It's an information security audit tool that creates intelligent wordlists based on the content of the target page.
Help us, See some calculations used
Ongoing projects :construction_worker:: D4N155 in docker :gift:, Web API D4N155 :cloud:, Telegram bot :robot:
Need to: Python3.6, Bash (GNU Bourne-Again SHell), Go
Optional: Git
git clone https://github.com/owasp/D4N155.git
cd D4N155
pip3 install -r requirements.txt
bash main
Or whithout git
wget -qO- https://github.com/owasp/D4N155/archive/master.zip | bsdtar -xf-
cd D4N155-master
pip3 install -r requirements.txt
bash main
In image:
FROM docker.pkg.github.com/owasp/d4n155/d4n155:latest
Cli:
docker pull docker.pkg.github.com/owasp/d4n155/d4n155:latest
docker run -it d4n155
D4N155: Tool for smart audit security
Usage: bash main <option> <value>
All options are optionals
Options:
-w, --wordlist <url|ip> Make the smartwordlist based in informations
on website.
-t, --targets <file> Make the smart-wordlist based in your passed
source informations in urls.
-b, --based <file> Analyze texts to generate the
custom wordlist
-r, --rate <time> Defines time interval between requests
-o, --output <file> For to store the all wordlist.
-?a, --aggressive Aggressive reading with headless
-h, --help Show this mensage.
Value: <url | ip | source | file | time>
URL URL target, example: scanme.nmap.org
IP IP address
TIME Time, example: 2.5. I.e: 00:00:02:30.. 0 are default
FILE File, for save the result, get urls or using in
wordlist