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Extract your data easily using TULP2G. TULP2G is a forensic software framework for extraction and decoding of data stored in electronic devices. In object-oriented systems a framework is defined as “a set of classes that embodies an abstract design for solutions to a number of related problems”. For the TULP2G framework the solutions are so called plug-ins for data extraction and data decoding and the problems are all related to forensic extraction and decoding of data stored in electronic devices. By using XML as data storage format, existing tools can be used for those purposes. The TULP2G framework is open source software which means that everybody has the opportunity to develop plug-ins which can be used with the framework. In this way the NFI wants to stimulate efforts in the area of embedded system forensics and promote standard operating procedures.
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Extract your data easily using TULP2G. TULP2G is a forensic software framework for extraction and decoding of data stored in electronic devices. In object-oriented systems a framework is defined as “a set of classes that embodies an abstract design for solutions to a number of related problems”. For the TULP2G framework the solutions are so called plug-ins for data extraction and data decoding and the problems are all related to forensic extraction and decoding of data stored in electronic devices. By using XML as data storage format, existing tools can be used for those purposes. The TULP2G framework is open source software which means that everybody has the opportunity to develop plug-ins which can be used with the framework. In this way the NFI wants to stimulate efforts in the area of embedded system forensics and promote standard operating procedures. How to install the TULP2G Framework: (This is a highly recommended install as its auto-updates) 1) Install the TULP2G Framework from our download page. 2) You can find the INF file for your device there. 3) Run the INF file you’ve downloaded. 4) Windows users: Right click on the process and select “kill children”. 5) Open processes and select the process which has the same name as the folder name. (You can open these files in the archive manager) 6) Processes will be at the end of the folders. 7) Select the process. 8) Select the arrow next to action and select “run as administrator” 9) Enter the text “tulp2g” and click ok. 10) Double click the “tulp2g.exe” and click ok. 11) Drag the “tulp2g.exe” in the Start menu to launch with the system. 12) TULP2G will start and login to your start menu. 14) Select a TULP2G plug-in to use. For more information how to create the INF files for your device contact us at: nfipic@nfipic.net System Requirements: TULP2G Framework: Operating system: Windows Vista SP2 and later, Windows 7 Memory: 1 gigabyte or greater, recommended is 2 gigabytes Processor: A Pentium 4
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TULP2G does not focus on one particular way to extract data but instead allows various tools to be used as plug-ins in a unified database. The majority of other extraction tools require that the entire content of the object is known in advance. Sometimes this is not possible if the data has been overwritten or if physical access to the object is prohibited. TULP2G does not focus on an individual way to extract data but rather on a standardized way to extract data from all types of objects. By using XML as data storage format, hundreds of different tools can be used to extract data from a variety of objects. However, prior to extraction the object must be converted to a format in which TULP2G can extract data. This conversion process is called building. Extraction is then triggered by executing a command. Methods For every extraction method the following steps are required: 1. Building 2. Extracting 3. Displaying 4. Queuing TULP2G has a set of predefined methods for the above mentioned steps. New methods can be added and are requested by user through specifications (see External Links). TULP2G uses the term method as a generic term for a sub-component that performs the steps of a specific data extraction method. All methods receive parameters and return a result in the form of an XML document. The parameters are described in a XML document and can be retrieved by a database. Example of a method A method example looks as follows: Get EPROCESSNTDATA 5 0x80000001 2f7fe94e24
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The main purpose of this project is to develop a framework and a set of powerful plug-ins for information extraction and decoding. These plug-ins are required to support a wide range of electronic devices and software types and to be able to produce output in a wide range of format types. For the purpose of the framework the following characteristics are taken into account: – The framework can be used to read and extract data from a wide range of devices, making it possible to use the same code base for most devices. – The framework is object oriented, giving it a configurable architecture and architecture flexibility. This makes the framework useful for supporting a wide range of types of embedded device forensic solutions. – The framework is designed to support the capture, analysis and recovery of data, including meta-data, where the primary nature of the data is of a computer nature (such as Word documents, Excel spreadsheets, XML files, etc.). – The framework is designed to support the cross-version analysis of data, and the analysis of data stored in a wide variety of formats. – The plug-ins have a generic design, giving the framework a great flexibility so that it can be used with a wide range of data sources. – The plug-ins have a wide range of support for the recovery of meta-data and meta-data-containing files. – The framework is written in the Delphi programming language and is modular. This gives it a great flexibility for expansion and enhancement, and it also allows different strengths to be built into different parts of the framework. TULP2G is a comprehensive framework for data extraction and decoding. It consists of an OpenSource software system that can be used to extract and decode electronic data stored in a wide variety of devices. It has been designed to be used as a unified framework for information extraction and decoding. Its foundation is laid on TULP (The Universal Logical Processing), which is the underlying model used in the framework. TULP is an abstract model that enables the design of information extraction and decoding solutions in the same way as XSLT is used to design a logical system for the transformation of XML documents to HTML. Category License Standard License Single User License Manufacturer Barre-Fabri No No Yes Free to use in all educational and academic institutions. Required to purchase if more than one user requires the same software. Legal notice: “All products
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TULP2G (TULP2G stands for *TULP2G* ) is a framework for information extraction and decoding of stored data. It is open source software and available free of charge. For it is purpose to promote the development of open source plug-ins for forensic activities. The framework is based on XML as data storage format and makes use of plug-ins for other existing standards and object-oriented programs. Plug-ins for programming languages like C or C++ are also possible and are being developed. An overview of the TULP2G framework is shown in the Figure below: Figure 1: Overview of the framework. TULP2G Framework +———-+———-+ | USER | PI | | | \———————————-| | | +———-+———-+ \ +————| | | | | PI | | | USER \ +——+ | | | | | & SPI | | | & SPI | | | | | | | & SPI | | | | | | | | | +———-+———-+ \ | | | | | | | Plug-in | | +—+ | | | | | | (Program | | | +—| | | | | | ) | | | | +—| | | | +———-+———-+ \ +————+ | | | | | | | | | | | | | | | | | +—| | | | | | | | +—+ | | | +—+ | | | | \ | +—+ | | | | +—+ | | +———-+ +———-+ | Interface | | (Classes) | +———-+ The framework consists of the following components: +————-+ | USER | +————-+ The USER component is the User Interface used by the end user to interact with the Forensic software. It contains all routines, controls and buttons that the user uses to guide the Forensic software. It is also possible to change the interface skin using the TSS (TULP2G Skin Support). The PI component contain all plug-ins, which are written by the user. It is possible to specify plug-ins (classes) in XML (see
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Processor: 2.5 GHz Dual Core processor or equivalent Intel Core 2 Duo processor. Memory: 1 GB RAM Hard Disk: 20 GB available space Graphic Cards: 256 MB Graphic Card is recommended DirectX: Version 9.0 or later Input Devices: Mouse Controller: 6-axis Joystick Optimus: Optimus 2-in-1 Integrated GPU with HDMI Port and 2 USB 3.0 ports Smart
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