In case you might have missed it during the holidays, the latest version of PyFlag now leverages the Volatility Framework to add volatile memory analysis (RAM Forensics) to it's outstanding list of capabilities. As a result, making PyFlag the first and only tool publically available that allows the digital investigator to correlate disk images, log files, network traffic, and RAM captures all within an intuitive interface. While the current functionality is still preliminary, just imagine the possibilities!
Since PyFlag loads memory images through its standard IO source interface, it is also now possible to store your memory images using the EWF format, commonly used in commercial tools. Once the memory image is uploaded to PyFlag, information can either be accessed through a browseable /proc interface or through the Stats view. Michael Cohen and his team have provided a tutorial and image to get you started.
As I mentioned in a previous post, a special thanks to Europol for bringing our teams together through the High Tech Crime Expert Meeting. I also want to thank Michael Cohen for the great work he has done with PyFlag and his contributions to Volatility! Stay tuned for further exciting collaborations and future Volatility releases in 2008!
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