Difference between pages "SIMCon" and "Research Topics"

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{{Infobox_Software |
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Interested in doing research in computer forensics? Looking for a master's topic, or just some ideas for a research paper? Here is our list. Please feel free to add your own ideas.
  name = SIMCon |
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  maintainer = [[InsideOut Forensics]] |
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  os = {{Windows}} |
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  genre = ??? |
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  license = {{Commercial}} |
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  website = [http://www.simcon.no/ simcon.no] |
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}}
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{{Wikify}}
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Many of these would make a nice master's project.
  
'''SIMCon''' is a program that securely images all files on a [[GSM]] [[SIM Card]] with a standard PC-SC [[smart card]] reader, either [[serial]] or [[USB]]. After imaging, the forensic investigator can then analyze the contents of the card. Specific information regarding stored numbers, call history, and text messages are available.
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=Programming Projects=
  
SIMCon is now Paraben's SIM Card Seizure
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==Small-Sized Programming Projects==
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* Modify [[bulk_extractor]] so that it can directly acquire a raw device under Windows. This requires replacing the current ''open'' function call with a ''CreateFile'' function call and using windows file handles.
 +
* Rewrite SleuthKit '''sorter''' in C++ to make it faster and more flexible.
  
== Features ==
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==Medium-Sized Programming Projects==
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* Create a program that visualizes the contents of a file, sort of like hexedit, but with other features:
 +
** Automatically pull out the strings
 +
** Show histogram
 +
** Detect crypto and/or stenography.
 +
* Extend [[fiwalk]] to report the NTFS alternative data streams.
 +
* Create a method to detect NTFS-compressed cluster blocks on a disk (RAW data stream). A method could be to write a generic signature to detect the beginning of NTFS-compressed file segments on a disk. This method is useful in carving and scanning for textual strings.
 +
* Write a FUSE-based mounter for SleuthKit, so that disk images can be forensically mounted using TSK.
 +
* Modify SleuthKit's API so that the physical location on disk of compressed files can be learned.
  
* Acquire all available files on a [[SIM Card]] and store in an archive file
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==Medium-Sized Research Projects==
* Analyze and interpret content of files
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* Develop an image processing program that can reliably detect screen shots. (Screen shots are useful to find on a hard drive because they can imply the presence of a remote control or surveillance program.)
* Recover deleted text messages stored on the card
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* Manage PIN and PUK codes
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* Compatible with [[SIM Cards]] and [[USIM Cards]]
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* Print reports of evidence
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* Secure file archive using hashing
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* Export items to popular spreadsheet programs
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* Supports international charsets
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* Contains a "content" view for plain text viewing of data, as well as a hexadecimal view for more specific analysis.
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== Data Acquisition ==
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==Big Programming Projects==
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* Develop a new carver with a plug-in architecture and support for fragment reassembly carving (see [[Carver 2.0 Planning Page]]). Also, have a look at my ([mailto:rainer.poisel@gmail.com Rainer Poisel]) file carver: [https://github.com/rpoisel/mmc Multimedia File Carver]. It allows for the reassembly of fragmented files (multimedia files and digital images at the moment). Please feel free to contact me in case you want to contribute to this emerging project!
 +
* Write a new timeline viewer that supports Logfile fusion (with offsets) and provides the ability to view the logfile in the frequency domain.
  
[http://www.simcon.no SIMCon] is also capable of aquiring the following data from a [[SIM Card]]:
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* Correlation Engine:
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** Logfile correlation
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** Document identity identification
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** Correlation between stored data and intercept data
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** Online Social Network Analysis
  
* Abbreviated Dialing Numbers (ADN),  
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* Find and download in a forensically secure manner all of the information in a social network (e.g. Facebook, LinkedIn, etc.) associated with a targeted individual.
* Last Dialed Numbers (LDN)
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** Determine who is searching for a targeted individual. This might be done with a honeypot, or documents with a tracking device in them, or some kind of covert Facebook App.
* Short Message Service (SMS)
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** Automated grouping/annotation of low-level events, e.g. access-time, log-file entry, to higher-level events, e.g. program start, login
* Public Land Mobile Network (PLMN) selector
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* Forbidden PLMNs, Location Information (LOCI)
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* General Packet Radio Service (GPRS) location
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* International Mobile Subscriber Identity (IMSI)
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* Integrated Circuit Card Identifier (ICCID)
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* Mobile Subscriber ISDN (MSISDN)
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* Service Provider Name (SPN)
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* Phase Identification
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* SIM Service Table (SST)
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* Language Preference (LP)
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* Card Holder Verification (CHV1) and (CHV2)
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* Broadcast Control Channels (BCCH)
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* Ciphering Key (Kc)
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* Ciphering Key Sequence Number
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* Emergency Call Code
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* Fixed Dialing Numbers (FDN)
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* Forbidden PLMNs
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* Local Area Identitity (LAI)
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* Own Dialing Number
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* Temporary Mobile Subscriber Identity (TMSI)
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* Routing Area Identifier (RIA) netowrk code
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* Service Dialing Numbers (SDNs)
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* Service Provider Name
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* Depersonalizatoin Keys
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All [[GSM]] cell phones today have a subscriber identity module (SIM) to identify the phone onto the network. [http://www.simcon.no SIMCon] is an application to acquire all of the information from the [[SIM Card]]
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=Reverse-Engineering Projects=
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==Reverse-Engineering Projects==
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=== Application analysis ===
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* Reverse the on-disk structure of the [[Extensible Storage Engine (ESE) Database File (EDB) format]] to learn:
 +
** Fill in the missing information about older ESE databases
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** Exchange EDB (MAPI database), STM
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** Active Directory (Active Directory working document available on request)
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* Reverse the on-disk structure of the Lotus [[Notes Storage Facility (NSF)]]
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* Reverse the on-disk structure of Microsoft SQL Server databases
  
The [[SIM Card]] provides secure storing of the key identifying a mobile phone service subscriber, subscription information, preferences and text messages. Network state information, such as the current location area identity (LAI), is also stored on the card. When a handset is turned off and then back on, it will search for the LAI that it was in, rather than having to search all frequencies that the phone operates in.  This saves time when trying to log on to the network. (Subscriber, 2006, para. 1)
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=== Volume/File System analysis ===
 +
* Analysis of inter snapshot changes in [[Windows Shadow Volumes]]
 +
* Add support to SleuthKit for [[FAT|eXFAT]], Microsoft's new FAT file system.
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* Add support to SleuthKit for [[Resilient File System (ReFS)|ReFS]].
 +
* Modify SleuthKit's NTFS implementation to support NTFS encrypted files (EFS)
 +
* Extend SleuthKit's implementation of NTFS to cover Transaction NTFS (TxF) (see [[NTFS]])
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* Physical layer access to flash storage (requires reverse-engineering proprietary APIs for flash USB and SSD storage.)
  
By using [http://www.simcon.no SIMCon] and a smart card reader, all of the above information and more can be pulled off of the card without knowing the PIN or the PUK of the card. The PIN and the PUK are ways to keep the information on the card secure. They also can be used as a security feature on the phone, not allowing anyone to use a phone to access the [[SIM Card]] without knowing the codes.
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==EnCase Enhancement==
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* Develop an EnScript that allows you to script EnCase from Python. (You can do this because EnScripts can run arbitrary DLLs. The EnScript calls the DLL. Each "return" from the DLL is a specific EnCase command to execute. The EnScript then re-enters the DLL.)
  
[http://www.simcon.no SIMCon] is an application developed by Inside Out Forensics in Norway.  It is designed for use by the law enforcement community, and it can be obtained free of charge by emailing [http://www.simcon.no SIMCon] and identifying the officers and unit.  However, for anyone outside the law enforcement community, it is not free. 
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= Timeline analysis =
 +
* Mapping differences and similarities in multiple versions of a system, e.g. those created by [[Windows Shadow Volumes]] but not limited to
  
== Review ==
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=Research Areas=
 +
These are research areas that could easily grow into a PhD thesis.
 +
* General-purpose detection of:
 +
** Stegnography
 +
** Sanitization attempts
 +
** Evidence Falsification (perhaps through inconsistency in file system allocations, application data allocation, and log file analysis.
 +
* Visualization of data/information in digital forensic context
 +
* SWOT of current visualization techniques in forensic tools; improvements; feasibility of 3D representation;
  
* [http://www.simcon.no SIMCon] makes the acquisition of data very easy, simply inserting the [[SIM Card]] to the appropriate [[SIM Card]] reader, and clicking acquire is all that is needed to start analyzing evidence.  After the acquisition of the data is complete SimCon will show the user a screen with two halves. 
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__NOTOC__
  
* On the left panel is the different data sectors of the [[SIM Card]] that can either be checked on or off depending on what is needed.  After choosing what data sectors are needed, the right panel will be populated with the selected data.  Some of the most useful pieces of information that are shown are: the International Mobile Subscriber Identity number, every contacts name and number, and all SMS messages sent and received both stored and deleted. 
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[[Category:Research]]
 
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* SIMCon also comes with two more handy features that are key to an investigation and in a court of law.  The first is [http://www.simcon.no SIMCon]s' feature that allows the printing of a report.  [http://www.simcon.no SIMCon] will format and populate a report with the contents of the users’ choosing.  This can list all the key pieces to an investigation and is an excellent piece of evidence to be used in a court of law.  The second feature is the exportation of the acquired data.  [http://www.simcon.no SIMCon] allows the exportation of all SMS messages and also of all contacts.  When these exported files are opened in a program such as Microsoft Excel the data can be read, sorted, and analyzed in a format of the users design. 
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* When SMS messages are exported [http://www.simcon.no SIMCon] automatically adds the following information about every message: file, item, status, service center, message type, number, time stamp, and text.  When the contacts are exported [http://www.simcon.no SIMCon] automatically adds the following information about every contact: file, item, identifier, and number.  For reference a report of an acquired [[SIM Card]] is enclosed as well as a document that tells what information is added into an exported file at the end of this document.
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* [http://www.simcon.no SIMCon] is known to have issues while imaging multiple cards in the same session of the program. These issues include the appearance of random characters in both the contacts list and in the [[SMS]]. These complications are outlined in the paper [[:Image:Huser_Timothy_SIMCon_paper.doc|Running head: SIM CARD FORENSICS WITH SIMCON SOFTWARE]] by [[User:Thuser|Timothy D. Huser]].
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* Currently there is no "data-dump" mode in which one can simply dump data exactly as it is on the card in order to have a more pure investigation of the contents. This has proven to be a major setback up to version 1.1, as the automatic parsing of information from the card sometimes leaves certain details unseen, especially in the content view.
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== External Links ==
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* [http://en.wikipedia.org/wiki/Subscriber_Identity_Module Wikipedia: Subscriber Identity Module]
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* [http://www.simcon.no/ InsideOut Forensics]
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Revision as of 11:38, 14 October 2012

Interested in doing research in computer forensics? Looking for a master's topic, or just some ideas for a research paper? Here is our list. Please feel free to add your own ideas.

Many of these would make a nice master's project.

Programming Projects

Small-Sized Programming Projects

  • Modify bulk_extractor so that it can directly acquire a raw device under Windows. This requires replacing the current open function call with a CreateFile function call and using windows file handles.
  • Rewrite SleuthKit sorter in C++ to make it faster and more flexible.

Medium-Sized Programming Projects

  • Create a program that visualizes the contents of a file, sort of like hexedit, but with other features:
    • Automatically pull out the strings
    • Show histogram
    • Detect crypto and/or stenography.
  • Extend fiwalk to report the NTFS alternative data streams.
  • Create a method to detect NTFS-compressed cluster blocks on a disk (RAW data stream). A method could be to write a generic signature to detect the beginning of NTFS-compressed file segments on a disk. This method is useful in carving and scanning for textual strings.
  • Write a FUSE-based mounter for SleuthKit, so that disk images can be forensically mounted using TSK.
  • Modify SleuthKit's API so that the physical location on disk of compressed files can be learned.

Medium-Sized Research Projects

  • Develop an image processing program that can reliably detect screen shots. (Screen shots are useful to find on a hard drive because they can imply the presence of a remote control or surveillance program.)

Big Programming Projects

  • Develop a new carver with a plug-in architecture and support for fragment reassembly carving (see Carver 2.0 Planning Page). Also, have a look at my (Rainer Poisel) file carver: Multimedia File Carver. It allows for the reassembly of fragmented files (multimedia files and digital images at the moment). Please feel free to contact me in case you want to contribute to this emerging project!
  • Write a new timeline viewer that supports Logfile fusion (with offsets) and provides the ability to view the logfile in the frequency domain.
  • Correlation Engine:
    • Logfile correlation
    • Document identity identification
    • Correlation between stored data and intercept data
    • Online Social Network Analysis
  • Find and download in a forensically secure manner all of the information in a social network (e.g. Facebook, LinkedIn, etc.) associated with a targeted individual.
    • Determine who is searching for a targeted individual. This might be done with a honeypot, or documents with a tracking device in them, or some kind of covert Facebook App.
    • Automated grouping/annotation of low-level events, e.g. access-time, log-file entry, to higher-level events, e.g. program start, login

Reverse-Engineering Projects

Reverse-Engineering Projects

Application analysis

Volume/File System analysis

  • Analysis of inter snapshot changes in Windows Shadow Volumes
  • Add support to SleuthKit for eXFAT, Microsoft's new FAT file system.
  • Add support to SleuthKit for ReFS.
  • Modify SleuthKit's NTFS implementation to support NTFS encrypted files (EFS)
  • Extend SleuthKit's implementation of NTFS to cover Transaction NTFS (TxF) (see NTFS)
  • Physical layer access to flash storage (requires reverse-engineering proprietary APIs for flash USB and SSD storage.)

EnCase Enhancement

  • Develop an EnScript that allows you to script EnCase from Python. (You can do this because EnScripts can run arbitrary DLLs. The EnScript calls the DLL. Each "return" from the DLL is a specific EnCase command to execute. The EnScript then re-enters the DLL.)

Timeline analysis

  • Mapping differences and similarities in multiple versions of a system, e.g. those created by Windows Shadow Volumes but not limited to

Research Areas

These are research areas that could easily grow into a PhD thesis.

  • General-purpose detection of:
    • Stegnography
    • Sanitization attempts
    • Evidence Falsification (perhaps through inconsistency in file system allocations, application data allocation, and log file analysis.
  • Visualization of data/information in digital forensic context
  • SWOT of current visualization techniques in forensic tools; improvements; feasibility of 3D representation;