Analyse passwords list

[CTu2y]

here is my python script implementaion of what you described.

./charanal.py wordlist > outfile

you will get a lot of output for the character frequency of all positions and for each possible position in a word,

if you make any changes please share them.

[Kgx Pnqvhm]

Meanwhile, have you seen the series "Quantifying and Ranking Wordlist Effectiveness Part 1: Methodology" at
http://benjaminellett.com/quantifying-an...thodology/

[thebluetoob]

Meanwhile, have you seen the series "Quantifying and Ranking Wordlist Effectiveness Part 1: Methodology" at
http://benjaminellett.com/quantifying-an...thodology/

Hey, this is Ben here, thanks for the plug to my site, I'm glad other people are finding it useful; regarding the thread topic, for wordlist analysis I used dictclean to remove any invalid UTF-8 characters and then Pipal to do the actual analysis which includes lengths, base words and hashcat mask generation.

I haven't tried out PACK but unfortunately I found Passpal would choke on the bigger files (it seemed to struggle with ~400MB wordlists) whereas Pipal handled them fine.

I've recently posted all of the pipal analyses generated along with graphs showing password length distribution in part 3 here.

[CTu2y]

to thebluetoob (Ben) - Thanks for your work.

I have now added password length distribution data to my script
Tested with a 3.8 GB wordlist which it processed given enough time.

./charanal.py wordlist > outfile