mkpath
Make URL path combinations using a wordlist
Read a wordlist file and generate path combinations for given domain or list of domains. Input from wordlist file is lowercased and unique words are processed. Additionally, wordlist can be filtered using regex.
When you use mkpath's -l
parameter, it will generate all path combinations up to the specified level, including all lower levels, using words from the wordlist. For instance, with -l 2
, it will generate len(permutation_list)^2 + len(permutation_list)
results, which is:
- 30 combinations for a 5-word wordlist.
- 10100 combinations for a 100-word wordlist.
- 250500 combinations for a 500-word wordlist.
Installation
Binary
Binaries are available in the latest release.
Docker
docker run quay.io/trickest/mkpath
From source
go install github.com/trickest/mkpath@latest
Usage
-d string
Input domain
-df string
Input domain file, one domain per line
-l int
URL path depth to generate (default 1) (default 1)
-lower
Convert wordlist file content to lowercase (default false)
-o string
Output file (optional)
-only-dirs
Generate directories only, files are filtered out (default false)
-only-files
Generate files only, file names are appended to given domains (default false)
-r string
Regex to filter words from wordlist file
-t int
Number of threads for every path depth (default 100)
-w string
Wordlist file
Example
wordlist.txt
dev
prod/
admin.py
app/login.html
$ mkpath -d example.com -l 2 -w wordlist.txt
example.com/dev
example.com/prod
example.com/dev/dev
example.com/prod/dev
example.com/dev/prod
example.com/prod/prod
example.com/dev/admin.py
example.com/dev/app/login.html
example.com/prod/admin.py
example.com/prod/app/login.html
example.com/dev/dev/admin.py
example.com/dev/dev/app/login.html
example.com/prod/dev/admin.py
example.com/prod/dev/app/login.html
example.com/dev/prod/admin.py
example.com/dev/prod/app/login.html
example.com/prod/prod/admin.py
example.com/prod/prod/app/login.html
Report Bugs / Feedback
We look forward to any feedback you want to share with us or if you're stuck with a problem you can contact us at [email protected]. You can also create an Issue or pull request on the Github repository.
Where does this fit in your methodology?
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