Performance Analysis of File Carving Tools Thomas Laurenson
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Imagemounter Documentation Release 1.5.1
imagemounter Documentation Release 1.5.1 Ralph Broenink, Peter Wagenaar December 11, 2016 Contents 1 Contents 3 1.1 Installation................................................3 1.2 Command-line usage...........................................4 1.3 Python interface.............................................7 1.4 File and volume system specifics.................................... 18 1.5 Release notes............................................... 22 Python Module Index 31 i ii imagemounter Documentation, Release 1.5.1 imagemounter is a command-line utility and Python package to ease the mounting and unmounting of EnCase, Affuse, vmdk and dd disk images (and other formats supported by supported tools). It supports mounting disk images using xmount (with optional RW cache), affuse, ewfmount and vmware-mount; detecting DOS, BSD, Sun, Mac and GPT volume systems; mounting FAT, Ext, XFS UFS, HFS+, LUKS and NTFS volumes, in addition to some less known filesystems; detecting (nested) LVM volume systems and mounting its subvolumes; and reconstructing Linux Software RAID arrays. In its default mode, imagemounter will try to start mounting the base image on a temporary mount point, detect the volume system and then mount each volume seperately. If it fails finding a volume system, it will try to mount the entire image as a whole if it succeeds in detecting what it actually is. Note: Not all combinations of file and volume systems have been tested. If you encounter an issue, please try to change some of your arguments first, before creating a new GitHub -
A Review of Digital Forensics Methods for Jpeg File Carving
Journal of Theoretical and Applied Information Technology 15th September 2018. Vol.96. No 17 © 2005 – ongoing JATIT & LLS ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195 A REVIEW OF DIGITAL FORENSICS METHODS FOR JPEG FILE CARVING RABEI RAAD ALI, KAMARUDDIN MALIK MOHAMAD, SAPIEE JAMEL, SHAMSUL KAMAL AHMAD KHALID Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia E-mail: [email protected], {malik, sapiee, shamsulk}@uthm.edu.my ABSTRACT Digital forensics is an important field of cybersecurity and digital crimes investigation. It entails applying file recovery methods to analyze data from storage media and extract hidden, deleted or overwritten files. The recovery process might have accompanied with cases of unallocated partitions of blocks or clusters and the absence of file system metadata. These cases entail advance recovery methods that have carving abilities. The file carving methods include different types of techniques to identify, validate and reassemble the file. This paper presents a comprehensive study of data recovery, file carving, and file reassembling. It focuses on identifying and recovering JPEG Images as it is a wildly covered in the literature. It classifies the carving techniques into three types: signature-, structure-, and content-based carvers. Subsequently, the paper reviews seven advanced carving methods in the literature. Finally, the paper presents a number of research gaps and conclude a number of possible improvements. Generally, both the gaps and possible improvements are associated with the fragmentation problem of data files. Keywords: Digital Forensics, Data Recovery, File Carving, File Reassembling, JPEG Image 1. INTRODUCTION Subsequently, different JPEG file carving methods are proposed in the literature. -
Forensic Toolkit (FTK)
Forensic Toolkit (FTK) User Guide | 1 AccessData Legal and Contact Information Document date: January 31, 2018 Legal Information ©2018 AccessData Group, Inc. All rights reserved. No part of this publication may be reproduced, photocopied, stored on a retrieval system, or transmitted without the express written consent of the publisher. AccessData Group, Inc. makes no representations or warranties with respect to the contents or use of this documentation, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, AccessData Group, Inc. reserves the right to revise this publication and to make changes to its content, at any time, without obligation to notify any person or entity of such revisions or changes. Further, AccessData Group, Inc. makes no representations or warranties with respect to any software, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, AccessData Group, Inc. reserves the right to make changes to any and all parts of AccessData software, at any time, without any obligation to notify any person or entity of such changes. You may not export or re-export this product in violation of any applicable laws or regulations including, without limitation, U.S. export regulations or the laws of the country in which you reside. AccessData Group, Inc. 588 West 400 South Suite 350 Lindon, UT 84042 USA AccessData Trademarks and Copyright Information The following are either registered trademarks or trademarks of AccessData Group, Inc. All other trademarks are the property of their respective owners. AccessData® AD Summation® Mobile Phone Examiner Plus® AccessData Certified Examiner® (ACE®) Discovery Cracker® MPE+ Velocitor™ AD AccessData™ Distributed Network Attack® Password Recovery Toolkit® AD eDiscovery® DNA® PRTK® AD RTK™ Forensic Toolkit® (FTK®) Registry Viewer® LawDrop® Summation® | 2 A trademark symbol (®, ™, etc.) denotes an AccessData Group, Inc. -
Automating Video File Carving and Content Identification York Yannikos, Nadeem Ashraf, Martin Steinebach, Christian Winter
Automating Video File Carving and Content Identification York Yannikos, Nadeem Ashraf, Martin Steinebach, Christian Winter To cite this version: York Yannikos, Nadeem Ashraf, Martin Steinebach, Christian Winter. Automating Video File Carving and Content Identification. 9th International Conference on Digital Forensics (DF), Jan 2013, Orlando, FL, United States. pp.195-212, 10.1007/978-3-642-41148-9_14. hal-01460607 HAL Id: hal-01460607 https://hal.inria.fr/hal-01460607 Submitted on 7 Feb 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Chapter 14 AUTOMATING VIDEO FILE CARVING AND CONTENT IDENTIFICATION York Yannikos, Nadeem Ashraf, Martin Steinebach and Christian Winter Abstract The massive amount of illegal content, especially images and videos, encountered in forensic investigations requires the development of tools that can automatically recover and analyze multimedia data from seized storage devices. However, most forensic analysis processes are still done manually or require continuous human interaction. The identification of illegal content is particularly time consuming because no reliable tools for automatic content classification are currently available. Addition- ally, multimedia file carvers are often not robust enough – recovering single frames of video files is often not possible if some of the data is corrupted or missing. -
Improving the Efficiency of Big Forensic Data Analysis Using Nosql
Improving the Efficiency of Big Forensic Data Analysis Using NoSQL Md Baitul Al Sadi Hayden Wimmer Lei Chen Kai Wang Department of Information Department of Information Department of Information Department of Computer Technology Technology Technology Science Georgia Southern University Georgia Southern University Georgia Southern University Georgia Southern University Statesboro, GA 30458, USA Statesboro, GA 30458, USA Statesboro, GA 30458, USA Statesboro, GA 30458, USA [email protected] [email protected] [email protected] [email protected] them in NoSQL (Not Only SQL) database. There is a variety of ABSTRACT tools available including Autopsy, EnCase, Foremost, FTK, The rapid growth of Internet of Things (IoT) makes the task for Registry Recon, PTK Forensics, The Sleuth Kit, The Coroner's digital forensic more difficult. At the same time, the data analyzing Toolkit, COFEE etc. to extract data from IoT devices. The technology is also developing in a feasible pace. Where traditional extracted data will be in an unstructured format, hence NoSQL is Structured Query Language (SQL) is not adequate to analyze the the best solution to analyze them. Here the document-oriented data in an unstructured and semi-structured format, Not only database program, MongoDB has been chosen to analyze the data Standard Query Language (NoSQL) unfastens the access to from Internet of Things (IoT). To our best knowledge this is pioneer analyzing the data of all format. The large volume of data of IoTs work in terms of using NoSQL and MongoDB for DF. turns into Big Data which just do not enhance the probability of attaining of evidence of an incident but make the investigation 2 BACKGROUND process more complex. -
Performance of Android Forensics Data Recovery Tools
This is author accepted copy; for final version please refer to: B.C. Ogazi-Onyemaechi, Ali Dehghantanha, Kim-Kwang Raymond Choo, “Performance of Android Forensics Data Recovery Tools”, Pages 91-110, Chapter 7, (Elsevier) Contemporary Digital Forensic Investigations Of Cloud And Mobile Applications Performance of Android Forensics Data Recovery Tools Bernard Chukwuemeka Ogazi-Onyemaechi1, Ali Dehghantanha1; Kim-Kwang Raymond Choo2 1School of Computing, Science and Engineering, University of Salford, Manchester, United Kingdom 2 Information Assurance Research Group, University of South Australia, Australia [email protected]; [email protected]; [email protected] Abstract- Recovering deleted or hidden data is among most important duties of forensics investigators. Extensive utilisation of smartphones as subject, objects or tools of crime made them an important part of residual forensics. This chapter investigates the effectiveness of mobile forensic data recovery tools in recovering evidences from a Samsung Galaxy S2 i9100 Android phone. We seek to determine the amount of data that could be recovered using Phone image carver, Access data FTK, Foremost, Diskdigger, and Recover My File forensic tools. The findings reflected the difference between recovery capacities of studied tools showing their suitability in their specialised contexts only. Keywords: Data recovery, digital forensics, deleted file recovery, mobile forensics, Android forensics. 1 1.0 INTRODUCTION Smart mobile devices, particularly smartphones, are increasingly popular in today’s Internet-connected society (1–4). For example, few years ago in 2010, shipments of smartphone grew by 74 percent to 295 million units (3,4). Unsurprisingly, sales of smartphones have been increasing since then (5,6), and it has been estimated that 1.5 billion smartphones will be sold by 2017 and 1 billion mobile subscribers by 2022 (7–15). -
Creating Highly Specialized Fragmented File System Data Sets
CREATING HIGHLY SPECIALIZED FRAGMENTED FILE SYSTEM DATA SETS FOR FORENSIC RESEARCH A Thesis Presented in Partial Fulfillment of the Requirements for the Degree of Master of Science with a Major in Computer Science in the College of Graduate Studies at University of Idaho by Douglas Drobny May 2014 Major Professor: Jim Alves-Foss, Ph.D. ii AUTHORIZATION TO SUBMIT THESIS This thesis of Douglas Drobny, submitted for the degree of Master of Science with a Major in Computer Science and titled \Creating Highly Specialized Fragmented File System Data Sets for Forensic Research", has been reviewed in final form. Permission, as indicated by the signatures and dates given below, is now granted to submit final copies to the College of Graduate Studies for approval. Major Professor Date Dr. Jim Alves-Foss Committee members Date Dr. Paul Oman Date Dr. Marty Ytreberg Computer Science Department Administrator Date Dr. Gregory Donohoe Discipline's College Dean, College of Engineering Date Dr. Larry Stauffer Final Approval and Acceptance by the College of Graduate Studies Date Dr. Jie Chen iii ABSTRACT File forensic tools examine the contents of a system's disk storage to analyze files, detect infections, examine account usages and extract information that the system's operating system cannot or does not provide. In cases where the file system is not available, or information is believed to be outside of the file system, a file carver can be used to extract files. File carving is the process of extracting information from an entire disk without metadata. This thesis looks at the effects of file fragmentation on forensic file carvers. -
Testdisk Step by Step
TestDisk Step By Step Jump to: navigation, search More Sharing Services Share Share on facebookShare on twitter Share on linkedinShare on tumblrShare on stumbleuponShare on redditShare on email This recovery example guides you through TestDisk step by step to recover a missing partition and repair a corrupted one. After reading this tutorial, you should be ready to recover your own data. Translations of this TestDisk manual to other languages are welcome. Contents 1 Example problem 2 Symptoms 3 Running TestDisk executable 4 Log creation 5 Disk selection 6 Partition table type selection 7 Current partition table status 8 Quick Search for partitions 9 Save the partition table or search for more partitions? 10 A partition is still missing: Deeper Search 11 Partition table recovery 12 NTFS Boot sector recovery 13 Recover deleted files Example problem We have a 36GB hard disk containing 3 partitions. Unfortunately; the boot sector of the primary NTFS partition has been damaged, and a logical NTFS partition has been accidentally deleted. This recovery example guides you through TestDisk, step by step, to recover these 'lost' partitions by: rewriting the corrupted NTFS boot sector, and recovering the accidentally deleted logical NTFS partition. Recovery of a FAT32 partition (instead of an NTFS partition) can be accomplished by following exactly the same steps. Other recovery examples are also available. For Information about FAT12, FAT16, ext2/ext3, HFS+, ReiserFS and other partition types, read Running the TestDisk Program. One condition: TestDisk must be executed with Administrator privileges. Important points for using TestDisk: To navigate in TestDisk, use the Arrow and PageUp/PageDown keys. -
Computer Hacking Forensic Investigator V4 Exam 312-49 CHFI Computer Hacking Forensic Investigator Training Program
Computer Hacking Forensic Investigator v4 Exam 312-49 CHFI Computer Hacking Forensic Investigator Training Program Course Description Computer forensics enables the systematic and careful identification of evidence in computer related crime and abuse cases. This may range from tracing the tracks of a hacker through a client’s systems, to tracing the originator of defamatory emails, to recovering signs of fraud. The CHFI course will give participants the necessary skills to identify an intruder's footprints and properly gather the necessary evidence to prosecute. Many of today's top tools of the forensic trade will be taught during this course, including software, hardware and specialized techniques. The need for businesses to become more efficient and integrated with one another, as well as the home user, has given way to a new type of criminal, the "cyber-criminal." It is no longer a matter of "will your organization be comprised (hacked)?" but, rather, "when?" Today's battles between corporations, governments, and countries are no longer fought only in the typical arenas of boardrooms or battlefields using physical force. Now the battlefield starts in the technical realm, which ties into most every facet of modern day life. If you or your organization requires the knowledge or skills to identify, track, and prosecute the cyber- criminal, then this is the course for you. The CHFI is a very advanced security-training program. Proper preparation is required before conducting the CHFI class. Who Should Attend . Police and other law enforcement personnel . Defense and Military personnel . e-Business Security professionals . Systems administrators . Legal professionals . Banking, Insurance and other professionals . -
Taxonomy of Digital Forensics: Investigation Tools and Challenges
Taxonomy of Digital Forensics: Investigation Tools and Challenges Nikita Rana1, Gunjan Sansanwal1, Kiran Khatter1,2 and Sukhdev Singh1,2 1Department of Computer Science and Engineering Manav Rachna International University, Faridabad-121004, India 2Accendere Knowledge Management Services Pvt. Ltd., India Abstract In today’s world of computers, any kind of information can be made available within few clicks for different endeavours. The information may be tampered by changing the statistical properties and can be further used for criminal activities. These days, Cybercrimes are happening at a very large scale, and possess big threats to the security of an individual, firm, industry and even to developed countries. To combat such crimes, law enforcement agencies and investment institutions are incorporating supportive examination policies, procedures and protocols to address the complete investigation process. The paper entails a detailed review of several cybercrimes followed by various digital forensics processes involved in the cybercrime investigation. Further various digital forensics tools with detail explanation are discussed with their advantages, disadvantages, challenges, and drawbacks. A comparison among all the selected tools is also presented. Finally the paper recommends the need of training programs for the first responder and judgement of signature based image authentication. 1. INTRODUCTION Computer is a masterpiece made by the human race that has made our lives smooth and effortless. Computers have become the very bedrock of today’s technological environment and we use them in almost every aspect of our customary life. They are everywhere from shopping, banking to school and hospitals, even our own homes. Businesses depend on these devices and the Internet to do their daily transactions, marketing and communications across the globe and given to our desideratum to have the best of everything it has seen noteworthy diversifications. -
A Comparison of Computer Forensic Tools: an Open-Source Evaluation
A Comparison of Computer Forensic Tools: An Open-Source Evaluation Adam Cervellone, B.S., Graduate Student, Marshall University Forensic Science Center, 1401 Forensic Science Drive, Huntington, WV 25701 901725850 Agency Supervisor-Robert Price Jr., M.S., Forensic Scientist I, North Carolina State Crime Laboratory, 121 E. Tryon Road, Raleigh NC 27601 Technical Assistant- Joshua Brunty, M.S., Marshall University Forensic Science Center, 1401 Forensic Science Drive, Huntington, WV, 25701 MU Topic Advisor-Terry Fenger, Ph.D., Marshall University Forensic Science Center, 1401 Forensic Science Drive, Huntington, WV, 25701 Cervellone 1 of 30 Abstract The world of digital forensics is an ever-evolving field with multiple tools for analysis from which to choose. Many of these tools have very focused functions such as Mac and iOS device analysis, registry examination, steganography analysis, mobile device examination, password recovery and countless others. Other tools are full featured suites capable of analyzing a large case containing multiple items. The major problem with many of these tools is cost. While they may be robust, they may not be affordable for a smaller lab that wants to do digital forensics. This research focuses on industry standard forensic software such as: Guidance Software® EnCase® Forensic 6, AccessData® FTK® (Forensic Toolkit) 5, as well as SANS SIFT Workstation 3.0. The SIFT Workstation is a freely available open-source processing environment that contains multiple tools with similar functionality to EnCase® and FTK®. This study evaluates the processing and analysis capabilities of each tool. In addition to processing functionality, a simple cost analysis study was done. The latter portion of the research displayed how much a lab may have to spend to get a single examiner fully on-line with each tool. -
Forensic File Carving Tool Test Assertions and Test Plan
April 2014 Forensic File Carving Tool Test Assertions and Test Plan Draft Version 1.0 for Public Comment Draft for Comment FC-atp-public-draft-01-of-ver-01.docx ii 4/7/2014 9:33 AM DRAFT Draft for Internal Comment DRAFT Abstract This document defines test assertions and test cases for digital file carving forensic tools that extract and reconstruct files without examination of file system metadata. The specification is limited to tools that identify inaccessible (deleted or embedded) files from file data content. Such tools exploit the unique data signatures of certain file types to identify starting and ending data blocks of these file types. In addition, file system allocation policies often keep file data blocks contiguous and sequential. For such contiguous sequential block placement identification of starting and ending data blocks may be sufficient to carve complete files. In other non-contiguous or non-sequential block placement, file reconstruction by carving is problematic. As this document evolves updated versions will be posted at http://www.cftt.nist.gov FC-atp-public-draft-01-of-ver-01.docx iii 4/7/2014 9:33 AM DRAFT Draft for Internal Comment DRAFT FC-atp-public-draft-01-of-ver-01.docx iv 4/7/2014 9:33 AM DRAFT Draft for Internal Comment DRAFT TABLE OF CONTENTS Abstract .............................................................................................................................. iii 1 Introduction ..................................................................................................................