Difference between pages "RFID" and "Plaso"

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RFID stands for Radio Frequency IDentification. It typically applies to a technology that uses radio waves to automatically identify people or objects.  While there are various ways to identify, the most common is to store a serial number that represents a person or object identity and possibly other information, on a microchip that is attached to an antenna. Collectively the microchip and antenna represent a RFID transponder or an RFID tag. The antenna gives the chip ability to transmit identity information to a RFID reader. Then the RFID reader converts the radio waves into digital information that can then be passed to the computer for usage. RFID has been around since the 1970s. Since the radio waves from the low end of the electromagnetic spectrum, waves are safe as  radio waves from a car radio.  
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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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}}
  
RFID and Bar codes are different technologies and have different applications.  The big difference between the two is bar codes are line-of-sight technology. A scanner requires a bar code be brought towards a scanner in order for it to be read. RFID on the other hand, doesn’t require line of sight. RFID tags can be read as long as they are within range of a RFID reader. If a label is somehow removed or damaged there is no way to scan the item.
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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].
  
Currently many forms and sizes such as personal items, services, and products use RFID worldwide. Currently in the United States, most public transportation such as trains, buses, and restaurants such as Mcdonald's all carry RFID receptacles that allow credit card transactions using MasterCard's PayPass. MasterCard PayPass is the payment feature that can be added to any MasterCard payment account to enable payments with a simple tap. PayPass is flexible enough that it can be built into cards or other devices such as key fobs, and can be used in markets that primarily issue smart cards or those that primarily issue magnetic stripe cards.  
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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]].
  
InfoSync reported that, Motorola and MasterCard are conducting field tests of new mobile phones that include Radio Frequency Identification (RFID) chips embedded in them as part of a cashless payment system dubbed PayPass. The phones will be equipped with Near Field Communication (NFC) systems, which will allow them to communicate with nearby readers to, for instance, pay for small purchases or tickets for transit or events simply by passing their phone close to a reader.
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== Supported Formats ==
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The information below is based of version 1.1.0
  
Once the phone and account has been identified by the RFID tag, the user's MasterCard account will be billed automatically by the network for the appropriate amount. MasterCard also sees potential for the phones as contactless readers, which it claims opens the door for "a variety of marketing a
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=== Storage Media Image File Formats ===
1000
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Storage Medis Image File Format support is provided by [[dfvfs]].
nd promotional applications", on which the company did not elaborate further.
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The PayPass trials will be run by the end of the 2006 at various locations in the United States.
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=== Volume System Formats ===
 +
Volume System Format support is provided by [[dfvfs]].
 +
 
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=== File System Formats ===
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File System Format support is provided by [[dfvfs]].
 +
 
 +
=== File formats ===
 +
* Apple System Log (ASL)
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* Basic Security Module (BSM)
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* Bencode files
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* [[Google Chrome|Chrome cache files]]
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* CUPS IPP
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* [[Extensible Storage Engine (ESE) Database File (EDB) format]] using [[libesedb]]
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* Firefox Cache
 +
* Java IDX
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* MacOS-X Application firewall
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* MacOS-X Keychain
 +
* MacOS-X Securityd
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* MacOS-X Wifi
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* ([[SleuthKit]]) mactime logs
 +
* McAfee Anti-Virus Logs
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* Microsoft [[Internet Explorer History File Format]] (also known as MSIE 4 - 9 Cache Files or index.dat) using [[libmsiecf]]
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* [[OLE Compound File]] using [[libolecf]]
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* Opera Browser history
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* OpenXML
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* Pcap files
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* Popularity Contest log
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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 files
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* 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
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=== Bencode file formats ===
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* Transmission
 +
* uTorrent
 +
 
 +
=== ESE database file formats ===
 +
* Internet Explorer WebCache format
 +
 
 +
=== OLE Compound File formats ===
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* Document summary information
 +
* Summary information (top-level only)
 +
 
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=== Property list (plist) formats ===
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* Airport
 +
* Apple Account
 +
* Bluetooth
 +
* Install History
 +
* iPod/iPhone
 +
* Mac User
 +
* Safari history
 +
* Software Update
 +
* Spotlight
 +
* Spotlight Volume Information
 +
* Timemachine
 +
 
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=== SQLite database file formats ===
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* 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)
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* [[Internet Explorer|MSIE Zones]]
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* Office MRU
 +
* Outlook Search
 +
* Run Keys
 +
* Services
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* Terminal Server MRU
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* Typed URLS
 +
* USBStor
 +
* UserAssist
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* WinRar
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* Windows version information
 +
 
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== 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.
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== See Also ==
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* [[dfvfs]]
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* [[log2timeline]]
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== External Links ==
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* [https://code.google.com/p/plaso/ Project site]
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* [https://sites.google.com/a/kiddaland.net/plaso/home Project documentation]
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* [http://blog.kiddaland.net/ Project blog]
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* [https://sites.google.com/a/kiddaland.net/plaso/usage/4n6time 4n6time]

Revision as of 01:47, 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