How to Install and Uninstall radamsa Package on openSUSE Leap
Last updated: November 26,2024
1. Install "radamsa" package
In this section, we are going to explain the necessary steps to install radamsa on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
radamsa
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2. Uninstall "radamsa" package
Please follow the instructions below to uninstall radamsa on openSUSE Leap:
$
sudo zypper remove
radamsa
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3. Information about the radamsa package on openSUSE Leap
Information for package radamsa:
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Repository : Main Repository
Name : radamsa
Version : 0.6-bp155.1.5
Arch : x86_64
Vendor : openSUSE
Installed Size : 693.8 KiB
Installed : No
Status : not installed
Source package : radamsa-0.6-bp155.1.5.src
Upstream URL : https://www.ee.oulu.fi/research/ouspg/Radamsa
Summary : A test case generator for robustness testing, aka a fuzzer
Description :
Radamsa is a test case generator for robustness testing, aka a fuzzer. It
can be used to test how well a program can stand malformed and potentially
malicious inputs. It operates based on given sample inputs and thus
requires minimal effort to set up. The main selling points of radamsa are
that it is easy to use, contains several old and new fuzzing algorithms, is
easy to script from command line and has already been used to find a slew
of bugs in programs that actually matter.
--------------------------------
Repository : Main Repository
Name : radamsa
Version : 0.6-bp155.1.5
Arch : x86_64
Vendor : openSUSE
Installed Size : 693.8 KiB
Installed : No
Status : not installed
Source package : radamsa-0.6-bp155.1.5.src
Upstream URL : https://www.ee.oulu.fi/research/ouspg/Radamsa
Summary : A test case generator for robustness testing, aka a fuzzer
Description :
Radamsa is a test case generator for robustness testing, aka a fuzzer. It
can be used to test how well a program can stand malformed and potentially
malicious inputs. It operates based on given sample inputs and thus
requires minimal effort to set up. The main selling points of radamsa are
that it is easy to use, contains several old and new fuzzing algorithms, is
easy to script from command line and has already been used to find a slew
of bugs in programs that actually matter.