OWASP D4N155

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 👷: D4N155 in docker 🎁, Web API D4N155 ☁️, Telegram bot 🤖

Install

Need to: Python3.6, Bash (GNU Bourne-Again SHell), Go

Optional: Git

Source

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

Docker

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

Manual

    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