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Volatility and Flamory

Flamory provides the following integration abilities:

  • Create and use window snapshots for Volatility
  • Take and edit Volatility screenshots
  • Automatically copy selected text from Volatility and save it to Flamory history

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Screenshot editing

Flamory helps you capture and store screenshots from Volatility by pressing a single hotkey. It will be saved to a history, so you can continue doing your tasks without interruptions. Later, you can edit the screenshot: crop, resize, add labels and highlights. After that, you can paste the screenshot into any other document or e-mail message.

Application info

Volatility is the open source memory forensics framework for incident response and malware analysis.

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 unprecedented 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 Volatility Framework demonstrates our committment to and belief in the importance of open source digital investigation tools . Volatile Systems is committed to the belief that the technical procedures used to extract digital evidence should be open to peer analysis and review. We also believe this is in the best interest of the digital investigation community, as it helps increase the communal knowledge about systems we are forced to investigate. Similarly, we do not believe the availability of these tools should be restricted and therefore encourage people to modify, extend, and make derivative works, as permitted by the GPL.

Integration level may vary depending on the application version and other factors. Make sure that user are using recent version of Volatility. Please contact us if you have different integration experience.