How to Install and Uninstall feroxbuster Package on Kali Linux

Last updated: May 19,2024

1. Install "feroxbuster" package

This tutorial shows how to install feroxbuster on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                feroxbuster
            
                    
    
    Copied

2. Uninstall "feroxbuster" package

Please follow the guidance below to uninstall feroxbuster on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                feroxbuster
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the feroxbuster package on Kali Linux

Package: feroxbuster
Version: 2.10.2-0kali1
Architecture: amd64
Maintainer: Kali Developers
Installed-Size: 11669
Depends: fonts-noto-color-emoji, seclists, libc6 (>= 2.34), libgcc-s1 (>= 4.2)
Homepage: https://github.com/epi052/feroxbuster
Priority: optional
Section: misc
Filename: pool/main/f/feroxbuster/feroxbuster_2.10.2-0kali1_amd64.deb
Size: 3497744
SHA256: f639e8d2d403a48f7812dd94b8f9d4aed76dab2c34d3410acf721c00b91abb52
SHA1: f1f5b58bd916a5d245db38ab38061e8867449bfb
MD5sum: b680c3284a9b065efe3f570fdb43b296
Description: fast, simple, recursive content discovery tool written in Rust
feroxbuster is a tool designed to perform Forced Browsing.
Forced browsing is an attack where the aim is to enumerate and
access resources that are not referenced by the web application,
but are still accessible by an attacker.
feroxbuster uses brute force combined with a wordlist to search
for unlinked content in target directories. These resources may
store sensitive information about web applications and operational
systems, such as source code, credentials, internal network
addressing, etc...
This attack is also known as Predictable Resource Location, File
Enumeration, Directory Enumeration, and Resource Enumeration.
Description-md5: