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Towards a Toolchain for Exploiting Smart Contracts on the Ethereum Blockchain
Towards a Toolchain for Exploiting Smart Contracts on the Ethereum Blockchain by Sebastian Kindler M.A., University of Bayreuth, 2011 Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Bachelor of Science in the Computer Science Program Faculty of Computer Science Supervisor: Prof. Dr. Stefan Traub Second Assessor: Prof. Dr. Markus Schäffter External Assessor: Dr. Henning Kopp Ulm University of Applied Sciences March 22, 2019 Abstract The present work introduces the reader to the Ethereum blockchain. First, on a con- ceptual level, explaining general blockchain concepts, and viewing the Ethereum blockchain in particular from different perspectives. Second, on a practical level, the main components that make up the Ethereum blockchain are explained in detail. In preparation for the objective of the present work, which is the analysis of EVM bytecode from an attacker’s perspective, smart contracts are introduced. Both, on the level of EVM bytecode and Solidity source code. In addition, critical assem- bly instructions relevant to the exploitation of smart contracts are explained in detail. Equipped with a definition of what constitutes a vulnerable contract, further practical and theoretical aspects are discussed: The present work introduces re- quirements for a possible smart contract analysis toolchain. The requirements are viewed individually, and theoretical focus is put on automated bytecode analysis and symbolic execution as this is the underlying technique of automated smart contract analysis tools. The importance of semantics is highlighted with respect to designing automated tools for smart contract exploitation. At the end, a min- imal toolchain is presented, which allows beginners to efficiently analyze smart contracts and develop exploits. -
Fill Your Boots: Enhanced Embedded Bootloader Exploits Via Fault Injection and Binary Analysis
IACR Transactions on Cryptographic Hardware and Embedded Systems ISSN 2569-2925, Vol. 2021, No. 1, pp. 56–81. DOI:10.46586/tches.v2021.i1.56-81 Fill your Boots: Enhanced Embedded Bootloader Exploits via Fault Injection and Binary Analysis Jan Van den Herrewegen1, David Oswald1, Flavio D. Garcia1 and Qais Temeiza2 1 School of Computer Science, University of Birmingham, UK, {jxv572,d.f.oswald,f.garcia}@cs.bham.ac.uk 2 Independent Researcher, [email protected] Abstract. The bootloader of an embedded microcontroller is responsible for guarding the device’s internal (flash) memory, enforcing read/write protection mechanisms. Fault injection techniques such as voltage or clock glitching have been proven successful in bypassing such protection for specific microcontrollers, but this often requires expensive equipment and/or exhaustive search of the fault parameters. When multiple glitches are required (e.g., when countermeasures are in place) this search becomes of exponential complexity and thus infeasible. Another challenge which makes embedded bootloaders notoriously hard to analyse is their lack of debugging capabilities. This paper proposes a grey-box approach that leverages binary analysis and advanced software exploitation techniques combined with voltage glitching to develop a powerful attack methodology against embedded bootloaders. We showcase our techniques with three real-world microcontrollers as case studies: 1) we combine static and on-chip dynamic analysis to enable a Return-Oriented Programming exploit on the bootloader of the NXP LPC microcontrollers; 2) we leverage on-chip dynamic analysis on the bootloader of the popular STM8 microcontrollers to constrain the glitch parameter search, achieving the first fully-documented multi-glitch attack on a real-world target; 3) we apply symbolic execution to precisely aim voltage glitches at target instructions based on the execution path in the bootloader of the Renesas 78K0 automotive microcontroller. -
Using Static and Dynamic Binary Analysis with Ret-Sync
Bière sécu Bordeaux 1st event Date 26/02/2020 Place Zytho By Jiss – Daniel – Tiana Combining static and dynamic binary analysis ret-sync Date 26/02/2020 Place Zytho By Jean-Christophe Delaunay Context 2 approaches in reverse-engineering (RE) : static (disass/decompile) IDA, Ghidra, etc. dynamic (debug) x64dbg, WinDbg, LLDB, etc. Possible to combine both worlds in the same tool… … but often painful to use (eg. IDA dbg) Annoying to switch between multiple tools 3 / 29 Context Classical example: I’m debugging using WinDbg, I spot a routine or structure which seems interesting I’d like to know if I’ve already documented it within IDA … I need to compute the offset from the load address of my module (ASLR/relloc) … add it to the preferred load address of my module in my idb Conclusion: straightforward but painful if I have to do that every 2 minutes … even more painful provided that I use x64dbg for usermode and WinDbg for kernelmode 4 / 29 Solutions Code a new tool which would combine both worlds… 5 / 29 Solutions Code a new tool which would combine both worlds… 6 / 29 Solutions Code a new tool which would combine both worlds… Set-up a glue which would create an interface between the disass and the debugger(s)… … ret-sync by Alexandre Gazet https://github.com/bootleg/ret-sync 7 / 29 ret-sync: support Static: IDA Ghidra Dynamic: WinDbg(-preview) GDB LLDB OllyDbg 1.10 OllyDbg v2 x64dbg 8 / 29 ret-sync: features Permits to “follow” the program workflow in IDA/Ghidra view “step” in the dbg “step” in the disass static view Dynamic switching between multiple idbs trace within toto.exe trace within toto.idb toto.exe issues a call in fistouille.dll switch to fistouille.idb Automagical rebase Sending commands to the dbg (bp, hbp, lbl, etc.) Custom commands1 All features are available both in disass AND decompiled views etc. -
Improving Mobile-Malware Investigations with Static and Dynamic Code Analysis Techniques
IMPROVING MOBILE-MALWARE INVESTIGATIONS WITH STATIC AND DYNAMIC CODE ANALYSIS TECHNIQUES Vom Fachbereich Informatik (FB 20) der Technischen Universität Darmstadt zur Erlangung des akademischen Grades eines Doktor-Ingenieurs (Dr.-Ing.) genehmigte Dissertation von Siegfried Rasthofer, M.Sc. geboren in Landshut, Deutschland. Referenten: Prof. Dr. Eric Bodden (Referent) Prof. Dr. Andreas Zeller (Korreferent) Prof. Dr. Mira Mezini (Korreferentin) Tag der Einreichung: 7. November 2016 Tag der Disputation: 22. Dezember 2016 Darmstadt 2017 Hochschulkennziffer: D17 Siegfried Rasthofer: Improving Mobile-Malware Investigations with Static and Dynamic Code Analysis Techniques © January 2017 phd referees: Prof. Dr. Eric Bodden Prof. Dr. Andreas Zeller Prof. Dr. Mira Mezini further phd committee members: Prof. Dr. Reiner Hähnle Prof. Dr. Christian Bischof Prof. Dr. Patrick Eugster Darmstadt, Germany January 2017 ABSTRACT Similar to the PC world, the abundance of mobile malware has become a serious threat to smartphone users. Thousands of new apps or app versions are uploaded to popular app stores every day. All of them need to be analyzed against violations of the app store’s content policy. In particular, one wishes to detect whether an application contains malicious behavior. Similarly, antivirus companies check thousands of apps every day to determine whether or not they are malicious. Both app store operators and antivirus vendors face the same problem: it is generally challenging to tell apart malware from benign applications. This is because malware developers aim to hide their applications’ malicious behavior as long as possible from being detected by applying different obfuscation techniques. The raising sophistication with which such measures are implemented pose a serious problem not just to automated malware detection approaches but also to the manual analysis of potential malware by human experts. -
A Novel Two-Factor Honeytoken Authentication Mechanism
A novel Two-Factor HoneyToken Authentication Mechanism Vassilis Papaspirou Leandros Maglaras Mohamed Amine Ferrag Department of Computer Science Cyber Technology Institute Department of Computer Science University of Thessaly De Montfort University University of Guelma Volos, Greece Leicester, UK Guelma, Algeria [email protected] [email protected] [email protected] Ioanna Kantzavelou Helge Janicke Christos Douligeris Department of Informatics Cyber Security Cooperative Research Centre Department of Informatics University of West of Attica Edith Cowan University University of Piraeus Athens, Greece Australia [email protected] [email protected] [email protected] Abstract—The majority of systems rely on user authentication guessing, etc. Several best practices have been suggested on passwords, but passwords have so many weaknesses and for the use of passwords. Some of them are very difficult widespread use that easily raise significant security concerns, to use and others do not fulfill the security needs of the regardless of their encrypted form. Users hold the same password for different accounts, administrators never check password files organization. To overcome the password problem, two factor for flaws that might lead to a successful cracking, and the lack of authentication using devices such as tokens and ATM cards a tight security policy regarding regular password replacement has been suggested and has been shown to be difficult to hack are a few problems that need to be addressed. The proposed re- [2]. There are several limitations of two-factor authentication, search work aims at enhancing this security mechanism, prevent including the cost of purchasing, issuing, and handling tokens penetrations, password theft, and attempted break-ins towards securing computing systems. -
INFILTRATE Ghidra
Three Heads Are Better Than One: Mastering NSA's Ghidra Reverse Engineering Tool Alexei Bulazel Jeremy Blackthorne @0xAlexei @0xJeremy github.com/0xAlexei/INFILTRATE2019 Disclaimer This material is based on the publicly released Ghidra, there is no classified information in this presentation Alexei Bulazel @0xAlexei ● Senior Security Researcher at River Loop Security ● Research presentations and publications: ○ Presentations at REcon (MTL & BRX), SummerCon, DEFCON, Black Hat, etc. ○ Academic publications at USENIX WOOT and ROOTS ○ Cyber policy in Lawfare, etc. ● Collaborated with Jeremy on research at RPI, MIT Lincoln Laboratory, and Boston Cybernetics Institute ● Proud RPISEC alumnus Jeremy Blackthorne @0xJeremy ● Instructor at the Boston Cybernetics Institute ● PhD candidate at RPI focused on environmental keying ● Former researcher at MIT Lincoln Laboratory ● United States Marine Corps 2002 - 2006 ● RPISEC alumnus Outline 1. Intro 2. Interactive Exercises a. Manual Static Analysis b. Scripting Ghidra 3. P-Code & SLEIGH 4. Discussion 5. Conclusion Participating 1. Install OpenJDK 11, add its bin directory to your PATH ● jdk.java.net/11 2. Download Ghidra ● ghidra-sre.org ● github.com/NationalSecurityAgency/ghidra/releases 3. Download our demo scripts and binaries ● github.com/0xAlexei/INFILTRATE2019 Ghidra ● Java-based interactive reverse engineering tool developed by US National Security Agency - similar in functionality to IDA Pro, Binary Ninja, etc… ○ Static analysis only currently, debugger support promised to be coming soon ○ Runs on Mac, Linux, and Windows ● All credit for creating Ghidra goes to the developers at NSA ● Released open source at RSA in March 2019 ○ 1.2M+ lines of code ● NSA has not discussed the history of the tool, but comments in source files go as far back as February 1999 Outline 1. -
Arxiv:1611.10231V1 [Cs.CR] 30 Nov 2016 a INTRODUCTION 1
00 Android Code Protection via Obfuscation Techniques: Past, Present and Future Directions Parvez Faruki, Malaviya National Institute of Technology Jaipur, India Hossein Fereidooni, University of Padua, Italy Vijay Laxmi, Malaviya National Institute of Technology Jaipur, India Mauro Conti, University of Padua, Italy Manoj Gaur, Malaviya National Institute of Technology Jaipur, India Mobile devices have become ubiquitous due to centralization of private user information, contacts, messages and multiple sensors. Google Android, an open-source mobile Operating System (OS), is currently the mar- ket leader. Android popularity has motivated the malware authors to employ set of cyber attacks leveraging code obfuscation techniques. Obfuscation is an action that modifies an application (app) code, preserving the original semantics and functionality to evade anti-malware. Code obfuscation is a contentious issue. Theoretical code analysis techniques indicate that, attaining a verifiable and secure obfuscation is impos- sible. However, obfuscation tools and techniques are popular both among malware developers (to evade anti-malware) and commercial software developers (protect intellectual rights). We conducted a survey to uncover answers to concrete and relevant questions concerning Android code obfuscation and protection techniques. The purpose of this paper is to review code obfuscation and code protection practices, and evalu- ate efficacy of existing code de-obfuscation tools. In particular, we discuss Android code obfuscation methods, custom app protection techniques, and various de-obfuscation methods. Furthermore, we review and ana- lyze the obfuscation techniques used by malware authors to evade analysis efforts. We believe that, there is a need to investigate efficiency of the defense techniques used for code protection. This survey would be beneficial to the researchers and practitioners, to understand obfuscation and de-obfuscation techniques to propose novel solutions on Android. -
Verifying the Integrity of Open Source Android Applications Michael Macnair
Verifying the Integrity of Open Source Android Applications Michael Macnair Technical Report RHUL–MA–2015–4 4 March 2015 Information Security Group Royal Holloway University of London Egham, Surrey, TW20 0EX United Kingdom www.ma.rhul.ac.uk/tech Michael Macnair Student number: 100761605 Verifying the Integrity of Open Source Android Applications 28th August 2014 Supervisor: Keith Mayes Submitted as part of the requirements for the award of the MSc in Information Security at Royal Holloway, University of London. I declare that this assignment is all my own work and that I have acknowledged all quotations from published or unpublished work of other people. I also declare that I have read the statements on plagiarism in Section 1 of the Regulations Governing Examination and Assessment Offences, and in accordance with these regulations I submit this project report as my own work. Signature: Contents Executive Summary 1 1 Introduction 3 1.1 Android and Android Applications . 3 1.2 Reverse Engineering . 4 1.3 Obfuscation . 4 1.4 Verifying Integrity of Binary Distributions . 5 1.5 Objectives . 5 1.6 Report Structure . 6 2 Use Cases for Reversing and Obfuscation 7 2.1 Use Cases . 7 2.2 Conclusion . 10 3 Reverse Engineering Android Applications 11 3.1 The APK File Format . 11 3.2 Techniques . 12 3.3 Tools . 14 4 Verifying Android Application Integrity 23 4.1 APKDiff . 23 4.2 AppIntegrity . 26 5 Analysis of Applications on the Play Store 35 5.1 RedPhone . 35 5.2 ChatSecure . 37 5.3 Telegram . 38 5.4 TextSecure . 40 5.5 Lil’ Debi: Debian Installer . -
Challenges in Firmware Re-Hosting, Emulation, and Analysis
Challenges in Firmware Re-Hosting, Emulation, and Analysis CHRISTOPHER WRIGHT, Purdue University WILLIAM A. MOEGLEIN, Sandia National Laboratories SAURABH BAGCHI, Purdue University MILIND KULKARNI, Purdue University ABRAHAM A. CLEMENTS, Sandia National Laboratories System emulation and firmware re-hosting have become popular techniques to answer various security and performance related questions, such as, does a firmware contain security vulnerabilities or meet timing requirements when run on a specific hardware platform. While this motivation for emulation and binary analysis has previously been explored and reported, starting to either work or research in the field is difficult. To this end, we provide a comprehensive guide for the practitioner or system emulation researcher. We layout common challenges faced during firmware re-hosting, explaining successive steps and surveying common tools used to overcome these challenges. We provide classification techniques on five different axes, including emulator methods, system type, fidelity, emulator purpose, and control. These classifications and comparison criteria enable the practitioner to determine the appropriate tool for emulation. We use our classifications to categorize popular works in the field and present 28 common challenges faced when creating, emulating and analyzing a system, from obtaining firmwares to post emulation analysis. CCS Concepts: • Computer systems organization → Embedded and cyber-physical systems; Firmware; Embedded hardware; Embedded software; Real-time systems; • Hardware → Simulation and emulation. Additional Key Words and Phrases: Firmware re-hosting, system emulation, embedded systems, emulation fidelity, emulator classification, binary analysis, reverse engineering, emulation challenges ACM Reference Format: Christopher Wright, William A. Moeglein, Saurabh Bagchi, Milind Kulkarni, and Abraham A. Clements. 2020. Challenges in Firmware Re-Hosting, Emulation, and Analysis. -
A Reverse Engineering Approach
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2019 Android ransomware trends and case studies: A reverse engineering approach Chenliang Xu Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Computer Engineering Commons Recommended Citation Xu, Chenliang, "Android ransomware trends and case studies: A reverse engineering approach" (2019). Graduate Theses and Dissertations. 17810. https://lib.dr.iastate.edu/etd/17810 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Android ransomware trends and case studies: A reverse engineering approach by Chenliang Xu A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Computer Engineering Program of Study Committee: Yong Guan, Major Professor Daji, Qiao Jaeyoun Kim The student author, whose presentation of the scholarship herein was approved by the program of study committee, is solely responsible for the content of this thesis. The Graduate College will ensure this thesis is globally accessible and will not permit alterations after a degree is conferred. Iowa State University Ames, Iowa 2019 Copyright © Chenliang -
Cardpliance: PCI DSS Compliance of Android Applications
Cardpliance: PCI DSS Compliance of Android Applications Samin Yaseer Mahmud,? Akhil Acharya,? Benjamin Andow,† William Enck,? and Bradley Reaves? ?North Carolina State University †IBM T.J. Watson Research Center Abstract a virtual token that is linked to the actual credit card, and b) Smartphones and their applications have become a predomi- handling both payment information and authorization outside nant way of computing, and it is only natural that they have of the third-party application [3]. However, recent work [8] become an important part of financial transaction technology. reported that 4,433 of a random sample of 50,162 applications However, applications asking users to enter credit card num- from Google Play were asking the user to enter credit card bers have been largely overlooked by prior studies, which information via text fields in the application UI. There are frequently report pervasive security and privacy concerns in many reasons why this may occur. For example, an appli- the general mobile application ecosystem. Such applications cation developer may wish to offer an alternative if the user are particularly security-sensitive, and they are subject to the does not want to use the Google or Apple payment system. Payment Card Industry Data Security Standard (PCI DSS). Alternatively, the application developer may wish to avoid In this paper, we design a tool called Cardpliance, which overhead charges from Google and Apple [37, 38]. Whatever bridges the semantics of the graphical user interface with the reason, the fact remains: applications are asking users to static program analysis to capture relevant requirements from enter credit card information. -
Happer: Unpacking Android Apps Via a Hardware-Assisted Approach
Happer: Unpacking Android Apps via a Hardware-Assisted Approach 1 1 1 2 3 4 5 6 Lei Xue ⇤, Hao Zhou ⇤, Xiapu Luo §, Yajin Zhou , Yang Shi , Guofei Gu , Fengwei Zhang , Man Ho Au 1The Hong Kong Polytechnic University, 2Zhejiang University 3Tongji University, 4Texas A&M University 5Southern University of Science and Technology, 6The University of Hong Kong Abstract—Malware authors are abusing packers (or runtime- TABLE I: An overview of existing unpackers in academia. based obfuscators) to protect malicious apps from being analyzed. Unpacker Effectiveness Hidden Dex file1 Hidden Dex item1 #Behaviors2 Although many unpacking tools have been proposed, they can DexHunter-15 [86] 7 3 be easily impeded by the anti-analysis methods adopted by the AppSpear-15 [79] 7 4 packers, and they fail to effectively collect the hidden Dex data PackerGrind-17 [72] 7 7 AppSpear-18 [53] 7 6 due to the evolving protection strategies of packers. Consequently, DroidUnpack-18 [45] 7 3 many packing behaviors are unknown to analysts and packed DexLego-18 [56] 7 N/A TIRO-18 [70] 7 4 malware can circumvent the inspection. To fill the gap, in this Happer 3 27 paper, we propose a novel hardware-assisted approach that first 1 , , and indicate that all of, partial of, and none of the hidden Dex file (or the other hidden Dex data), respectively, which will be dynamically released by the packers, can be collected by the unpacker. monitors the packing behaviors and then selects the proper 2 approach to unpack the packed apps. Moreover, we develop a #Behavior denotes the number of supported packing behaviors (more details in Table IV).