the output. In "or" mode only one of the
two elements must be an outlier. As with meta-outliers.py the number of
standard deviations that makes a file an outlier is configurable via the
command line.
For usage info:
./body-outliers.py -h
To do:
It's a secret.