Installation of Cansina Tool on Kali Linux OS

Step 1: Use the following command to install the tool in your Kali Linux operating system.

git clone https://github.com/deibit/cansina

Step 2: Now use the following command to move into the directory of the tool. You have to move in the directory in order to run the tool.

cd cansina

Step 3: You are in the directory of the Cansina. Now you have to install a dependency of the Cansina using the following command.

pip install -r requirements.txt

Step 4: All the dependencies have been installed in your Kali Linux operating system. Now use the following command to run the tool and check the help section.

python3 cansina.py -h

Reconnaissance is one of the first steps to conduct within a pen test engagement. During this stage, information is gathered using different tools and sources. Some web applications may hide web resources from the public, there is however a way to discover the hidden content. This hidden content can contain some sensitive data about the internal architecture of the web application. Although for detecting this hidden content, we can try the hit and trial method by checking the response code of the request performed on the domain server, this process becomes more complicated if the scope of the application is vast. So we can perform an automation process for discovering the hidden content. Cansina is an automated script developed in the Python language which performs hidden content discovery by using the methodology of request and response. The Cansina tool is open source and free to use.

Note: Make Sure You have Python Installed on your System, as this is a python-based tool. Click to check the Installation process: Python Installation Steps on Linux