Difference between pages "How to make a simple forensic/investigation framework" and "Plaso"

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Often, forensic labs are overloaded and investigators complains about the long waiting time. The solution for both professionals is to reduce the amount of seized material.
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{{Infobox_Software |
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  name = plaso |
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  maintainer = [[Kristinn Gudjonsson]], [[Joachim Metz]] |
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  os = [[Linux]], [[Mac OS X]], [[Windows]] |
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  genre = {{Analysis}} |
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  license = {{APL}} |
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  website = [https://code.google.com/p/plaso/ code.google.com/p/plaso/] |
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}}
  
But how do you know if a computer is relevant without looking into it? And how to look into it in a fast and forensic acceptable way?
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Plaso (plaso langar að safna öllu) is the Python based back-end engine used by tools such as log2timeline for automatic creation of a super timelines. The goal of log2timeline (and thus plaso) is to provide a single tool that can parse various log files and forensic artifacts from computers and related systems, such as network equipment to produce a single correlated timeline. This timeline can then be easily analysed by forensic investigators/analysts, speeding up investigations by correlating the vast amount of information found on an average computer system. Plaso is intended to be applied for creating super timelines but also supports creating [http://blog.kiddaland.net/2013/02/targeted-timelines-part-i.html targeted timelines].
  
Many procedures are emerging around the world to allow the investigator to access seized computer data remotely, in a environment configured and maintained by the forensic professional. The investigator can perform an initial analysis, quickly pointing  the most important computers among all computers seized, speeding the subsequent forensic exam, which is more time consuming, and reducing the amount of computers in which the exam will be made.
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The Plaso project site also provides [[4n6time]], formerly "l2t_Review", which is a cross-platform forensic tool for timeline creation and review by [[David Nides]].
  
==Hardware==
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== Supported Formats ==
* Storage server(s) - server(s) with large storage capacity to keep the sized disk images.
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The information below is based of version 1.1.0
* Samba server - to be accessed by the investigators.
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==Software==
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=== Storage Media Image File Formats ===
*GNU/Linux
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Storage Medis Image File Format support is provided by [[dfvfs]].
*Samba
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*SquashFS
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*NFS(optional)
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==Installation==
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=== Volume System Formats ===
*Storage server:
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Volume System Format support is provided by [[dfvfs]].
**Install the GNU/Linux distribution of your choice.
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**Install the squashfs kernel-patch package and tools.
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**Install NFS or Samba to share the disk images with the 'Samba server'.
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**Install dcfldd, GNU ddrescue, or both, or stay with dd.
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*Samba server:
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=== File System Formats ===
**Install the GNU/Linux distribution of your choice.
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File System Format support is provided by [[dfvfs]].
**Install Samba.
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==Usage==
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=== File formats ===
===On the Storage server===
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* Apple System Log (ASL)
*Mirror the seized disk to a temporary folder:
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* Basic Security Module (BSM)
dcfldd if=/dev/sdXX of=/tmpstg/M090834/image.dd hash=md5 hashlog=/tmpstg/M090834/hashlog.md5 hashwindow=1G
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* Bencode files
or
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* [[Google Chrome|Chrome cache files]]
ddrescue /dev/sdXX /tmpstg/M090834/image.dd /tmpstg/M090834/ddrescue.log
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* CUPS IPP
*Compress the folder to a SquashFs image:
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* [[Extensible Storage Engine (ESE) Database File (EDB) format]] using [[libesedb]]
mksquashfs /tmpstg/M090834 /storage/M090834.squash
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* Firefox Cache
*Make sure the file is shared with the Samba server
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* [[Java|Java IDX]]
#cat /etc/exports
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* MacOS-X Application firewall
/storage samba_server(ro)
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* MacOS-X Keychain
===On the Samba server===
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* MacOS-X Securityd
*Add a line in /etc/fstab to access the squash files
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* MacOS-X Wifi
storage:/storage /storage nfs _netdev,ro,soft 0 0
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* ([[SleuthKit]]) mactime logs
*Add a line in /etc/fstab to access the dd images
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* McAfee Anti-Virus Logs
/storage/M090834.squash /mnt/materials/M090834/ squashfs ro,_netdev,loop
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* Microsoft [[Internet Explorer History File Format]] (also known as MSIE 4 - 9 Cache Files or index.dat) using [[libmsiecf]]
*Add a line to each partition in the dd image
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* [[OLE Compound File]] using [[libolecf]]
/mnt/materials/M090834/image.dd /mnt/mountpoints/M090834/C ntfs iocharset=utf8,offset=32256,loop 0 0
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* [[Opera|Opera Browser history]]
*Share the partition contents, modifying smb.conf
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* OpenXML
[M090834]
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* Pcap files
        path = /mnt/mountpoints/M090834
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* Popularity Contest log
        valid users = investigatorusername
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* [[Property list (plist)|Property list (plist) format]] using [[binplist]]
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* SELinux audit logs
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* SkyDrive log and error log files
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* [[SQLite database format]] using [[SQLite]]
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* Symantec AV Corporate Edition and Endpoint Protection log
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* Syslog
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* UTMP
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* UTMPX
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* [[Windows Event Log (EVT)]] using [[libevt]]
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* Windows Firewall
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* Windows Job files (also known as "at jobs")
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* [[Windows Prefetch File Format|Windows Prefetch File format]]
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* [[Windows#Recycle_Bin|Windows Recycle bin]] (INFO2 and $I/$R)
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* [[Windows NT Registry File (REGF)]] using [[libregf]]
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* [[LNK|Windows Shortcut File (LNK) format]] using [[liblnk]]
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* [[Windows XML Event Log (EVTX)]] using [[libevtx]]
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* Xchat and Xchat scrollback files
  
==Tips==
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=== Bencode file formats ===
*The number of loop devices can be increased at boot with the 'max_loop=512' kernel option.
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* Transmission
*May be necessary to specify the loop number in fstab, like 'ro,_netdev,loop=/dev/loopXX'.
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* uTorrent
*mkshashfs can be used to add new files to an existing squash image, so it is easy to group related materials together in a single file.
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 +
=== ESE database file formats ===
 +
* Internet Explorer WebCache format
 +
 
 +
=== OLE Compound File formats ===
 +
* Document summary information
 +
* Summary information (top-level only)
 +
 
 +
=== Property list (plist) formats ===
 +
* Airport
 +
* Apple Account
 +
* Bluetooth
 +
* Install History
 +
* iPod/iPhone
 +
* Mac User
 +
* Safari history
 +
* Software Update
 +
* Spotlight
 +
* Spotlight Volume Information
 +
* Timemachine
 +
 
 +
=== SQLite database file formats ===
 +
* Android call logs
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* Android SMS
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* Chrome cookies
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* [[Google Chrome|Chrome browsing and downloads history]]
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* [[Mozilla Firefox|Firefox browsing and downloads history]]
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* Google Drive
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* Launch services quarantine events
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* MacKeeper cache
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* Mac OS X document versions
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* Skype text conversations
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* [[Zeitgeist|Zeitgeist activity database]]
 +
 
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=== [[Windows Registry]] formats ===
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* [[Windows Application Compatibility|AppCompatCache]]
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* CCleaner
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* Less Frequently Used
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* MountPoints2
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* MRUList and MRUListEx (no shell item support)
 +
* [[Internet Explorer|MSIE Zones]]
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* Office MRU
 +
* Outlook Search
 +
* Run Keys
 +
* Services
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* Terminal Server MRU
 +
* Typed URLS
 +
* USBStor
 +
* UserAssist
 +
* WinRar
 +
* Windows version information
 +
 
 +
== History ==
 +
Plaso is a Python-based rewrite of the Perl-based [[log2timeline]] initially created by [[Kristinn Gudjonsson]]. Plaso builds upon the [[SleuthKit]], [[libyal]], [[dfvfs]] and various other projects.
 +
 
 +
== See Also ==
 +
* [[dfvfs]]
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* [[log2timeline]]
 +
 
 +
== External Links ==
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* [https://code.google.com/p/plaso/ Project site]
 +
* [https://sites.google.com/a/kiddaland.net/plaso/home Project documentation]
 +
* [http://blog.kiddaland.net/ Project blog]
 +
* [https://sites.google.com/a/kiddaland.net/plaso/usage/4n6time 4n6time]

Revision as of 00:52, 4 June 2014

plaso
Maintainer: Kristinn Gudjonsson, Joachim Metz
OS: Linux, Mac OS X, Windows
Genre: Analysis
License: APL
Website: code.google.com/p/plaso/

Plaso (plaso langar að safna öllu) is the Python based back-end engine used by tools such as log2timeline for automatic creation of a super timelines. The goal of log2timeline (and thus plaso) is to provide a single tool that can parse various log files and forensic artifacts from computers and related systems, such as network equipment to produce a single correlated timeline. This timeline can then be easily analysed by forensic investigators/analysts, speeding up investigations by correlating the vast amount of information found on an average computer system. Plaso is intended to be applied for creating super timelines but also supports creating targeted timelines.

The Plaso project site also provides 4n6time, formerly "l2t_Review", which is a cross-platform forensic tool for timeline creation and review by David Nides.

Supported Formats

The information below is based of version 1.1.0

Storage Media Image File Formats

Storage Medis Image File Format support is provided by dfvfs.

Volume System Formats

Volume System Format support is provided by dfvfs.

File System Formats

File System Format support is provided by dfvfs.

File formats

Bencode file formats

  • Transmission
  • uTorrent

ESE database file formats

  • Internet Explorer WebCache format

OLE Compound File formats

  • Document summary information
  • Summary information (top-level only)

Property list (plist) formats

  • Airport
  • Apple Account
  • Bluetooth
  • Install History
  • iPod/iPhone
  • Mac User
  • Safari history
  • Software Update
  • Spotlight
  • Spotlight Volume Information
  • Timemachine

SQLite database file formats

Windows Registry formats

  • AppCompatCache
  • CCleaner
  • Less Frequently Used
  • MountPoints2
  • MRUList and MRUListEx (no shell item support)
  • MSIE Zones
  • Office MRU
  • Outlook Search
  • Run Keys
  • Services
  • Terminal Server MRU
  • Typed URLS
  • USBStor
  • UserAssist
  • WinRar
  • Windows version information

History

Plaso is a Python-based rewrite of the Perl-based log2timeline initially created by Kristinn Gudjonsson. Plaso builds upon the SleuthKit, libyal, dfvfs and various other projects.

See Also

External Links