How to Install and Uninstall foremost.x86_64 Package on Fedora 34
Last updated: November 27,2024
1. Install "foremost.x86_64" package
In this section, we are going to explain the necessary steps to install foremost.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
foremost.x86_64
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2. Uninstall "foremost.x86_64" package
Please follow the guidelines below to uninstall foremost.x86_64 on Fedora 34:
$
sudo dnf remove
foremost.x86_64
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$
sudo dnf autoremove
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3. Information about the foremost.x86_64 package on Fedora 34
Last metadata expiration check: 2:31:53 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : foremost
Version : 1.5.7
Release : 26.fc34
Architecture : x86_64
Size : 44 k
Source : foremost-1.5.7-26.fc34.src.rpm
Repository : fedora
Summary : Recover files by "carving" them from a raw disk
URL : http://foremost.sf.net
License : Public Domain
Description : Foremost recovers files files based on their headers, footers, and internal
: data structures. This process is commonly referred to as data carving.
: Foremost can work on a raw disk drive or image file generated by dd. The
: headers and footers can be specified by a configuration file or you can use
: command line switches to specify built-in file types. These built-in types
: look at the data structures of a given file format allowing for a more
: reliable and faster recovery.
Available Packages
Name : foremost
Version : 1.5.7
Release : 26.fc34
Architecture : x86_64
Size : 44 k
Source : foremost-1.5.7-26.fc34.src.rpm
Repository : fedora
Summary : Recover files by "carving" them from a raw disk
URL : http://foremost.sf.net
License : Public Domain
Description : Foremost recovers files files based on their headers, footers, and internal
: data structures. This process is commonly referred to as data carving.
: Foremost can work on a raw disk drive or image file generated by dd. The
: headers and footers can be specified by a configuration file or you can use
: command line switches to specify built-in file types. These built-in types
: look at the data structures of a given file format allowing for a more
: reliable and faster recovery.