Volatility (Advanced Memory Forensics Framework) :: Framework

Volatility Framework is a Advanced Memory Forensics Framework. 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 commitment 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.

Capabilities :-

The Volatility Framework currently provides the following extraction capabilities for memory samples

• Image information (date, time, CPU count)
• Running processes
• Process SIDs and environment variables
• Open network sockets
• Open network connections
• DLLs loaded for each process
• Open handles to all kernel/executive objects (files, keys, mutexes)
• OS kernel modules
• Dump any process, DLL, or module to disk
• Mapping physical offsets to virtual addresses
• Virtual Address Descriptor information
• Addressable memory for each process
• Memory maps for each process
• Extract executable samples
• Scanning examples: processes, threads, sockets, connections, modules
• Command histories (cmd.exe) and console input/output buffers
• Imported and exported API functions
• PE version information
• System call tables (IDT, GDT, SSDT)
• API hooks in user- and kernel-mode (inline, IAT, EAT, NT syscall, winsock)
• Explore cached registry hives
• Dump LM/NTLM hashes and LSA secrets
• User assist and shimcache exploration
• Scan for byte patterns, regular expressions, or strings in memory
• Analyze kernel timers and callback functions
• Report on windows services

Tutorial ::

Download ::

Windows :: Volatility 2.3.1 Standalone  
Linux :: Volatility 2.3.1.tar.gz  
Mac :: Volatility Framework 
Source :: https://code.google.com/p/volatility/