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- Installation
- How to Install Volatility 2.6 in Kali
- As Volatility relies on certain Python 2 dependencies, we will need to install Python 2 Pip:
- Now that pip2 is installed, we can use it to get the Volatility dependencies:
- If you’re using it temporarily, you can simply clone the repo and run vol.py. Otherwise, you can run the python installer:
- Once the install is complete, you can verify by running vol.py in any context:
- You can use this automated script: bash script
- Volatility kali linux install
- Install Volatility on Kali Linux (including M1 Mac CPU)
- Volatility Evolved to GUI — Easy Memory (RAM) Forensics
- Extra Talks
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Installation
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Table of Contents
You can get the source code by either downloading a stable release or cloning from github. To do the latter, type:
$ git clone https://github.com/volatilityfoundation/volatility.git
This will create a volatility folder that contains the source code and you can run Volatility directory from there.
If you’re using the standalone Windows, Linux, or Mac executable, no installation is necessary — just run it from a command prompt. No dependencies are required, because they’re already packaged inside the exe.
If you’re using the Pyinstaller (Windows-only) executable, double click and follow through with the installation instructions (which basically consists of clicking Next a few times and then Finish). You must already have a working Python 2.7. Also see below for the dependency libraries.
If you downloaded the zip or tar source code archive (Windows, Linux, OSX) there are two ways to «install» the code:
- Extract the archive and run setup.py . This will take care of copying files to the right locations on your disk. Running setup.py is only necessary if you want to have access to the Volatility namespace from other Python scripts, for example if you plan on importing Volatility as a library. Pros: easy use as a library. Cons: more difficult to upgrade or uninstall.
- Extract the archive to a directory of your choice. When you want to use Volatility just do python /path/to/directory/vol.py . This is a cleaner method since no files are ever moved outside of your chosen directory, which makes it easier to upgrade to new versions when they’re released. Also, you can easily have multiple versions of Volatility installed at the same time, by just keeping them in separate directories (like /home/me/vol2.0 and /home/me/vol2.1 ). Pros: clean, easy to run multiple versions, easy to upgrade or uninstall. Cons: more difficult to use as a library.
This section does not apply to the standalone Windows executable, because the dependent libraries are already included in the exe. Also please note the majority of core Volatility functionality will work without any additional dependencies as well. You will only need to install packages if you plan on using specific plugins that leverage those packages (see recommended dependencies), or if you want to enhance your experience (see optional dependencies). Note: for Linux you may have to install a few other packages/libraries as prerequisites for the following recommended packages (Example: apt-get install pcregrep libpcre++-dev python-dev -y )
For the most comprehensive plugin support, you should install the following libraries. If you do not install these libraries, you may see a warning message to raise your awareness, but all plugins that do not rely on the missing libraries will still work properly.
- Distorm3 — Powerful Disassembler Library For x86/AMD64
- Dependent plugins
- apihooks
- callbacks
- impscan
- kdbgscan, pslist, modules etc for Windows 8/2012 machines
- the disassemble command in volshell, linux_volshell, and mac_volshell
- Dependent plugins
- yarascan, linux_yarascan, mac_yarascan
- Dependent plugins
- lsadump
- hashdump
- Dependent plugins
- screenshots
- Dependent plugins
- Any plugin that has been converted to unified format (with —output=xlsx option)
- Dependent plugins: anything using —output=html
The following libraries are optional. If they’re installed, Volatility will find and use them; otherwise an appropriate alternative method will be chosen.
- pytz for timezone conversion. Alternative: tzset (standard with Python)
- IPython for enhancing the volshell experience. Alternative: code (standard with Python)
- libforensic1394 for live analysis over firewire. Alternative: libraw1394
If you used setup.py to install Volatility, the files will be placed in a few standard locations. For example:
$ sudo python setup.py install . byte-compiling /usr/local/lib/python2.6/dist-packages/volatility/fmtspec.py to fmtspec.pyc byte-compiling /usr/local/lib/python2.6/dist-packages/volatility/utils.py to utils.pyc running install_scripts copying build/scripts-2.6/vol.py -> /usr/local/bin changing mode of /usr/local/bin/vol.py to 755 running install_data creating /usr/local/contrib/plugins copying contrib/plugins/example.py -> /usr/local/contrib/plugins copying contrib/plugins/psdispscan.py -> /usr/local/contrib/plugins . creating /usr/local/contrib/plugins/addrspaces copying contrib/plugins/addrspaces/ewf.py -> /usr/local/contrib/plugins/addrspaces copying contrib/plugins/addrspaces/ewf-python.py -> /usr/local/contrib/plugins/addrspaces running install_egg_info Writing /usr/local/lib/python2.6/dist-packages/volatility-2.1.egg-info
Unfortunately there is no uninstaller, and if you simply try to run setup.py for a new version of Volatility, you may end up with some mixed source files which will surely lead to trouble. So before you install a new version of Volatility, remove everything the previous setup.py created:
$ sudo rm -rf /usr/local/lib/python2.6/dist-packages/volatility $ sudo rm `which vol.py` $ sudo rm -rf /usr/local/contrib/plugins
Now you can run the setup.py for your new Volatility version. As stated above, please remember setup.py is only necessary if you plan on importing Volatility as a library from other Python scripts. If you just want to use Volatility, no installation is necessary (just extract the archive and run vol.py inside).
How to Install Volatility 2.6 in Kali
Volatility is no longer packaged with new Kali releases, but can be manually installed.
┌──(kali㉿kali)-[~/volatility] └─$ vol.py Volatility Foundation Volatility Framework 2.6.1 *** Failed to import volatility.plugins.registry.shutdown (ImportError: No module named Crypto.Hash) *** Failed to import volatility.plugins.getservicesids (ImportError: No module named Crypto.Hash) *** Failed to import volatility.plugins.timeliner (ImportError: No module named Crypto.Hash) *** Failed to import volatility.plugins.malware.apihooks (NameError: name 'distorm3' is not defined) *** Failed to import volatility.plugins.malware.threads (NameError: name 'distorm3' is not defined) *** Failed to import volatility.plugins.mac.apihooks_kernel (ImportError: No module named distorm3)
As Volatility relies on certain Python 2 dependencies, we will need to install Python 2 Pip:
wget https://bootstrap.pypa.io/pip/2.7/get-pip.py
sudo python2 get-pip.py # upgrade setup tools to avoid "invalid command egg_info" error
pip2 install --upgrade setuptools # install python-dev to avoid "x86_64-linux-gnu-gcc failed. " error
sudo apt-get install python-dev
Now that pip2 is installed, we can use it to get the Volatility dependencies:
If you’re using it temporarily, you can simply clone the repo and run vol.py. Otherwise, you can run the python installer:
git clone https://github.com/volatilityfoundation/volatility
sudo python setup.py install
Once the install is complete, you can verify by running vol.py in any context:
┌──(kali㉿kali)-[~] └─$ vol.py -h Volatility Foundation Volatility Framework 2.6.1 Usage: Volatility - A memory forensics analysis platform.
You can use this automated script: bash script
The install script will place the plugins directory to /usr/local/contrib/plugins
Volatility kali linux install
Install Volatility on Kali Linux (including M1 Mac CPU)
That is the single instruction how to install Volatility application on Kali Linux (including M1 Mac CPU).
INSTALLATION
#!/bin/bash
sudo apt-get update
sudo apt install -y python2.7
sudo apt install -y python-pip python-setuptools build-essential python2.7-dev
python -m pip install distorm3==3.4.4
python -m pip install pycrypto
git clone https://github.com/volatilityfoundation/volatility.git
chmod +x volatility/vol.py
sudo mv volatility /opt
sudo ln -s /opt/volatility/vol.py /usr/bin/vol.py
sudo ln -s /opt/volatility/vol.py /usr/bin/volatility
vol.py –infoADD PROFILES
git clone https://github.com/volatilityfoundation/profiles.git
cp -r PROFILE.ZIP /opt/volatility/volatility/plugins/overlays/linux
CREATE LINUX PROFILE
sudo apt-get install dwarfdump
cd /opt/volatility/tools/linux/
make #module.dwarf is created
zip file.zip /opt/volatility/tools/linux/module.dwarf /boot/System.map-3.11.0-17-genericzip $(lsb_release -i -s)_$(uname -r)_profile.zip /opt/volatility/tools/linux/module.dwarf /boot/System.map-$(uname -r)
DUMP LINUX MEMORY
Volatility Evolved to GUI — Easy Memory (RAM) Forensics
In previous, we learned how we can forensics of RAM using Volatility Framework. Now Volatility is a command line based tool (CLI) now we are going to learn how we can do the same using graphical user interface (GUI). Here we are gonna use Evolve to make Volatility GUI from CLI on our Kali Linux system.
First of all Volatility comes with Kali Linux repository, we can easily install it by using sudo apt install volatility command. But in this case we are afraid that this method of installation might not work here easily. So first we need to clone the Volatility Framework on our system by using following command:
git clone https://github.com/volatilityfoundation/volatility
After that, Volatility will be downloaded on our system as we can see in the following screenshot:
Now we need to navigate under the volatility directory by using following command:
Now we install it by using following command:
sudo python2 setup.py install
After providing our sudo password it will be installed on our system, as we can see on the next screenshot:
Once it completed we need to install some requirements to make it GUI, we run following four commands to do so:
pip2 install bottle yara distorm3 maxminddb
After then we need to clone Evolve from GitHub by using following command:
git clone https://github.com/JamesHabben/evolve
Here we need to clone evolve inside of volatility directory otherwise it will not gonna work, then we need to navigate inside evolve by using cd evolve command. As shown in the following screenshot:
Now we can analyze our acquired memory (RAM) on GUI. We have an sample of acquired memory on our Desktop (named cridex.vmem) to analyze. We can do it by simply using following command:
python2 evolve.py -f /home/kali/Desktop/cridex.vmem
We can see the output of the applied command in the following screenshot:
In the above screenshot we can see the localhost link where Evolve is running. We need to open this link on our browser to use Evolve, the web-based GUI of Volatility. We opened the link on our browser and loaded the pslist plugin of Volatility in the following screenshot:
We can see the plugin of Volatility on the left-hand side bar, even we can search for plugins. On the output we also can search for something in the result. To know more about Volatility Framework and the works of it’s plugins during Digital Forensics please check out our Volatility forensics tutorial.
Extra Talks
Volatility and Evolve both using Python2 and Python2-pip so we need to use python2 and pip2 commands. It will be good to make sure to run python2 -V and pip2 -V commands to check if they are working properly.
We also ignored some errors while installing pip2 modules and running evolve, but it works like a charm.
Evolve makes Volatility a Graphical User Interface tool from a Command Line Interface tool, which helps a lot for GUI lovers. Also the search options are grate. During forensics testing these search options helps a lot to find something inside these huge data.
This is how we can use Evolve and use Volatility as GUI tool on our Kali Linux system. Memory Forensics Testing is very crucial to know for Digital Forensics expert as well as cybersecurity experts. Hope this tutorial helps.
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- Dependent plugins