Installation of Fierce Tool on Kali Linux

Step 1: Check whether Python Environment is Established or not, use the following command.

python3

Step 2: Open up your Kali Linux terminal and move to the Desktop directory using the following command.

cd Desktop

Step 3: You are on Desktop now, create a new directory called Fierce using the following command. In this directory, we will complete the installation of the Fierce tool.

mkdir Fierce 

Step 4: Now switch to the Fierce directory using the following command.

cd Fierce 

Step 5: Now you have to install the tool. You have to clone the tool from Github.

git clone git clone https://github.com/mschwager/fierce.git

Step 6: The tool has been downloaded successfully in the Fierce directory. Now list out the contents of the tool by using the below command.

ls

Step 7: You can observe that there is a new directory created for the Fierce tool that has been generated while we were installing the tool. Now move to that directory using the below command:

cd fierce 

Step 8: Once again to discover the contents of the tool, use the below command.

ls

Step 9: Download the required packages for running the tool, use the following command.

pip3 install -r requirements.txt

Step 10: Now we are done with our installation, Use the below command to view the help (gives a better understanding of the tool) index of the tool.

python3 fierce/fierce.py -h

Fierce – DNS reconnaissance tool for locating non-contiguous IP space

Understanding the network structure of the organization is very important. So to locate targets both inside and outside a corporate network there is a tool designed in the Python Language known as Fierce. This tool is different from other tools as its main objective is to locate non-contiguous IP spaces and hostnames against specified domains or subdomains. The Fierce tool doesn’t scan the total internet for our results but the results which it finds are really helpful in the process. This tool is open-source and free to use. The Fierce tool is very easier to use due to its tags of flags features.

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

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