This page holds the setup guide you will need before kicking off the datasploit in your system. Please note that all the documentation is as per *nix machines, and the tool has not been thoroughly tested on Windows platform. If you would like to volunteer for the same, give us a shout at email@example.com. Following are the quick steps to get you going:
If you want to work with web GUI, follow the steps till 7. Otherwise, follow till 5th and you should be good to go.
Step 1 - Download DataSploit to your system.
You can either use the git command line tools using the following command:
git clone https://github.com/upgoingstar/datasploit.git
, or you can simply download the zip file (link) and extract the same using unzip.
Step 2: Install python dependencies
Go into the tool directory and install all the python libraries using the requirements.txt file. In case you encounter 'Permission Denied' error, use sudo.
cd master pip install -r requirements.txt
Step 3: Rename config_sample.py to config.py
Please make sure that config.py is added in your gitIgnore file so that this is not commited in any case. We care for your data too, and hence this tip. :)
mv config_sample.py config.py
Step 4: Generate API Keys and paste inside config.py
Generate API keys using the api Key Generation guide at
and enter the respective values in config.py file. Leave all other key value pairs blank.
Step 5: Install MongoDB
Datasploit uses mongoDb in the backend and hence require a running instance of mongoDb in order to save and query data. Install the mongoDb database as per the instructions from the below mentioned site:
Create a directory for storing the db files, and Start the mongoDb service with this database path:
mkdir datasploitDb mongod --dbpath datasploitDb
Step 6: Install RabitMQ
Install rabbitMq so that celery framework can work efficiently. Use the following link for download and install instructions:
Step 7: Start all services:
brew services restart mongodb brew services restart rabbitmq C_FORCE_ROOT=root celery -A core worker -l info --concurrency 20 python manage.py runserver 0.0.0.0:8000
Congratulations, you are now good to go. Lets go ahead and run our automated script for OSINT on a domain.
python domainOsint.py <domain_name>