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author | B. Watson <yalhcru@gmail.com> | 2022-03-14 13:02:53 -0400 |
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committer | B. Watson <yalhcru@gmail.com> | 2022-03-17 12:38:14 -0400 |
commit | 13ebd0fe7a8ed88aace7bf182d9fb2f4e302f12c (patch) | |
tree | cdca428a554355e8ae45979e95d0063d8d733076 | |
parent | 6ffaabdb37289640f105e2d1c8dedd205bc7cfe1 (diff) | |
download | slackbuilds-13ebd0fe7a8ed88aace7bf182d9fb2f4e302f12c.tar.gz |
system/volatility: Wrap README at 72 columns.
Signed-off-by: B. Watson <yalhcru@gmail.com>
-rw-r--r-- | system/volatility/README | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/system/volatility/README b/system/volatility/README index f193110dfb..704828958d 100644 --- a/system/volatility/README +++ b/system/volatility/README @@ -3,9 +3,10 @@ Volatility Framework - Volatile memory extraction utility framework. The Volatility Framework is a completely open collection of tools, implemented in Python under the GNU General Public License, for the extraction of digital artifacts from volatile memory (RAM) samples. -The extraction techniques are performed completely independent of the -system being investigated but offer visibilty into the runtime state -of the system. The framework is intended to introduce people to the -techniques and complexities associated with extracting digital artifacts -from volatile memory samples and provide a platform for further work into -this exciting area of research. + +The extraction techniques are performed completely independent of +the system being investigated but offer visibilty into the runtime +state of the system. The framework is intended to introduce people to +the techniques and complexities associated with extracting digital +artifacts from volatile memory samples and provide a platform for +further work into this exciting area of research. |