Print the filesystem statistics and exit
fiwalk [options] iso-name
fiwalk is a program that processes a disk image using the SleuthKit library and outputs its results in Digital Forensics XML, the Attribute Relationship File Format (ARFF) format used by the Weka Datamining Toolkit, or an easy-to-read textual format.
This application uses SleuthKit to generate a report of all of the files and orphaned inodes found in a disk image. It can optionally compute the MD5 of any objects, save those objects into a directory, or both.
-c config.txt read config.txt for metadata extraction tools
-C nn only process nn files, then do a clean exit
Include/exclude parameters; may be repeated:
-n pattern only match files for which the filename matches the pattern. Example: -n .jpeg -n .jpg will find all JPEG files. Case is ignored. Will not match orphan files.
Ways to make this program run faster:
-I ignore NTFS system files
-g just report the file objects - don't get the data
-O only walk allocated files
-b do not report byte runs if data not accessed
-z do not calculate MD5 or SHA1 values
-Gnn Only process the contents of files smaller than nn gigabytes (default 2). Use -G0 to remove space restrictions.
Ways to make this program run slower:
-M Report MD5 for each file (default on)
-1 Report SHA1 for each file (default on)
-f Report the output of the 'file' command for each
Output options: -m = Output in SleuthKit 'Body file' format
-A<file> ARFF output to <file>
-X<file> XML output to a <file> (full DTD)
-X0 Write output to filename.xml
-Z zap (erase) the output file
-x XML output to stdout (no DTD)
-T<file> Walkfile output to <file>
-a <audit.txt> Read the scalpel audit.txt file
Misc:
-d debug this program
-v Enable SleuthKit verbose flag
The Sleuth Kit was written by Brian Carrier <[email protected]>. This manual page was written by Joao Eriberto Mota Filho <[email protected]> for the Debian project (but may be used by others). The fcat help page was the source.