In this article we are going to learn the commands and steps to install afl++ package on Ubuntu 20.04 (Focal Fossa).
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Quick installation of afl++ Architecture: amd64 Version: 2.60c-1build2:
Step 1: Update system:
sudo apt-get update
Step 2: Install: afl++ Architecture: amd64 Version: 2.60c-1build2
Ater updaing the OS run following command to install the packae:
sudo apt-get install afl++ Architecture: amd64 Version: 2.60c-1build2
Package Details | |
Package: | afl++ Architecture: amd64 Version: 2.60c-1build2 |
Version: | 2.60c-1build2 |
Maintainer: | Ubuntu Developers |
Home page: | https://github.com/vanhauser-thc/AFLplusplus |
Description: | instrumentation-driven fuzzer for binary formats American fuzzy lop is a fuzzer that employs compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. This substantially improves the functional coverage for the fuzzed code. The compact synthesized corpora produced by the tool are also useful for seeding other, more labor- or resource-intensive testing regimes down the road. . afl++-fuzz is designed to be practical: it has modest performance overhead, uses a variety of highly effective fuzzing strategies, requires essentially no configuration, and seamlessly handles complex, real-world use cases - say, common image parsing or file compression libraries. . This package is a fork of the afl package that is no longer maintained. |
Distro: | Ubuntu 20.04 LTS |
Release: | |
Repo/Section: | universe/devel |
First of all update your system with the command:
sudo apt-get update
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Above command will download the package lists for Ubuntu 20.04 LTS on your system. This will update the list of newest versions of packages and its dependencies on your system.
After downloading the latest package list with the help of above you can run the installation process.
If afl++ Architecture: amd64 Version: 2.60c-1build2 is not installed on your compter then the command 'dpkg -L afl++ Architecture: amd64 Version: 2.60c-1build2' will give followin error.
deepak@deepak-VirtualBox:~$ dpkg -L afl++ [1mdpkg-query:[0m package 'afl++' is not installed Use dpkg --contents (= dpkg-deb --contents) to list archive files contents. deepak@deepak-VirtualBox:~$
Installing afl++ Architecture: amd64 Version: 2.60c-1build2:
After system update use the following command to install afl++ Architecture: amd64 Version: 2.60c-1build2:
sudo apt-get install afl++ Architecture: amd64 Version: 2.60c-1build2
Above command will confirm before installing the package on your Ubuntu 20.04 LTS Operating System. If you are not already logged in as su, installer will ask you the root password. After completion of the installation you can use the package on your system.
Now we will see the commands for uninstalling the afl++ Architecture: amd64 Version: 2.60c-1build2 from Ubuntu 20.04 LTS. For uninstalling this package you can easily use the apt command and remove the package from Linux Operating System.
To remove the afl++ Architecture: amd64 Version: 2.60c-1build2 following command is used:
sudo apt-get remove afl++ Architecture: amd64 Version: 2.60c-1build2
Following command is used to remove the afl++ Architecture: amd64 Version: 2.60c-1build2 package along with its dependencies:
sudo apt-get remove --auto-remove afl++ Architecture: amd64 Version: 2.60c-1build2
This will remove afl++ Architecture: amd64 Version: 2.60c-1build2 and all its dependent packages which is no longer needed in the system.
Completely removing afl++ Architecture: amd64 Version: 2.60c-1build2 with all configuration files:
Following command should be used with care as it deletes all the configuration files and data:
sudo apt-get purge afl++ Architecture: amd64 Version: 2.60c-1build2
or you can use following command also:
sudo apt-get purge --auto-remove afl++ Architecture: amd64 Version: 2.60c-1build2
Above command will remove all the configuration files and data associated with afl++ Architecture: amd64 Version: 2.60c-1build2 package. You can can't recover the delete data, so, use this command with care.