Difference between pages "OpenBSD" and "Memory analysis"
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| − | ''' | + | '''Memory Analysis''' is the science of using a [[Memory Imaging|memory image]] to determine information about running programs, the [[operating system]], and the overall state of a computer. Because the analysis is highly dependent on the operating system, it has been divded into the following pages: |
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| + | * [[Windows Memory Analysis]] | ||
| + | * [[Linux Memory Analysis]] | ||
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| + | == OS-Independent Analysis == | ||
| + | |||
| + | At the IEEE Security and Privacy conference in May 2011, Brendan Dolan-Gavitt presented a novel system, [http://www.cc.gatech.edu/~brendan/Virtuoso_Oakland.pdf Virtuoso], that was able to perform operating-system independent memory analysis. Using virtual machine introspection accompanied by a number of formal program analysis techniques, his system was able to monitor the machine-level instructions and behavior of application actions (listing processes, network connections, etc) and then automatically generate Volatility plugins that replicated this analysis. | ||
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| + | == Encryption Keys == | ||
| + | |||
| + | Various types of encryption keys can be extracted during memory analysis. | ||
| + | * [[AESKeyFinder]] extracts 128-bit and 256-bit [[AES]] keys and [[RSAKeyFinder]] and private and public [[RSA]] keys from a memory dump [http://citp.princeton.edu/memory/code/]. | ||
| + | * [http://jessekornblum.com/tools/volatility/cryptoscan.py cryptoscan.py], which is a [[List of Volatility Plugins|plugin for the Volatility framework]], scans a memory image for [[TrueCrypt]] passphrases | ||
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| + | == See Also == | ||
| + | |||
| + | * [[Memory Imaging]] | ||
| + | * [[:Tools:Memory Imaging|Memory Imaging Tools]] | ||
| + | * [[:Tools:Memory Analysis|Memory Analysis Tools]] | ||
== External Links == | == External Links == | ||
| + | === Volatility Labs === | ||
| + | * [http://volatility-labs.blogspot.ch/2012/09/movp-11-logon-sessions-processes-and.html MoVP 1.1 Logon Sessions, Processes, and Images] | ||
| + | * [http://volatility-labs.blogspot.ch/2012/09/movp-12-window-stations-and-clipboard.html MoVP 1.2 Window Stations and Clipboard Malware] | ||
| + | * [http://volatility-labs.blogspot.ch/2012/09/movp-13-desktops-heaps-and-ransomware.html MoVP 1.3 Desktops, Heaps, and Ransomware] | ||
| + | * [http://volatility-labs.blogspot.ch/2012/09/movp-14-average-coder-rootkit-bash.html MoVP 1.4 Average Coder Rootkit, Bash History, and Elevated Processes] | ||
| + | * [http://volatility-labs.blogspot.ch/2012/09/movp-15-kbeast-rootkit-detecting-hidden.html MoVP 1.5 KBeast Rootkit, Detecting Hidden Modules, and sysfs] | ||
| − | + | [[Category:Memory Analysis]] | |
Revision as of 07:21, 15 September 2012
Memory Analysis is the science of using a memory image to determine information about running programs, the operating system, and the overall state of a computer. Because the analysis is highly dependent on the operating system, it has been divded into the following pages:
Contents |
OS-Independent Analysis
At the IEEE Security and Privacy conference in May 2011, Brendan Dolan-Gavitt presented a novel system, Virtuoso, that was able to perform operating-system independent memory analysis. Using virtual machine introspection accompanied by a number of formal program analysis techniques, his system was able to monitor the machine-level instructions and behavior of application actions (listing processes, network connections, etc) and then automatically generate Volatility plugins that replicated this analysis.
Encryption Keys
Various types of encryption keys can be extracted during memory analysis.
- AESKeyFinder extracts 128-bit and 256-bit AES keys and RSAKeyFinder and private and public RSA keys from a memory dump [1].
- cryptoscan.py, which is a plugin for the Volatility framework, scans a memory image for TrueCrypt passphrases