Provided by: statsprocessor_0.11+git20160316-2_amd64
NAME
sp64 - word generator based on per-position Markov chains
SYNOPSIS
sp64 [options]... hcstat-file [filter-mask]
DESCRIPTION
Statsprocessor is a word generator based on per-position Markov chains packed into a single stand-alone binary. The resulting words can then, for example, be postprocessed and fed into Hashcat or other password recovery tools. sp by atom, High-Performance word generator based on hashcat markov stats * Startup: -V, --version Print version -h, --help Print help * Increment: --pw-min=NUM Start incrementing at NUM --pw-max=NUM Stop incrementing at NUM * Markov: --markov-disable Emulates maskprocessor output --markov-classic No per-position tables --threshold=NUM Filter out chars after NUM chars added Set to 0 to disable * Misc: --combinations Calculate number of combinations --hex-charset Assume charset is given in hex * Resources: -s, --skip=NUM skip number of words (for restore) -l, --limit=NUM limit number of words (for distributed) * Files: -o, --output-file=FILE Output-file * Custom charsets: -1, --custom-charset1=CS User-defineable charsets -2, --custom-charset2=CS Example: -3, --custom-charset3=CS --custom-charset1=?dabcdef -4, --custom-charset4=CS sets charset ?1 to 0123456789abcdef * Built-in charsets: ?l = abcdefghijklmnopqrstuvwxyz ?u = ABCDEFGHIJKLMNOPQRSTUVWXYZ ?d = 0123456789 ?s = !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~ ?a = ?l?u?d?s ?h = 8 bit characters from 0xc0 - 0xff ?D = 8 bit characters from german alphabet ?F = 8 bit characters from french alphabet ?R = 8 bit characters from russian alphabet
EXAMPLE
The following example was made just to see what comes out of statsprocessor. $ ./sp64.bin --pw-min 5 --pw-max 5 hashcat.hcstat ?l?l?l?l?l | head -9 In Markov chains we have a statistic generated which letter is following which letter based on the analysis of the original input dictionary used to generate the .hcstat. In this case the most used letter on the first position is the letter "s". The program then looks up the Markov table with the key "s" to get the most used letter after the letter "s" on position 0. In our case, it's the letter "a". This chain continues until the end of the word, iterating through all letters stored in the Markov table.
REPORTING BUGS
Please report bugs upstream to the statsprocessor issue tracker on GitHub: https://github.com/hashcat/statsprocessor/issues
COPYRIGHT
This tool is developed and maintained by Jens Steube under the MIT License.