SP64(1) User Commands SP64(1)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 char‐
acters 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 statspro‐
cessor.
$ ./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 follow‐
ing 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.
sp64 v0.011 September 2016 SP64(1)
