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Web interface for the Volatility Memory Forensics Framework https://github.com/volatilityfoundation/volatility

Short video demo: https://youtu.be/55G2oGPQHF8

Installation

This requires volatility to be a library, not just an EXE file sitting somewhere. Run these commands at python shell:

Download Volatility source zip from https://github.com/volatilityfoundation/volatility
Inside the extracted folder run:
setup.py install

Then install these dependencies:
pip install bottle
pip install yara <br/ > pip install distorm3 <br/ >

  • Note: you may need to prefix sudo on the above commands depending on your OS.
  • Note: You may also need to prefix python if it is not in your run path.
  • Note: Windows may require distorm3 download: https://pypi.python.org/pypi/distorm3/3.3.0

Usage

-f File containing the RAM dump to analyze
-p Volatility profile to use during analysis

!!! WARNING: NFS shares can lock or corrupt SQLite files. Try mounting share with 'nolock' option.

Features

  • Works with any Volatility module that provides a SQLite render method (some don't)
  • Automatically detects plugins - If volatility sees the plugin, so will eVOLve
  • All results stored in a single SQLite db stored beside the RAM dump
  • Web interface is fully AJAX using jQuery & JSON to pass requests and responses
  • Uses Bottle module in Python to provide a standalone web server
  • Option to edit SQL query to provide enhanced data views with data from multiple tables
  • Run plugins and view data from any browser - even a tablet!
  • Allow multiple people to review results of single RAM dump

Coming Features

  • Save custom queries for future use
  • Import/Export queries to share with others
  • Threading for more responsive interface while modules are running
  • Export/save of table data to JSON, CSV, etc
  • Review mode which requires only the generated SQLite file for better portability

Please send your ideas for features!



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