How to Install and Uninstall python3-libsigscan Package on Ubuntu 18.04 LTS (Bionic Beaver)

Last updated: November 07,2024

1. Install "python3-libsigscan" package

This is a short guide on how to install python3-libsigscan on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-libsigscan
            
                    
    
    Copied

2. Uninstall "python3-libsigscan" package

Please follow the guidance below to uninstall python3-libsigscan on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-libsigscan
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-libsigscan package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: python3-libsigscan
Architecture: amd64
Version: 20170124-2
Priority: optional
Section: universe/python
Source: libsigscan
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Forensics
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 212
Depends: libsigscan1 (= 20170124-2), libbfio1 (>= 20120425), libc6 (>= 2.14), libpython3.6 (>= 3.6.0~b2), python3 (<< 3.7), python3 (>= 3.6~)
Filename: pool/universe/libs/libsigscan/python3-libsigscan_20170124-2_amd64.deb
Size: 45912
MD5sum: 73b54c291dcef4a0d8513d371385df4b
SHA1: 555ff649b0a9e095e38ddf28d6cd95d2269b3ed9
SHA256: aa5863f5957306e2a34a446e34fee3f8508c5410955ad00f361cd6ef5630fc59
Homepage: https://github.com/libyal/libsigscan
Description: binary signature scanning library -- Python 3 bindings
Description-md5: c3e3ddf34244b73560cef2ccaade53aa