The goal of Truehunter is to detect TrueCrypt containers using a fast and memory efficient approach. It was designed as a PoC some time ago as I couldn't find any open source tool with the same functionality.

Just use with Python 2.7, it does not need any additional libraries.

The headers database file will be created with the first use, and can be updated after every scan. Note this is not a correct header database, just the first 4 bytes of every file, extension and date(It does the job as a PoC).

Fast Scan: Searchs for files with a size % 64 = 0 (block ciphers), unknown headers and appearing less than MAXHEADER value (default 3).
Default Scan: Performs a fast scan and calculates the entropy of the resulting files to reduce false positives.

usage: truehunter.py [-h] [-D HEADERSFILE] [-m MINSIZE] [-M MAXSIZE]
[-R MAXHEADER] [-f] [-o OUTPUTFILE]
LOCATION

Checks for file size, unknown header, and entropy of files to determine if
they are encrypted containers.

positional arguments:
LOCATION Drive or directory to scan.

optional arguments:
-h, --help show this help message and exit.
-D HEADERSFILE, --database HEADERSFILE
Headers database file, default headers.db
-m MINSIZE, --minsize MINSIZE
Minimum file size in Kb, default 1Mb.
-M MAXSIZE, --maxsize MAXSIZE
Maximum file size in Kb, default 100Mb.
-R MAXHEADER, --repeatHeader MAXHEADER
Discard files with unknown headers repeated more than
N times, default 3.
-f, --fast Do not calculate entropy.
-o OUTPUTFILE, --outputfile OUTPUTFILE
Scan results file name, default scan_results.csv

Truehunter
Author Andres Doreste
Copyright (C) 2015, Andres Doreste
License: GPLv3