Malware Static Analysis Techniques Using A Multidisciplinary Approach
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Malware Static Analysis Techniques Using A Multidisciplinary Approach
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Author : Muhammad Aljammaz
language : en
Publisher:
Release Date : 2013
Malware Static Analysis Techniques Using A Multidisciplinary Approach written by Muhammad Aljammaz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computer security categories.
Most research discussing malware detection completely dismisses signatures as being a thing of the past, accusing signatures of suffering from a weak ability to detect zero-day malware. This indeed could be the case if we are still referring to the classic definition of signatures, which renders them specific to only a single malicious executable binary. But what if these signatures grouped more malicious executables under a single signature? They would then make a valuable defense towards the fight against malware. To create such signatures, we need to develop new methods and techniques to constantly advance the state of the art as malware gets more and more elusive under old methods and approaches. The methods I will discuss not only give a good chance of creating effective signatures for malware, but also provide something just as important giving the malware analyst an automated approach to understanding key characteristics of the analyzed malware. This dissertation has many contributions. The main contribution is a fully automated malware analysis system that can create families of malware, each able to be classified into its appropriate family, including zero-day malware. Another contribution is a new pruning algorithm that tests cluster strength and ensures the tightness of a malware family. The dissertation also incorporates a novel application of blockmodeling to the problem of malware analysis, which takes the form of a visual component in the system. It also creates a novel malware family signature based on n-gram frequencies composed of instructions and API function calls. Two experiments were carried out testing the accuracy and scalability of the system. The experimental results show that this system is highly accurate and scalable.
Dissertation Abstracts International
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Author :
language : en
Publisher:
Release Date : 2008
Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Dissertations, Academic categories.
Malware Analysis Techniques
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Author : Dylan Barker
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-06-18
Malware Analysis Techniques written by Dylan Barker and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Computers categories.
Analyze malicious samples, write reports, and use industry-standard methodologies to confidently triage and analyze adversarial software and malware Key FeaturesInvestigate, detect, and respond to various types of malware threatUnderstand how to use what you've learned as an analyst to produce actionable IOCs and reportingExplore complete solutions, detailed walkthroughs, and case studies of real-world malware samplesBook Description Malicious software poses a threat to every enterprise globally. Its growth is costing businesses millions of dollars due to currency theft as a result of ransomware and lost productivity. With this book, you'll learn how to quickly triage, identify, attribute, and remediate threats using proven analysis techniques. Malware Analysis Techniques begins with an overview of the nature of malware, the current threat landscape, and its impact on businesses. Once you've covered the basics of malware, you'll move on to discover more about the technical nature of malicious software, including static characteristics and dynamic attack methods within the MITRE ATT&CK framework. You'll also find out how to perform practical malware analysis by applying all that you've learned to attribute the malware to a specific threat and weaponize the adversary's indicators of compromise (IOCs) and methodology against them to prevent them from attacking. Finally, you'll get to grips with common tooling utilized by professional malware analysts and understand the basics of reverse engineering with the NSA's Ghidra platform. By the end of this malware analysis book, you'll be able to perform in-depth static and dynamic analysis and automate key tasks for improved defense against attacks. What you will learnDiscover how to maintain a safe analysis environment for malware samplesGet to grips with static and dynamic analysis techniques for collecting IOCsReverse-engineer and debug malware to understand its purposeDevelop a well-polished workflow for malware analysisUnderstand when and where to implement automation to react quickly to threatsPerform malware analysis tasks such as code analysis and API inspectionWho this book is for This book is for incident response professionals, malware analysts, and researchers who want to sharpen their skillset or are looking for a reference for common static and dynamic analysis techniques. Beginners will also find this book useful to get started with learning about malware analysis. Basic knowledge of command-line interfaces, familiarity with Windows and Unix-like filesystems and registries, and experience in scripting languages such as PowerShell, Python, or Ruby will assist with understanding the concepts covered.
Robust And Efficient Malware Analysis And Host Based Monitoring
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Author : Monirul Islam Sharif
language : en
Publisher:
Release Date : 2010
Robust And Efficient Malware Analysis And Host Based Monitoring written by Monirul Islam Sharif and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computer viruses categories.
Today, host-based malware detection approaches such as antivirus programs are severely lagging in terms of defense against malware. Two important aspects that the overall effectiveness of malware detection depend on are the success of extracting information from malware using malware analysis to generate signatures, and then the success of utilizing these signatures on target hosts with appropriate system monitoring techniques. Today's malware employ a vast array of anti-analysis and anti-monitoring techniques to deter analysis and to neutralize antivirus programs, reducing the overall success of malware detection. In this dissertation, we present a set of practical approaches of robust and efficient malware analysis and system monitoring that can help make malware detection on hosts become more effective. First, we present a framework called Eureka, which efficiently deobfuscates single-pass and multi-pass packed binaries and restores obfuscated API calls, providing a basis for extracting comprehensive information from the malware using further static analysis. Second, we present the formal framework of transparent malware analysis and Ether, a dynamic malware analysis environment based on this framework that provides transparent fine-(single instruction) and coarse-(system call) granularity tracing. Third, we introduce an input-based obfuscation technique that hides trigger-based behavior from any input-oblivious analyzer. Fourth, we present an approach that automatically reverse-engineers the emulator and extracts the syntax and semantics of the bytecode language, which helps constructing control-flow graphs of the bytecode program and enables further analysis on the malicious code. Finally, we present Secure In-VM Monitoring, an approach of efficiently monitoring a target host while being robust against unknown malware that may attempt to neutralize security tools.
Practical Malware Analysis
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Author : Michael Sikorski
language : en
Publisher: No Starch Press
Release Date : 2012-02-01
Practical Malware Analysis written by Michael Sikorski and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-01 with Computers categories.
Malware analysis is big business, and attacks can cost a company dearly. When malware breaches your defenses, you need to act quickly to cure current infections and prevent future ones from occurring. For those who want to stay ahead of the latest malware, Practical Malware Analysis will teach you the tools and techniques used by professional analysts. With this book as your guide, you'll be able to safely analyze, debug, and disassemble any malicious software that comes your way. You'll learn how to: –Set up a safe virtual environment to analyze malware –Quickly extract network signatures and host-based indicators –Use key analysis tools like IDA Pro, OllyDbg, and WinDbg –Overcome malware tricks like obfuscation, anti-disassembly, anti-debugging, and anti-virtual machine techniques –Use your newfound knowledge of Windows internals for malware analysis –Develop a methodology for unpacking malware and get practical experience with five of the most popular packers –Analyze special cases of malware with shellcode, C++, and 64-bit code Hands-on labs throughout the book challenge you to practice and synthesize your skills as you dissect real malware samples, and pages of detailed dissections offer an over-the-shoulder look at how the pros do it. You'll learn how to crack open malware to see how it really works, determine what damage it has done, thoroughly clean your network, and ensure that the malware never comes back. Malware analysis is a cat-and-mouse game with rules that are constantly changing, so make sure you have the fundamentals. Whether you're tasked with securing one network or a thousand networks, or you're making a living as a malware analyst, you'll find what you need to succeed in Practical Malware Analysis.
Malware Analysis And Detection Engineering
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Author : Abhijit Mohanta
language : en
Publisher: Apress
Release Date : 2020-11-05
Malware Analysis And Detection Engineering written by Abhijit Mohanta and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Computers categories.
Discover how the internals of malware work and how you can analyze and detect it. You will learn not only how to analyze and reverse malware, but also how to classify and categorize it, giving you insight into the intent of the malware. Malware Analysis and Detection Engineering is a one-stop guide to malware analysis that simplifies the topic by teaching you undocumented tricks used by analysts in the industry. You will be able to extend your expertise to analyze and reverse the challenges that malicious software throws at you. The book starts with an introduction to malware analysis and reverse engineering to provide insight on the different types of malware and also the terminology used in the anti-malware industry. You will know how to set up an isolated lab environment to safely execute and analyze malware. You will learn about malware packing, code injection, and process hollowing plus how to analyze, reverse, classify, and categorize malware using static and dynamic tools. You will be able to automate your malware analysis process by exploring detection tools to modify and trace malware programs, including sandboxes, IDS/IPS, anti-virus, and Windows binary instrumentation. The book provides comprehensive content in combination with hands-on exercises to help you dig into the details of malware dissection, giving you the confidence to tackle malware that enters your environment. What You Will Learn Analyze, dissect, reverse engineer, and classify malware Effectively handle malware with custom packers and compilers Unpack complex malware to locate vital malware components and decipher their intent Use various static and dynamic malware analysis tools Leverage the internals of various detection engineering tools to improve your workflow Write Snort rules and learn to use them with Suricata IDS Who This Book Is For Security professionals, malware analysts, SOC analysts, incident responders, detection engineers, reverse engineers, and network security engineers "This book is a beast! If you're looking to master the ever-widening field of malware analysis, look no further. This is the definitive guide for you." Pedram Amini, CTO Inquest; Founder OpenRCE.org and ZeroDayInitiative
Windows Malware Analysis Essentials
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Author : Victor Marak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-09-01
Windows Malware Analysis Essentials written by Victor Marak and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-01 with Computers categories.
Master the fundamentals of malware analysis for the Windows platform and enhance your anti-malware skill set About This Book Set the baseline towards performing malware analysis on the Windows platform and how to use the tools required to deal with malware Understand how to decipher x86 assembly code from source code inside your favourite development environment A step-by-step based guide that reveals malware analysis from an industry insider and demystifies the process Who This Book Is For This book is best for someone who has prior experience with reverse engineering Windows executables and wants to specialize in malware analysis. The book presents the malware analysis thought process using a show-and-tell approach, and the examples included will give any analyst confidence in how to approach this task on their own the next time around. What You Will Learn Use the positional number system for clear conception of Boolean algebra, that applies to malware research purposes Get introduced to static and dynamic analysis methodologies and build your own malware lab Analyse destructive malware samples from the real world (ITW) from fingerprinting and static/dynamic analysis to the final debrief Understand different modes of linking and how to compile your own libraries from assembly code and integrate the codein your final program Get to know about the various emulators, debuggers and their features, and sandboxes and set them up effectively depending on the required scenario Deal with other malware vectors such as pdf and MS-Office based malware as well as scripts and shellcode In Detail Windows OS is the most used operating system in the world and hence is targeted by malware writers. There are strong ramifications if things go awry. Things will go wrong if they can, and hence we see a salvo of attacks that have continued to disrupt the normal scheme of things in our day to day lives. This book will guide you on how to use essential tools such as debuggers, disassemblers, and sandboxes to dissect malware samples. It will expose your innards and then build a report of their indicators of compromise along with detection rule sets that will enable you to help contain the outbreak when faced with such a situation. We will start with the basics of computing fundamentals such as number systems and Boolean algebra. Further, you'll learn about x86 assembly programming and its integration with high level languages such as C++.You'll understand how to decipher disassembly code obtained from the compiled source code and map it back to its original design goals. By delving into end to end analysis with real-world malware samples to solidify your understanding, you'll sharpen your technique of handling destructive malware binaries and vector mechanisms. You will also be encouraged to consider analysis lab safety measures so that there is no infection in the process. Finally, we'll have a rounded tour of various emulations, sandboxing, and debugging options so that you know what is at your disposal when you need a specific kind of weapon in order to nullify the malware. Style and approach An easy to follow, hands-on guide with descriptions and screenshots that will help you execute effective malicious software investigations and conjure up solutions creatively and confidently.
Multi Level Analysis Of Malware Using Machine Learning
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Author : Subash Poudyal
language : en
Publisher:
Release Date : 2021
Multi Level Analysis Of Malware Using Machine Learning written by Subash Poudyal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Malware analysis and detection is a critical capability every business and organization needs to defend itself against a growing number of cyber threats. For example, ransomware, an advanced form of malware, makes hostage of user's data and asks ransom, usually in crypto-currencies, to remain anonymous. Significant efforts have been undertaken to combat these attacks, but the threat factors are dynamic, and there lacks intelligent approach to defeat them. Thus, my study is focused on designing a defensive solution against this advanced malware, i.e., ransomware. Many tools and techniques exist that claim to detect and respond to malware. However, such methods rely primarily on static features, rigid signatures, and non-machine learning approaches. Recent tools advertise to have used machine learning techniques but often lack the explainable component, often miss the zero-day malware, and have high false positives. A smart artificial intelligence (AI) technique with deep analysis, worthy feature analysis, and selection could have provided a heightened sense of proper security. This study uses an AI-powered hybrid approach to detect ransomware. Specifically, I proposed a deep inspection approach for multi-level profiling of crypto-ransomware, which captures the distinct features at DLL (Dynamic Link Library), function call, and assembly levels. I showed how the code segments are correlated at these levels for studied samples. My hybrid multi-level analysis approach includes advanced static and dynamic methods and a novel strategy of analyzing behavioral chains with AI techniques. Moreover, association rule mining, natural language processing techniques, and machine learning classifiers are integrated for building ransomware validation and detection model. Experiments with samples from VirusTotal exhibited that multi-level profiling can better detect ransomware samples among other malware families and benign applications with higher accuracy and low false-positive rate. The multi-level feature sequence can be extracted from most of the applications running in the different operating systems; therefore, I believe that my method can detect ransomware and other malware families for devices on multiple platforms..
Static And Dynamic Machine Learning Based Malware Detection Methods For Windows Programs
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Author : Lars Kaiser
language : en
Publisher: GRIN Verlag
Release Date : 2023-02-08
Static And Dynamic Machine Learning Based Malware Detection Methods For Windows Programs written by Lars Kaiser and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-08 with Computers categories.
Bachelor Thesis from the year 2022 in the subject Computer Science - Commercial Information Technology, grade: 1.0, University of Applied Sciences Essen, language: English, abstract: One goal of the thesis is to evaluate static, dynamic and hybrid approaches in order to draw conclusions about the domains mentioned in the title of the thesis. Consequently, result-oriented conclusions about the characteristics that distinguish the three approaches from each other are to be drawn from the respective publications on basis of qualitative and quantitative evaluation criteria and the knowledge gap in the comparative literature is intended to be filled by the evaluation of hybrid approaches. The aim is to build a high-level understanding of the different methods and to identify differences and commonalities between these approaches based on research literature that presents new approaches within these domains. In particular, strengths, weaknesses and special properties of the three domains are to be determined. The second goal of this thesis is to develop a more comprehensive practical understanding of ML-based malware detection techniques, as exemplified by the practical section. Here, the ML workflow model is used to propose and implement a static malware detector step-by-step using the Python programming language and various ML algorithms. Accordingly the three primary research-questions this thesis aims to address are as follows: 1. Which static, dynamic and hybrid ML based approaches exist both in current and past research and how do they work? 2. How do the underlying methodological domains (static, dynamic and hybrid) com-pare under consideration of multiple quantitative and qualitative evaluation criteria? 3. How can a static malware detection model be implemented hands on in practice using the ML workflow process model as a guideline?
Improving Mobile Malware Investigations With Static And Dynamic Code Analysis Techniques
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Author : Siegfried Rasthofer
language : en
Publisher:
Release Date : 2016
Improving Mobile Malware Investigations With Static And Dynamic Code Analysis Techniques written by Siegfried Rasthofer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.