gorilla is the ultimate wordlist tool packing a lot of amazing utilities like:

• building wordlists based on patterns (like crunch)
• building wordlists based on common password/username formats (like cupp)
• scrap a web page and build a wordlist from its words (like cewl)
• extending existing wordlists using mutations (like hashcat's rule based attack)

cargo build --release
# the binary will be located in target/release folder

The --from-pattern/-p argument is used to tell gorilla to compute passwords based on a pattern. For example, the following command will print every single word containing 5 lowercase letters.

gorilla --from-pattern "{a-z}{a-z}{a-z}{a-z}{a-z}"

Other examples of patterns are administrator{0-9} (administrator0 -> administrator9); hello_world{a-z}{0-9} (hello_worlda0 -> hello_worldz9).

If you want to save the output to a file, you can use the --output-file/-o argument.

Gorilla now also supports character sets. They are defined in src/char_sets.rs. Here are some examples of patterns that use them: {l} => a b c d ... z; {u} => A B C D ... Z; {d} => 1 2 3 4 ... 9; {s} => (space) ! " # $ ... ~

Using the command line arguments you can do any mutation that is supported but you are only limited to only 1 set of mutations. A mutation set is a set of mutations applied to a word. Via the cli, mutations are supplied via the --mutation/-m argument.

gorilla --from-pattern "administrator" --mutation "prepend:_"

Usually you will want to use the --from-file/-i argument instead of --from-pattern in this case to specify a wordlist instead of a single word, but to keep things simple, I will use that.

The above command takes in 1 word and outputs 1 word: _administrator. You can add multiple mutations using the same parameter.

gorilla --from-pattern "administrator" \
  -m "prepend:_" \
  -m "append:{0-9}"

This once again takes 1 single word, but will output 10 different ones. Adding the {0-9} syntax to prepend & append will result in multiple words getting generated. The above command generates the following words.

_administrator0
_administrator1
_administrator2
[.. snip ..]
_administrator8
_administrator9

If we were to supply a wordlist via the -i file, we'd get back the amount of words we had in that wordlist times 10.

So far we only applied 1 single set of mutations. Usually you will want to combine multiple of these. This is done via the yaml files. You specify one using the --mutations-file/-f argument. An example one is located in sets/simple.yml file in this repo and it looks like this:

name: simple

mutation_sets:
  - [ nothing ] # => word
  - [ reverse ] # => drow
  - [ remove_last_letter ] # => wor
  - [ remove_first_letter ] # => ord
  - [ uppercase_all ] # => WORD
  - [ "append:{0-9}" ] # => word1, word2, word3
  - [ "2 append:{0-9}" ] # => word11, word22, word33
  - [ "replace:o:0", "replace:a:4", "replace:e:3" ] # => w0rd, h3ll0

Each mutations file has to have a name and a mutation_sets value as shown in the example. The above mutation sets will generate, from a single word, 27 other words.

administrator
administrator
rotartsinimda
administrato
dministrator
ADMINISTRATOR
administrator0
[.. snip ..]
administrator9
administrator00
[.. snip ..]
administrator99
4dministr4t0r

If you'd like to check your mutation file for errors before using it, you can use the following syntax to parse and print the summary.

gorilla --mutations-file muts.yml 

(For now) you can only scrap a specific page for words and styles and script tags won't be removed, this wil be implemented in a future release of gorilla.

You can specify a page using the --from-website/-w argument. For example

gorilla --from-website https://example.org/

The above command will print every word from that website. You can add other arguments shown previously like --mutations-file/-f, --mutation/-m and of course --output-file/-o to save them (instead of printing).

You can apply a set of mutations to specific words that meet certain conditions/condition. This only makes sense in yaml files.

The following mutations file will remove words that don't contain the string admin. Unlike the previous mutations, this can remove words.

name: filtering_words

mutation_sets:
  - [ "if_contains:admin" ]

Another example is the following, which will add an underscore only to words that are longer than 5 characters.

name: conditional_mutation

mutation_sets:
  - [ "if_length:>5", "append:_" ],
  - [ "! if_length:>5" ]

Notice we had to add another mutation set that begins with the negated version of the first if mutation because otherwise the words that are shorter than 6 characters will be removed.

gorilla supports many other mutations and since the tool is in early development it would be very painful to maintain a list of them here. If you are curious about the other mutations, you can check out the Action enum from src/mutation.rs file.

Formats are defined in formatting sets via yaml files and are supplied to gorilla via the --from-formatting/-q argument. Currently there's only one formatting set made, it is located at sets/formatting/basic_usernames.yml. And it looks (similar) to this.

name: basic_usernames

fields:
  - [ f_name ]
  - [ l_name ]

formatting_sets:
  - [ "{f_name}_{l_name}" ]
  - [ "{l_name}{f_name}" ]
  - [ ["{f_name}", [1st_letter]], "_{l_name}" ]
  - [ ["{f_name}", [1st_letter]], "{l_name}" ]

The required fields are name, fields and formatting_sets. The fields value is the user's profile and it contains information that is later used in the formatting_sets.

If you run the set, you will be prompted for each field and the usernames will be generated.

(of course, you can use the other arguments normally, like --mutations-file/-f to generate new words via mutations or --output-file/-o to save the words)

Each formatting set is an array of strings that are later appended. So ["{f_name}", "{l_name}"] is equivalent to ["{f_name}{l_name}"]. Instead of a string, you can supply an array, this allows you to apply mutations that you have used before to extend wordlists.

- [ "{f_name}_", [ "{l_name}", [ reverse ] ] ]

If the f_name is joe and l_name is doe, the resulting formatting will generate joe_eod. Mutations useful in formatting sets are remove_last_letter, remove_first_letter and 1st_letter

If you want to apply a formatting sets to many user profiles, you can use the --with-csv/-c argument to supply a CSV file. For the basic_usernames formatting set, the CSV should be formatted like this:

f_name,l_name
joe,doe
james,smith
robert,smith