How to Install and Uninstall cisco-torch Package on Kali Linux

Last updated: May 11,2024

1. Install "cisco-torch" package

Here is a brief guide to show you how to install cisco-torch on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                cisco-torch
            
                    
    
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2. Uninstall "cisco-torch" package

This guide let you learn how to uninstall cisco-torch on Kali Linux:


    
        
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                sudo apt remove
            
                        
                cisco-torch
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the cisco-torch package on Kali Linux

Package: cisco-torch
Version: 0.4b-1kali6
Architecture: all
Maintainer: Kali Developers
Installed-Size: 117
Depends: perl, libnet-telnet-perl, libnet-ssh2-perl, libnet-snmp-perl
Priority: optional
Section: net
Filename: pool/main/c/cisco-torch/cisco-torch_0.4b-1kali6_all.deb
Size: 28276
SHA256: 1612a49faa68e926ae7db7d11b0c131dd9ccf265ecfe74f8c709ddaee9847498
SHA1: 5cf718aba6010832ea473ccb0ec28b3e12becbe6
MD5sum: f96344d7fb48561cc92bfecf9c7488e9
Description: Cisco device scanner
The main feature that makes cisco-torch different from
similar tools is the extensive use of forking to launch
multiple scanning processes on the background for maximum
scanning efficiency. Also, it uses several methods of
application layer fingerprinting simultaneoulsy, if needed.
We wanted something fast to discover remote Cisco hosts
running Telnet, SSH, Web, NTP, TFTP and SNMP services and
launch dicitionary attacks against the services discovered,
including SNMP community attack (you would like the
community.txt list :-) and TFTP servers (configuration
file name bruteforcing with following config leeching). The
tool can also get device configurationfiles automatically
if SNMP RW community is found.
Description-md5: