Re: [sleuthkit-developers] Few clarifications

[Brian C. <ca...@sl...>]

There have been some offline e-mails from Wiktor, but I wanted to reply to this one to the list for public archival and such.  You can refer to our PhotoRec module code as an example of running a command line tool.  It basically extracts the unallocated space files to local disk, runs PhotoRec on them, and parses the PhotoRec output.  It does a lot more than you may need for the Volatility module, but it is a starting point. 

https://github.com/sleuthkit/autopsy/blob/develop/Core/src/org/sleuthkit/autopsy/modules/photoreccarver/PhotoRecCarverFileIngestModule.java

For Volatility, you can either parse the output or simply refer the user to the output folder that you create. 

brian





On Nov 3, 2014, at 5:41 PM, Brian Carrier <ca...@sl...> wrote:

> Hi Wiktor,
> 
> What you have below is basically the easiest way to get started.  There is another way, but it is not well documented. You can create a "Data Source Processor" (http://sleuthkit.org/autopsy/docs/api-docs/3.1/interfaceorg_1_1sleuthkit_1_1autopsy_1_1corecomponentinterfaces_1_1_data_source_processor.html) to add the memory image in as a memory image and run Volatility at that point instead of as an ingest module, but it isn't documented as well as the other modules. 
> 
> Generally looks good.  The big question for me has always been what to do with the output of volatility.  You can either:
> 
> - parse the output and make Blackboard artifacts for the processes, ports, etc.  This will require new artifact types.
> - Drop the output into a folder and let the user browse it outside of Autopsy. You can call "Case.addReport()" to add a link to the output folder and then it will be shown in the Autopsy tree. 
> 
> brian
> 
> 
> 
> On Nov 2, 2014, at 3:45 PM, Wiktor Sypniewski <wik...@gm...> wrote:
> 
>> Hi Guys!
>> 
>> (short reminder of what am I trying to do I want to take Volatility
>> Framework - in Python and implement it in Autopsy)
>> 
>> I need few clarifications on what and how to do it:
>> 
>> So the way I was going to proceed with this is to:
>> 
>> 1. write File Ingest Module that will do points: 3 to 7
>> 2. import *.lime image of mobile phone memory/ram
>> 3. access this image from within my module
>> 4. access Volatility Framework from within my module (*.py files)
>> 5. run relevant plugins in VF in the *.lime image
>> 6. pipe output to Autopsy DB / file on disk - maybe *.txt
>> 7. display output in Autopsy window
>> 
>> Any suggestions?
>> 
>> Regards
>> Vic
>> 
>> -----------------------------------------------
>> www.bluegreenblack.com
>> www.thisfeelsgreat.blogspot.com
>> http://www.vajrayanaireland.org/
>> 
>> For sensitive information please use encryption.
>> 
>> Public key available at: http://pgp.mit.edu/
>> Figerprint: 3D8C 48ED 42BD 4004 D23C  C455 8D80 7FB4 2C4D 7801
>> 
>> ------------------------------------------------------------------------------
>> _______________________________________________
>> sleuthkit-developers mailing list
>> sle...@li...
>> https://lists.sourceforge.net/lists/listinfo/sleuthkit-developers
> 
> 
> ------------------------------------------------------------------------------
> _______________________________________________
> sleuthkit-developers mailing list
> sle...@li...
> https://lists.sourceforge.net/lists/listinfo/sleuthkit-developers