Bopscrk (Before Outset PaSsword CRacKing) is a tool to assist in all the previous process of password cracking. By now, it's able to generate smart and powerful wordlists.
The first idea was inspired by Cupp and Crunch. We could say that bopscrk is a wordlist generator situated between them, taking the best of each one. The challenge was try to apply the Cupp's idea to more generic-situations and amplify the shoot-range of the resultant wordlist, without loosing this custom-wordlist-profiler feature.
EXCLUDE WORDLISTS: Speed improvement using multithreaded exclusions.
NEW FEATURE: Lyrics searching related to artists to increase the wordlist chances.
How it works
- You have to provide some words which will act as a base.
- The tool will generate all possible combinations between them.
- To generate more combinations, it will add some common separators (e.g. "-", "_", "."), random numbers and special chars.
- You can enable leet and case transforms to increase your chances.
- If you enable lyricpass mode, the tool will ask you about artists and it will download all his songs' lyrics. Each line will be added as a new word. Then it will be transform in several ways (leet, case, only first letters, with and without spaces...). Artist names will be added too.
- You can provide wordlists that you already tried against the target in order to exclude all this words from the resultant wordlist (
- Python 2.7
- requests (optional, only if you want to use lyricpass)
- beautifulsoup4 (optional, only if you want to use lyricpass)
-h, --help show this help message and exit -i, --interactive interactive mode, the script will ask you about target -w words to combine comma-separated (non-interactive mode) --min min length for the words to generate (default: 4) --max max length for the words to generate (default: 32) -c, --case enable case transformations -l, --leet enable leet transformations -n max amount of words to combine each time (default: 2) -a , --artists artists to search song lyrics (comma-separated) -A, --lyrics-all enable all possible transforms with lyrics -x , --exclude exclude all the words included in other wordlists (several wordlists should be comma-separated) -o , --output output file to save the wordlist (default: tmp.txt)
- Fields can be left empty.
- Words have to be written without accents, just normal characters.
- In the others field you can write several words comma-separated. Example: 2C,Flipper.
- Using the non-interactive mode, you should provide years in the long and short way (1970,70) to get the same result than the interactive mode.
- You have to be careful with -n argument. If you set a big value, it could result in too huge wordlists. I recommend values between 2 and 5.
- To feed lyricpass with several artists through command line you should provides it comma-separated and quotes-enclosed. Example:
-a "john doe,john smith"
It will retrieve all lyrics from all songs which belongs to artists that you provide. As this feature can make the wordlist grow too much, by default it will store each phrase reduced to its initials (which will be transformed later if you have activated leet and case transforms). As one of the main methods to use lyrics as a password is to take just initials, It should be usually enough.
--lyrics-all, it will store the raw phrases too and apply some transforms over them (like convert spaces into dots and other special chars). This method is strongly unrecommended, because 5000 phrases could become 5.000.000 easily.
If you want to make an extensive and accurate lyrics-wordlist related to a target, better choice is to use it without any other words added (and maybe without leet and case transforms).
- Lyricpass still needs some tweaks to speed up the search process (I would appreciate any help).
This tool is created for the sole purpose of security awareness and education, it should not be used against systems that you do not have permission to test/attack. The author is not responsible for misuse or for any damage that you may cause. You agree that you use this software at your own risk.