Integrating Python With Leading Computer Forensics Platforms

Autor: Chet Hosmer
Publisher: Syngress
ISBN: 012809950X
File Size: 76,38 MB
Format: PDF, Docs
Read: 1911
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Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms. Provides hands-on tools, code samples, detailed instruction, and documentation that can be immediately put to use Shows how to integrate Python with popular digital forensic platforms, including EnCase, MPE+, The Open Source Autopsy/SleuthKit, and US-LATT Presents complete coverage of how to use Open Source Python scripts to extend and modify popular digital forensic Platforms

Python Forensics

Autor: Chet Hosmer
Publisher: Syngress
ISBN: 9780124186767
File Size: 78,90 MB
Format: PDF, ePub, Docs
Read: 6859
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Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. Drawing upon years of practical experience and using numerous examples and illustrative code samples, author Chet Hosmer discusses how to: Develop new forensic solutions independent of large vendor software release schedules Participate in an open-source workbench that facilitates direct involvement in the design and implementation of new methods that augment or replace existing tools Advance your career by creating new solutions along with the construction of cutting-edge automation solutions to solve old problems Provides hands-on tools, code samples, and detailed instruction and documentation that can be put to use immediately Discusses how to create a Python forensics workbench Covers effective forensic searching and indexing using Python Shows how to use Python to examine mobile device operating systems: iOS, Android, and Windows 8 Presents complete coverage of how to use Python scripts for network investigation

Digital Forensics With Open Source Tools

Autor: Cory Altheide
Publisher: Elsevier
ISBN: 9781597495875
File Size: 71,42 MB
Format: PDF, ePub, Docs
Read: 2017
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Digital Forensics with Open Source Tools is the definitive book on investigating and analyzing computer systems and media using open source tools. The book is a technical procedural guide, and explains the use of open source tools on Mac, Linux and Windows systems as a platform for performing computer forensics. Both well-known and novel forensic methods are demonstrated using command-line and graphical open source computer forensic tools for examining a wide range of target systems and artifacts. Written by world-renowned forensic practitioners, this book uses the most current examination and analysis techniques in the field. It consists of 9 chapters that cover a range of topics such as the open source examination platform; disk and file system analysis; Windows systems and artifacts; Linux systems and artifacts; Mac OS X systems and artifacts; Internet artifacts; and automating analysis and extending capabilities. The book lends itself to use by students and those entering the field who do not have means to purchase new tools for different investigations. This book will appeal to forensic practitioners from areas including incident response teams and computer forensic investigators; forensic technicians from legal, audit, and consulting firms; and law enforcement agencies. Written by world-renowned forensic practitioners Details core concepts and techniques of forensic file system analysis Covers analysis of artifacts from the Windows, Mac, and Linux operating systems

Mastering Python Forensics

Autor: Dr. Michael Spreitzenbarth
Publisher: Packt Publishing Ltd
ISBN: 1783988053
File Size: 63,55 MB
Format: PDF, ePub, Mobi
Read: 978
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Master the art of digital forensics and analysis with Python About This Book Learn to perform forensic analysis and investigations with the help of Python, and gain an advanced understanding of the various Python libraries and frameworks Analyze Python scripts to extract metadata and investigate forensic artifacts The writers, Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their experience to craft this hands-on guide to using Python for forensic analysis and investigations Who This Book Is For If you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this book is for you. Some Python experience would be helpful. What You Will Learn Explore the forensic analysis of different platforms such as Windows, Android, and vSphere Semi-automatically reconstruct major parts of the system activity and time-line Leverage Python ctypes for protocol decoding Examine artifacts from mobile, Skype, and browsers Discover how to utilize Python to improve the focus of your analysis Investigate in volatile memory with the help of volatility on the Android and Linux platforms In Detail Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we'll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox. Moving on, you'll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python scripts and tools. You'll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you'll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android. Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules. Style and approach This easy-to-follow guide will demonstrate forensic analysis techniques by showing you how to solve real-word-scenarios step by step.

Python Digital Forensics Cookbook

Autor: Preston Miller
Publisher: Packt Publishing Ltd
ISBN: 1783987472
File Size: 12,57 MB
Format: PDF, Kindle
Read: 8164
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Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations About This Book Develop code that extracts vital information from everyday forensic acquisitions. Increase the quality and efficiency of your forensic analysis. Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the scripts we develop to elevate their analysis. What You Will Learn Understand how Python can enhance digital forensics and investigations Learn to access the contents of, and process, forensic evidence containers Explore malware through automated static analysis Extract and review message contents from a variety of email formats Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) Delve into mobile forensics and recover deleted messages from SQLite databases Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no-frills approach to solving common challenges faced in investigations. The code in this book covers a wide range of artifacts and data sources. These examples will help improve the accuracy and efficiency of your analysis—no matter the situation.

Android Forensics

Autor: Andrew Hoog
Publisher: Elsevier
ISBN: 1597496510
File Size: 62,36 MB
Format: PDF, Kindle
Read: 1171
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The open source nature of the platform has not only established a new direction for the industry, but enables a developer or forensic analyst to understand the device at the most fundamental level. Android Forensics covers an open source mobile device platform based on the Linux 2.6 kernel and managed by the Open Handset Alliance. The Android platform is a major source of digital forensic investigation and analysis. This book provides a thorough review of the Android platform including supported hardware devices, the structure of the Android development project and implementation of core services (wireless communication, data storage and other low-level functions). Finally, it will focus on teaching readers how to apply actual forensic techniques to recover data. Ability to forensically acquire Android devices using the techniques outlined in the book Detailed information about Android applications needed for forensics investigations Important information about SQLite, a file based structured data storage relevant for both Android and many other platforms.

Data Hiding

Autor: Michael T. Raggo
Publisher: Newnes
ISBN: 159749741X
File Size: 48,30 MB
Format: PDF
Read: 1645
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As data hiding detection and forensic techniques have matured, people are creating more advanced stealth methods for spying, corporate espionage, terrorism, and cyber warfare all to avoid detection. Data Hiding provides an exploration into the present day and next generation of tools and techniques used in covert communications, advanced malware methods and data concealment tactics. The hiding techniques outlined include the latest technologies including mobile devices, multimedia, virtualization and others. These concepts provide corporate, goverment and military personnel with the knowledge to investigate and defend against insider threats, spy techniques, espionage, advanced malware and secret communications. By understanding the plethora of threats, you will gain an understanding of the methods to defend oneself from these threats through detection, investigation, mitigation and prevention. Provides many real-world examples of data concealment on the latest technologies including iOS, Android, VMware, MacOS X, Linux and Windows 7 Dives deep into the less known approaches to data hiding, covert communications, and advanced malware Includes never before published information about next generation methods of data hiding Outlines a well-defined methodology for countering threats Looks ahead at future predictions for data hiding

Linux Forensics

Autor: Philip Polstra
Publisher: CreateSpace
ISBN: 9781515037637
File Size: 72,48 MB
Format: PDF, Docs
Read: 1633
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Linux Forensics is the most comprehensive and up-to-date resource for those wishing to quickly and efficiently perform forensicson Linux systems. It is also a great asset for anyone that would like to better understand Linux internals. Linux Forensics will guide you step by step through the process of investigating a computer running Linux. Everything you need to know from the moment you receive the call from someone who thinks they have been attacked until the final report is written is covered in this book. All of the tools discussed in this book are free and most are also open source. Dr. Philip Polstra shows how to leverage numerous tools such as Python, shell scripting, and MySQL to quickly, easily, and accurately analyze Linux systems. While readers will have a strong grasp of Python and shell scripting by the time they complete this book, no priorknowledge of either of these scripting languages is assumed. Linux Forensics begins by showing you how to determine if there was an incident with minimally invasive techniques. Once it appears likely that an incident has occurred, Dr. Polstra shows you how to collect data from a live system before shutting it down for the creation of filesystem images. Linux Forensics contains extensive coverage of Linux ext2, ext3, and ext4 filesystems. A large collection of Python and shell scripts for creating, mounting, and analyzing filesystem images are presented in this book. Dr. Polstra introduces readers to the exciting new field of memory analysis using the Volatility framework. Discussions of advanced attacks and malware analysis round out the book. Book Highlights 370 pages in large, easy-to-read 8.5 x 11 inch format Over 9000 lines of Python scripts with explanations Over 800 lines of shell scripts with explanations A 102 page chapter containing up-to-date information on the ext4 filesystem Two scenarios described in detail with images available from the book website All scripts and other support files are available from the book website Chapter Contents First Steps General Principles Phases of Investigation High-level Process Building a Toolkit Determining If There Was an Incident Opening a Case Talking to Users Documenation Mounting Known-good Binaries Minimizing Disturbance to the Subject Automation With Scripting Live Analysis Getting Metadata Using Spreadsheets Getting Command Histories Getting Logs Using Hashes Dumping RAM Creating Images Shutting Down the System Image Formats DD DCFLDD Write Blocking Imaging Virtual Machines Imaging Physical Drives Mounting Images Master Boot Record Based Partions GUID Partition Tables Mounting Partitions In Linux Automating With Python Analyzing Mounted Images Getting Timestamps Using LibreOffice Using MySQL Creating Timelines Extended Filesystems Basics Superblocks Features Using Python Finding Things That Are Out Of Place Inodes Journaling Memory Analysis Volatility Creating Profiles Linux Commands Dealing With More Advanced Attackers Malware Is It Malware? Malware Analysis Tools Static Analysis Dynamic Analysis Obfuscation The Road Ahead Learning More Communities Conferences Certifications

Violent Python

Autor: TJ O'Connor
Publisher: Newnes
ISBN: 1597499641
File Size: 27,88 MB
Format: PDF, Mobi
Read: 1075
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Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical implementation. Instead of relying on another attacker’s tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus. Demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts Write code to intercept and analyze network traffic using Python. Craft and spoof wireless frames to attack wireless and Bluetooth devices Data-mine popular social media websites and evade modern anti-virus

Executing Windows Command Line Investigations

Autor: Chet Hosmer
Publisher: Syngress
ISBN: 0128092718
File Size: 71,84 MB
Format: PDF, ePub
Read: 5462
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The book Executing Windows Command Line Investigations targets the needs of cyber security practitioners who focus on digital forensics and incident response. These are the individuals who are ultimately responsible for executing critical tasks such as incident response; forensic analysis and triage; damage assessments; espionage or other criminal investigations; malware analysis; and responding to human resource violations. The authors lead readers through the importance of Windows CLI, as well as optimal configuration and usage. Readers will then learn the importance of maintaining evidentiary integrity, evidence volatility, and gain appropriate insight into methodologies that limit the potential of inadvertently destroying or otherwise altering evidence. Next, readers will be given an overview on how to use the proprietary software that accompanies the book as a download from the companion website. This software, called Proactive Incident Response Command Shell (PIRCS), developed by Harris Corporation provides an interface similar to that of a Windows CLI that automates evidentiary chain of custody and reduces human error and documentation gaps during incident response. Includes a free download of the Proactive Incident Response Command Shell (PIRCS) software Learn about the technical details of Windows CLI so you can directly manage every aspect of incident response evidence acquisition and triage, while maintaining evidentiary integrity