Vtz: Virtualizing ARM Trustzone
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FIT to WORK: IMPROVING the SECURITY of MONITORED EMPLOYEES' HEALTH DATA Elizabeth A. Brown INTRODUCTION Imagine Coming to Work
FIT TO WORK: IMPROVING THE SECURITY OF MONITORED EMPLOYEES' HEALTH DATA Elizabeth A. Brown1 INTRODUCTION Imagine coming to work one day and finding that your employer has given everyone in the company a wearable FitBit health monitor, free of charge. You pop the FitBit on, grateful for another bit of help in managing the health concerns that nag at you persistently but which never quite rise to the top of your priority list. At your next performance review, your supervisor expresses concern about your anxiety levels. Although your work output is slightly off, she notes, there has been a correlation in your lack of sleep and exercise, and she suspects you are depressed. You wonder how your employer might know these things, whether or not they are true, and then you remember the FitBit. Your supervisor then tells you that the promotion you had wanted is going to a colleague who is “better equipped to handle the demands of the job.” You interview for another job, and are asked to provide the password to the HealthDrive account that centralizes the fitness data all the apps on your iPhone collect about you during the day. Similar scenarios are playing out now in workplaces across the country, and will do so more frequently as the personal health sensor market and employee monitoring trends continue to grow. Employers are making key decisions based on employees’ biometric data, collected from specialized devices like a FitBit or the health-related apps installed on mobile phones. BP, for example, adjusts its employees’ health care premiums depending on how much physical activity their wearable FitBit devices monitor – devices that BP provides to thousands of employees, their spouses, and retirees for free. -
Your Voice Assistant Is Mine: How to Abuse Speakers to Steal Information and Control Your Phone ∗ †
Your Voice Assistant is Mine: How to Abuse Speakers to Steal Information and Control Your Phone ∗ y Wenrui Diao, Xiangyu Liu, Zhe Zhou, and Kehuan Zhang Department of Information Engineering The Chinese University of Hong Kong {dw013, lx012, zz113, khzhang}@ie.cuhk.edu.hk ABSTRACT General Terms Previous research about sensor based attacks on Android platform Security focused mainly on accessing or controlling over sensitive compo- nents, such as camera, microphone and GPS. These approaches Keywords obtain data from sensors directly and need corresponding sensor invoking permissions. Android Security; Speaker; Voice Assistant; Permission Bypass- This paper presents a novel approach (GVS-Attack) to launch ing; Zero Permission Attack permission bypassing attacks from a zero-permission Android application (VoicEmployer) through the phone speaker. The idea of 1. INTRODUCTION GVS-Attack is to utilize an Android system built-in voice assistant In recent years, smartphones are becoming more and more popu- module – Google Voice Search. With Android Intent mechanism, lar, among which Android OS pushed past 80% market share [32]. VoicEmployer can bring Google Voice Search to foreground, and One attraction of smartphones is that users can install applications then plays prepared audio files (like “call number 1234 5678”) in (apps for short) as their wishes conveniently. But this convenience the background. Google Voice Search can recognize this voice also brings serious problems of malicious application, which have command and perform corresponding operations. With ingenious been noticed by both academic and industry fields. According to design, our GVS-Attack can forge SMS/Email, access privacy Kaspersky’s annual security report [34], Android platform attracted information, transmit sensitive data and achieve remote control a whopping 98.05% of known malware in 2013. -
Pwny Documentation Release 0.9.0
pwny Documentation Release 0.9.0 Author Nov 19, 2017 Contents 1 pwny package 3 2 pwnypack package 5 2.1 asm – (Dis)assembler..........................................5 2.2 bytecode – Python bytecode manipulation..............................7 2.3 codec – Data transformation...................................... 11 2.4 elf – ELF file parsing.......................................... 16 2.5 flow – Communication......................................... 36 2.6 fmtstring – Format strings...................................... 41 2.7 marshal – Python marshal loader................................... 42 2.8 oracle – Padding oracle attacks.................................... 43 2.9 packing – Data (un)packing...................................... 44 2.10 php – PHP related functions....................................... 46 2.11 pickle – Pickle tools.......................................... 47 2.12 py_internals – Python internals.................................. 49 2.13 rop – ROP gadgets........................................... 50 2.14 shellcode – Shellcode generator................................... 50 2.15 target – Target definition....................................... 79 2.16 util – Utility functions......................................... 80 3 Indices and tables 83 Python Module Index 85 i ii pwny Documentation, Release 0.9.0 pwnypack is the official CTF toolkit of Certified Edible Dinosaurs. It aims to provide a set of command line utilities and a python library that are useful when playing hacking CTFs. The core functionality of pwnypack -
Understanding and Mitigating Security Risks of Voice-Controlled Third-Party Functions on Virtual Personal Assistant Systems
Dangerous Skills: Understanding and Mitigating Security Risks of Voice-Controlled Third-Party Functions on Virtual Personal Assistant Systems Nan Zhang∗, Xianghang Mi∗, Xuan Fengy∗, XiaoFeng Wang∗, Yuan Tianz and Feng Qian∗ ∗Indiana University, Bloomington Email: fnz3, xmi, xw7, [email protected] yBeijing Key Laboratory of IOT Information Security Technology, Institute of Information Engineering, CAS, China Email: [email protected] zUniversity of Virginia Email: [email protected] Abstract—Virtual personal assistants (VPA) (e.g., Amazon skills by Amazon and actions by Google1) to offer further Alexa and Google Assistant) today mostly rely on the voice helps to the end users, for example, order food, manage bank channel to communicate with their users, which however is accounts and text friends. In the past year, these ecosystems known to be vulnerable, lacking proper authentication (from the user to the VPA). A new authentication challenge, from the VPA are expanding at a breathtaking pace: Amazon claims that service to the user, has emerged with the rapid growth of the VPA already 25,000 skills have been uploaded to its skill market to ecosystem, which allows a third party to publish a function (called support its VPA (including the Alexa service running through skill) for the service and therefore can be exploited to spread Amazon Echo) [1] and Google also has more than one thousand malicious skills to a large audience during their interactions actions available on its market for its Google Home system with smart speakers like Amazon Echo and Google Home. In this paper, we report a study that concludes such remote, large- (powered by Google Assistant). -
Protecting Million-User Ios Apps with Obfuscation: Motivations, Pitfalls, and Experience
Protecting Million-User iOS Apps with Obfuscation: Motivations, Pitfalls, and Experience Pei Wang∗ Dinghao Wu Zhaofeng Chen Tao Wei [email protected] [email protected] [email protected] [email protected] The Pennsylvania State The Pennsylvania State Baidu X-Lab Baidu X-Lab University University ABSTRACT ACM Reference Format: In recent years, mobile apps have become the infrastructure of many Pei Wang, Dinghao Wu, Zhaofeng Chen, and Tao Wei. 2018. Protecting popular Internet services. It is now fairly common that a mobile app Million-User iOS Apps with Obfuscation: Motivations, Pitfalls, and Experi- ence. In ICSE-SEIP ’18: 40th International Conference on Software Engineering: serves a large number of users across the globe. Different from web- Software Engineering in Practice Track, May 27–June 3, 2018, Gothenburg, based services whose important program logic is mostly placed on Sweden. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3183519. remote servers, many mobile apps require complicated client-side 3183524 code to perform tasks that are critical to the businesses. The code of mobile apps can be easily accessed by any party after the software is installed on a rooted or jailbroken device. By examining the code, skilled reverse engineers can learn various knowledge about the 1 INTRODUCTION design and implementation of an app. Real-world cases have shown During the last decade, mobile devices and apps have become the that the disclosed critical information allows malicious parties to foundations of many million-dollar businesses operated globally. abuse or exploit the app-provided services for unrightful profits, However, the prosperity has drawn many malevolent attempts to leading to significant financial losses for app vendors. -
Using Arm Scalable Vector Extension to Optimize OPEN MPI
Using Arm Scalable Vector Extension to Optimize OPEN MPI Dong Zhong1,2, Pavel Shamis4, Qinglei Cao1,2, George Bosilca1,2, Shinji Sumimoto3, Kenichi Miura3, and Jack Dongarra1,2 1Innovative Computing Laboratory, The University of Tennessee, US 2fdzhong, [email protected], fbosilca, [email protected] 3Fujitsu Ltd, fsumimoto.shinji, [email protected] 4Arm, [email protected] Abstract— As the scale of high-performance computing (HPC) with extension instruction sets. systems continues to grow, increasing levels of parallelism must SVE is a vector extension for AArch64 execution mode be implored to achieve optimal performance. Recently, the for the A64 instruction set of the Armv8 architecture [4], [5]. processors support wide vector extensions, vectorization becomes much more important to exploit the potential peak performance Unlike other SIMD architectures, SVE does not define the size of target architecture. Novel processor architectures, such as of the vector registers, instead it provides a range of different the Armv8-A architecture, introduce Scalable Vector Extension values which permit vector code to adapt automatically to the (SVE) - an optional separate architectural extension with a new current vector length at runtime with the feature of Vector set of A64 instruction encodings, which enables even greater Length Agnostic (VLA) programming [6], [7]. Vector length parallelisms. In this paper, we analyze the usage and performance of the constrains in the range from a minimum of 128 bits up to a SVE instructions in Arm SVE vector Instruction Set Architec- maximum of 2048 bits in increments of 128 bits. ture (ISA); and utilize those instructions to improve the memcpy SVE not only takes advantage of using long vectors but also and various local reduction operations. -
Remote Connect 2016
The Convenience of Remote Connect 2016 TOYOTA APP SMARTWATCH GOOGLE AMAZON Remote Connect As a Companion of the Smartphone ASSISTANT ALEXA Toyota Action Toyota Skill Toyota offers an incredible array of convenience and connectivity features. These features now includeGoogle Assistant and Amazon Alexa3 capability – as well as smartwatch integration – for 2018 and later models equipped with Remote Connect². KEY FOB WITH REMOTE FUNCTIONALITY Vehicles equipped with Remote Connect² have key fob13 compatibility for Remote Start1. Connected Services registration will be required to use the complete suite of Remote Connect services, which include Smartphone, Smartwatch, and smart home devices. Audio Plus vehicle key fob functionality is available for up to 3 years. Beyond 3 years requires a subscription. Applicable for select Model Year 2018 through 2020 Remote Connect capable vehicles. Select Model Year 2020 Remote Connect capable vehicles will have functionality for up to 10 years. Premium Audio vehicle key fob functionality is available for up to 10 years. Beyond 10 years requires a subscription. Applicable for select Model Year 2018 through 2020 Remote Connect capable vehicles. Using the key fob to remote start my Toyota: 1. Press the LOCK button on the remote. 2. Press the LOCK button a second time within 1 second. 3. Press the LOCK button again, this time holding it for 3 seconds. The engine will start. Note: Key Fob Remote Start will not function if Connected Services are waived. REMOTE CONNECT EQUIPPED VEHICLES BUILT BEFORE 11/12/18 Remote Connect equipped vehicles built before 11/12/18 were required to have an active Remote Connect trial or paid subscription for the key fob to perform remote start functionality. -
Anatomy of Cross-Compilation Toolchains
Embedded Linux Conference Europe 2016 Anatomy of cross-compilation toolchains Thomas Petazzoni free electrons [email protected] Artwork and Photography by Jason Freeny free electrons - Embedded Linux, kernel, drivers - Development, consulting, training and support. http://free-electrons.com 1/1 Thomas Petazzoni I CTO and Embedded Linux engineer at Free Electrons I Embedded Linux specialists. I Development, consulting and training. I http://free-electrons.com I Contributions I Kernel support for the Marvell Armada ARM SoCs from Marvell I Major contributor to Buildroot, an open-source, simple and fast embedded Linux build system I Living in Toulouse, south west of France Drawing from Frank Tizzoni, at Kernel Recipes 2016 free electrons - Embedded Linux, kernel, drivers - Development, consulting, training and support. http://free-electrons.com 2/1 Disclaimer I I am not a toolchain developer. Not pretending to know everything about toolchains. I Experience gained from building simple toolchains in the context of Buildroot I Purpose of the talk is to give an introduction, not in-depth information. I Focused on simple gcc-based toolchains, and for a number of examples, on ARM specific details. I Will not cover advanced use cases, such as LTO, GRAPHITE optimizations, etc. I Will not cover LLVM free electrons - Embedded Linux, kernel, drivers - Development, consulting, training and support. http://free-electrons.com 3/1 What is a cross-compiling toolchain? I A set of tools that allows to build source code into binary code for -
Digital Forensic Analysis of Smart Watches
TALLINN UNIVERSITY OF TECHNOLOGY School of Information Technologies Kehinde Omotola Adebayo (174449IVSB) DIGITAL FORENSIC ANALYSIS OF SMART WATCHES Bachelor’s Thesis Supervisor: Hayretdin Bahsi Research Professor Tallinn 2020 TALLINNA TEHNIKAÜLIKOOL Infotehnoloogia teaduskond Kehinde Omotola Adebayo (174449IVSB) NUTIKELLADE DIGITAALKRIMINALISTIKA Bachelor’s Thesis Juhendaja: Hayretdin Bahsi Research Professor Tallinn 2020 Author’s declaration of originality I hereby certify that I am the sole author of this thesis. All the used materials, references to the literature and the work of others have been referred to. This thesis has not been presented for examination anywhere else. Author: Kehinde Omotola Adebayo 30.04.2020 3 Abstract As wearable technology is becoming increasingly popular amongst consumers and projected to continue to increase in popularity they become probable significant source of digital evidence. One category of wearable technology is smart watches and they provide capabilities to receive instant messaging, SMS, email notifications, answering of calls, internet browsing, fitness tracking etc. which can be a great source of digital artefacts. The aim of this thesis is to analyze Samsung Gear S3 Frontier and Fitbit Versa Smartwatches, after which we present findings alongside the limitations encountered. Our result shows that we can recover significant artefacts from the Samsung Gear S3 Frontier, also more data can be recovered from Samsung Gear S3 Frontier than the accompanying mobile phone. We recovered significant data that can serve as digital evidence, we also provided a mapping that would enable investigators and forensic examiners work faster as they are shown where to look for information in the course of an investigation. We also presented the result of investigating Fitbit Versa significant artefacts like Heart rate, sleep, exercise and personal data like age, weight and height of the user of the device, this shows this device contains artefacts that might prove useful for forensic investigators and examiners. -
Cross-Compiling Linux Kernels on X86 64: a Tutorial on How to Get Started
Cross-compiling Linux Kernels on x86_64: A tutorial on How to Get Started Shuah Khan Senior Linux Kernel Developer – Open Source Group Samsung Research America (Silicon Valley) [email protected] Agenda ● Cross-compile value proposition ● Preparing the system for cross-compiler installation ● Cross-compiler installation steps ● Demo – install arm and arm64 ● Compiling on architectures ● Demo – compile arm and arm64 ● Automating cross-compile testing ● Upstream cross-compile testing activity ● References and Package repositories ● Q&A Cross-compile value proposition ● 30+ architectures supported (several sub-archs) ● Native compile testing requires wide range of test systems – not practical ● Ability to cross-compile non-natively on an widely available architecture helps detect compile errors ● Coupled with emulation environments (e.g: qemu) testing on non-native architectures becomes easier ● Setting up cross-compile environment is the first and necessary step arch/ alpha frv arc microblaze h8300 s390 um arm mips hexagon score x86_64 arm64 mn10300 unicore32 ia64 sh xtensa avr32 openrisc x86 m32r sparc blackfin parisc m68k tile c6x powerpc metag cris Cross-compiler packages ● Ubuntu arm packages (12.10 or later) – gcc-arm-linux-gnueabi – gcc-arm-linux-gnueabihf ● Ubuntu arm64 packages (13.04 or later) – use arm64 repo for older Ubuntu releases. – gcc-4.7-aarch64-linux-gnu ● Ubuntu keeps adding support for compilers. Search Ubuntu repository for packages. Cross-compiler packages ● Embedded Debian Project is a good resource for alpha, mips, -
Adattester: Secure Online Mobile Advertisement Attestation Using Trustzone
AdAttester: Secure Online Mobile Advertisement Attestation Using TrustZone Wenhao Li, Haibo Li, Haibo Chen, Yubin Xia Institute of Parallel and Distributed Systems Shanghai Jiao Tong University ABSTRACT 1billiondollarsin2013duetothesefraudsandaroundonethird Mobile advertisement (ad for short) is a major financial pillar for of mobile ad clicks may constitute click-spam [18]. The most re- developers to provide free mobile apps. However, it is frequently cent research study [33] shows that, one of the largest click fraud thwarted by ad fraud, where rogue code tricks ad providers by forg- botnets, called ZeroAccess, induces advertising losses on the or- ing ad display or user clicks, or both. With the mobile ad market der of $100,000 per day. Ad frauds can typically be characterized growing drastically (e.g., from $8.76 billion in 2012 to $17.96 bil- into two types [26]: (1) Bot-driven frauds employ bot networks to lion in 2013), it is vitally important to provide a verifiable mobile initiate forged ad impressions and clicks; (2) Interaction frauds ma- ad framework to detect and prevent ad frauds. Unfortunately,this nipulate visual layouts of ads to trigger ad impressions and unaware is notoriously hard as mobile ads usually run in an execution envi- clicks from the end users. ronment with a huge TCB. Because of the urgent need to detecting mobile ad frauds, prior This paper proposes a verifiable mobile ad framework called approaches have made important first steps by using an offline- AdAttester, based on ARM’s TrustZone technology. AdAttester based approach [16, 26]. Specifically, they trigger the execution provides two novel security primitives, namely unforgeable clicks of mobile apps in a controlled environment to observe deviated and verifiable display.Thetwoprimitivesattestthatad-relatedop- behavior to detect ad frauds. -
The Arms Race to Trustzone
The ARMs race to TrustZone Jonathan Levin http://Technologeeks.com (C) 2016 Jonathan Levin & Technologeeks.com - Share freely, but please cite source! `whoami` • Jonathan Levin, CTO of technologeeks[.com] – Group of experts doing consulting/training on all things internal • Author of a growing family of books: – Mac OS X/iOS Internals – Android Internals (http://NewAndroidbook.com ) – *OS Internals (http://NewOSXBook.com ) (C) 2016 Jonathan Levin – Share freely, but please cite source! For more details – Technologeeks.com Plan • TrustZone – Recap of ARMv7 and ARMv8 architecture • iOS Implementation – Apple’s “WatchTower” (Kernel Patch Protector) implementation • Android Implementations – Samsung, Qualcomm, Others (C) 2016 Jonathan Levin & Technologeeks.com - Share freely, but please cite source! TrustZone & ELx (C) 2016 Jonathan Levin & Technologeeks.com - Share freely, but please cite source! TrustZone • Hardware support for a trusted execution environment • Provides a separate “secure world” 安全世界 – Self-contained operating system – Isolated from “non-secure world” • In AArch64, integrates well with Exception Levels (例外層級) – EL3 only exists in the secure world – EL2 (hypervisor) not applicable in secure world. • De facto standard for security enforcement in mobile world (C) 2016 Jonathan Levin & Technologeeks.com - Share freely, but please cite source! TrustZone Regular User mode TrustZone (Untrusted) User mode, root (Untrusted, Privileged) Kernel mode (Trusted, Privileged) Hardware (C) 2016 Jonathan Levin & Technologeeks.com - Share freely, but please cite source! Trust Zone Architecture (Aarch32) 非安全世界 安全世界 Source: ARM documentation (C) 2016 Jonathan Levin & Technologeeks.com - Share freely, but please cite source! Android uses of TrustZone • Cryptographic hardware backing (keystore, gatekeeper) – Key generation, storage and validation are all in secure world – Non secure world only gets “tokens” – Public keys accessible in non-secure world – Secret unlocking (e.g.