Beware of the 64-Bit Malware
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A Story of an Embedded Linux Botnet
A Moose Once Bit My Honeypot A Story of an Embedded Linux Botnet by Olivier Bilodeau (@obilodeau) $ apropos Embedded Linux Malware Moose DNA (description) Moose Herding (the Operation) What’s New? Take Aways $ whoami Malware Researcher at ESET Infosec lecturer at ETS University in Montreal Previously infosec developer, network admin, linux system admin Co-founder Montrehack (hands-on security workshops) Founder NorthSec Hacker Jeopardy Embedded Linux Malware What marketing likes to call "Internet of Things Malware" Malware Running On An Embedded Linux System Like consumer routers DVR Smart TVs IP Camera monitoring systems … Caracteristics of Embedded Linux Systems Small amount of memory Small amount of flash Non x86 architectures: ARM, MIPS Wide-variety of libc implementations / versions Same ABI-compatible Linux kernel (2.4 < x < 4.3) Support ELF binaries Rarely an integrated UI Networked Why Threats On These Systems Matters? Hard to detect Hard to remediate Hard to fix Low hanging fruit for bad guys It’s Real Several cases disclosed in the last two years A lot of same-old background noise (DDoSer) Things are only getting worse Wait, is IoT malware really about things? NNoo.. NNoott yyeett.. So what kind of malware can we find on such insecure devices? Linux/Aidra Linux/Bassobo ChinaZ family (XOR.DDoS, …) Linux/Dofloo Linux/DNSAmp (Mr Black, BillGates) Linux/Gafgyt (LizardStresser) Linux/Hydra Linux/Tsunami … LLeessssoonn LLeeaarrnneedd ##00 Statically-linked stripped binaries Static/stripped ELF primer No imports (library calls) present -
Exploring the X64
Exploring the x64 Junichi Murakami Executive Officer, Director of Research Fourteenforty Research Institute, Inc. Who am I? • Junichi Murakami – @Fourteenforty Research Institute, Inc. – Both Windows and Linux kernel development – Reversing malware and P2P software, etc. – Speaker at: • Black Hat 2008 US and Japan, AVAR 2009, RSA Conference(2009-) – Instructor at Security & Programming Camp(2006-) 2 Environment • Windows 7 x64 Edition • Visual Studio 2008 • Windbg • IDA Pro Advanced – STD doesn’t support x64, an offering is needed! 4 Agenda • Windows x64 • ABI(Application Binary Interface) • API Hooking • Code Injection 5 Windows x64 • Native x64 and WoW64 • Virtual Address Space – 2^64 = 16 Exa Byte ( Exa: 10^18) – but, limited to 16TB by Microsoft • File/Registry reflection • New 64-bit APIs – IsWow64Process, GetNativeSystemInfo, etc. 6 ABI • Binary Format • Register • Calling Convention • Exception Handling • Systemcall(x64, WoW64) 11 Binary Format(Cont.) • Some fields were extended to 64-bits – IMAGE_NT_HEADERS.IMAGE_OPTIONAL_HEADER • ImageBase • SizeOfStackReserve • SizeOfStackCommit • SizeOfHeapReserve • SizeOfHeapCommit 13 Calling Convention • first 4 parameters are passed by RCX, RDX, R8, R9 – 5th and later are passed on the stack • caller allocates register home space on the stack • RAX is used for return values • leaf / non-leaf function – leaf function: never use stack – PE32+ contains non-leaf function’s information in its EXCEPTION DIRECTORY • Register’s volatility – volatile: RAX, RCX, RDX, R8-R11 15 Exception Handling • -
Through the Looking Glass: Webcam Interception and Protection in Kernel
VIRUS BULLETIN www.virusbulletin.com Covering the global threat landscape THROUGH THE LOOKING GLASS: and WIA (Windows Image Acquisition), which provides a WEBCAM INTERCEPTION AND still image acquisition API. PROTECTION IN KERNEL MODE ATTACK VECTORS Ronen Slavin & Michael Maltsev Reason Software, USA Let’s pretend for a moment that we’re the bad guys. We have gained control of a victim’s computer and we can run any code on it. We would like to use his camera to get a photo or a video to use for our nefarious purposes. What are our INTRODUCTION options? When we talk about digital privacy, the computer’s webcam The simplest option is just to use one of the user-mode APIs is one of the most relevant components. We all have a tiny mentioned previously. By default, Windows allows every fear that someone might be looking through our computer’s app to access the computer’s camera, with the exception of camera, spying on us and watching our every move [1]. And Store apps on Windows 10. The downside for the attackers is while some of us think this scenario is restricted to the realm that camera access will turn on the indicator LED, giving the of movies, the reality is that malware authors and threat victim an indication that somebody is watching him. actors don’t shy away from incorporating such capabilities A sneakier method is to spy on the victim when he turns on into their malware arsenals [2]. the camera himself. Patrick Wardle described a technique Camera manufacturers protect their customers by incorporating like this for Mac [8], but there’s no reason the principle into their devices an indicator LED that illuminates when can’t be applied to Windows, albeit with a slightly different the camera is in use. -
Chapter 0X9: Dynamic Monitoring (Tools)
The Art of Mac Malware: Analysis p. wardle Chapter 0x9: Dynamic Monitoring (Tools) Note: This book is a work in progress. You are encouraged to directly comment on these pages ...suggesting edits, corrections, and/or additional content! To comment, simply highlight any content, then click the icon which appears (to the right on the document’s border). 1 The Art of Mac Malware: Analysis p. wardle Note: As dynamic analysis involves executing the malware (to observe its actions), always perform such analysis in a virtual machine (VM) or on a dedicated malware analysis machine. ...in other words, don’t perform dynamic analysis on your main (base) system! In this chapter, we’ll focus on various dynamic analysis monitoring tools. Specifically, we’ll illustrate how process, file, and network monitors can efficiently provide invaluable insight into the capabilities and functionality of malware specimens. Process Monitoring Malware often spawns or executes child processes. If observed via a process monitor, such processes may quickly provide insight into the behavior and capabilities of the malware. Often such processes are built-in (system) command line utilities that the malware executes in order to (lazily) delegate required actions. For example: ■ A malicious installer might invoke the move (/bin/mv) or copy (/bin/cp) utilities to persistently install the malware. ■ To survey the system, the malware might invoke the process status (/bin/ps) utility to get a list of running processes, or the /usr/bin/whoami utility to determine the current user’s permissions. ■ The results of this survey may then be exfiltrated to a remote command and control server via /usr/bin/curl. -
Botection: Bot Detection by Building Markov Chain Models of Bots Network Behavior Bushra A
BOTection: Bot Detection by Building Markov Chain Models of Bots Network Behavior Bushra A. Alahmadi Enrico Mariconti Riccardo Spolaor University of Oxford, UK University College London, UK University of Oxford, UK [email protected] [email protected] [email protected] Gianluca Stringhini Ivan Martinovic Boston University, USA University of Oxford, UK [email protected] [email protected] ABSTRACT through DDoS (e.g. DDoS on Estonia [22]), email spam (e.g. Geodo), Botnets continue to be a threat to organizations, thus various ma- ClickFraud (e.g. ClickBot), and spreading malware (e.g. Zeus). 10,263 chine learning-based botnet detectors have been proposed. How- malware botnet controllers (C&C) were blocked by Spamhaus Mal- ever, the capability of such systems in detecting new or unseen ware Labs in 2018 alone, an 8% increase from the number of botnet 1 botnets is crucial to ensure its robustness against the rapid evo- C&Cs seen in 2017. Cybercriminals are actively monetizing bot- lution of botnets. Moreover, it prolongs the effectiveness of the nets to launch attacks, which are evolving significantly and require system in detecting bots, avoiding frequent and time-consuming more effective detection mechanisms capable of detecting those classifier re-training. We present BOTection, a privacy-preserving which are new or unseen. bot detection system that models the bot network flow behavior Botnets rely heavily on network communications to infect new as a Markov Chain. The Markov Chains state transitions capture victims (propagation), to communicate with the C&C server, or the bots’ network behavior using high-level flow features as states, to perform their operational task (e.g. -
Post-Mortem of a Zombie: Conficker Cleanup After Six Years Hadi Asghari, Michael Ciere, and Michel J.G
Post-Mortem of a Zombie: Conficker Cleanup After Six Years Hadi Asghari, Michael Ciere, and Michel J.G. van Eeten, Delft University of Technology https://www.usenix.org/conference/usenixsecurity15/technical-sessions/presentation/asghari This paper is included in the Proceedings of the 24th USENIX Security Symposium August 12–14, 2015 • Washington, D.C. ISBN 978-1-939133-11-3 Open access to the Proceedings of the 24th USENIX Security Symposium is sponsored by USENIX Post-Mortem of a Zombie: Conficker Cleanup After Six Years Hadi Asghari, Michael Ciere and Michel J.G. van Eeten Delft University of Technology Abstract more sophisticated C&C mechanisms that are increas- ingly resilient against takeover attempts [30]. Research on botnet mitigation has focused predomi- In pale contrast to this wealth of work stands the lim- nantly on methods to technically disrupt the command- ited research into the other side of botnet mitigation: and-control infrastructure. Much less is known about the cleanup of the infected machines of end users. Af- effectiveness of large-scale efforts to clean up infected ter a botnet is successfully sinkholed, the bots or zom- machines. We analyze longitudinal data from the sink- bies basically remain waiting for the attackers to find hole of Conficker, one the largest botnets ever seen, to as- a way to reconnect to them, update their binaries and sess the impact of what has been emerging as a best prac- move the machines out of the sinkhole. This happens tice: national anti-botnet initiatives that support large- with some regularity. The recent sinkholing attempt of scale cleanup of end user machines. -
Undergraduate Report
UNDERGRADUATE REPORT Attack Evolution: Identifying Attack Evolution Characteristics to Predict Future Attacks by MaryTheresa Monahan-Pendergast Advisor: UG 2006-6 IINSTITUTE FOR SYSTEMSR RESEARCH ISR develops, applies and teaches advanced methodologies of design and analysis to solve complex, hierarchical, heterogeneous and dynamic problems of engineering technology and systems for industry and government. ISR is a permanent institute of the University of Maryland, within the Glenn L. Martin Institute of Technol- ogy/A. James Clark School of Engineering. It is a National Science Foundation Engineering Research Center. Web site http://www.isr.umd.edu Attack Evolution 1 Attack Evolution: Identifying Attack Evolution Characteristics To Predict Future Attacks MaryTheresa Monahan-Pendergast Dr. Michel Cukier Dr. Linda C. Schmidt Dr. Paige Smith Institute of Systems Research University of Maryland Attack Evolution 2 ABSTRACT Several approaches can be considered to predict the evolution of computer security attacks, such as statistical approaches and “Red Teams.” This research proposes a third and completely novel approach for predicting the evolution of an attack threat. Our goal is to move from the destructive nature and malicious intent associated with an attack to the root of what an attack creation is: having successfully solved a complex problem. By approaching attacks from the perspective of the creator, we will chart the way in which attacks are developed over time and attempt to extract evolutionary patterns. These patterns will eventually -
2015 Threat Report Provides a Comprehensive Overview of the Cyber Threat Landscape Facing Both Companies and Individuals
THREAT REPORT 2015 AT A GLANCE 2015 HIGHLIGHTS A few of the major events in 2015 concerning security issues. 08 07/15: Hacking Team 07/15: Bugs prompt 02/15: Europol joint breached, data Ford, Range Rover, 08/15: Google patches op takes down Ramnit released online Prius, Chrysler recalls Android Stagefright botnet flaw 09/15: XcodeGhost 07/15: Android 07/15: FBI Darkode tainted apps prompts Stagefright flaw 08/15: Amazon, ENFORCEMENT bazaar shutdown ATTACKS AppStore cleanup VULNERABILITY reported SECURITYPRODUCT Chrome drop Flash ads TOP MALWARE BREACHING THE MEET THE DUKES FAMILIES WALLED GARDEN The Dukes are a well- 12 18 resourced, highly 20 Njw0rm was the most In late 2015, the Apple App prominent new malware family in 2015. Store saw a string of incidents where dedicated and organized developers had used compromised tools cyberespionage group believed to be to unwittingly create apps with malicious working for the Russian Federation since behavior. The apps were able to bypass at least 2008 to collect intelligence in Njw0rm Apple’s review procedures to gain entry support of foreign and security policy decision-making. Angler into the store, and from there into an ordinary user’s iOS device. Gamarue THE CHAIN OF THE CHAIN OF Dorkbot COMPROMISE COMPROMISE: 23 The Stages 28 The Chain of Compromise Nuclear is a user-centric model that illustrates Kilim how cyber attacks combine different Ippedo techniques and resources to compromise Dridex devices and networks. It is defined by 4 main phases: Inception, Intrusion, WormLink Infection, and Invasion. INCEPTION Redirectors wreak havoc on US, Europe (p.28) INTRUSION AnglerEK dominates Flash (p.29) INFECTION The rise of rypto-ransomware (p.31) THREATS BY REGION Europe was particularly affected by the Angler exploit kit. -
Survivor: a Fine-Grained Intrusion Response and Recovery Approach for Commodity Operating Systems
Survivor: A Fine-Grained Intrusion Response and Recovery Approach for Commodity Operating Systems Ronny Chevalier David Plaquin HP Labs HP Labs CentraleSupélec, Inria, CNRS, IRISA [email protected] [email protected] Chris Dalton Guillaume Hiet HP Labs CentraleSupélec, Inria, CNRS, IRISA [email protected] [email protected] ABSTRACT 1 INTRODUCTION Despite the deployment of preventive security mechanisms to pro- Despite progress in preventive security mechanisms such as cryp- tect the assets and computing platforms of users, intrusions even- tography, secure coding practices, or network security, given time, tually occur. We propose a novel intrusion survivability approach an intrusion will eventually occur. Such a case may happen due to to withstand ongoing intrusions. Our approach relies on an orches- technical reasons (e.g., a misconfiguration, a system not updated, tration of fine-grained recovery and per-service responses (e.g., or an unknown vulnerability) and economic reasons [39] (e.g., do privileges removal). Such an approach may put the system into a the benefits of an intrusion for criminals outweigh their costs?). degraded mode. This degraded mode prevents attackers to reinfect To limit the damage done by security incidents, intrusion re- the system or to achieve their goals if they managed to reinfect covery systems help administrators restore a compromised system it. It maintains the availability of core functions while waiting for into a sane state. Common limitations are that they do not preserve patches to be deployed. We devised a cost-sensitive response se- availability [23, 27, 34] (e.g., they force a system shutdown) or that lection process to ensure that while the service is in a degraded they neither stop intrusions from reoccurring nor withstand re- mode, its core functions are still operating. -
A Definitive Guide to Windows 10 Management: a Vmware Whitepaper
A Definitive Guide to Windows 10 Management: A VMware Whitepaper November 2015 Table of Contents Executive Summary.................................................................................................................3 Challenges with Windows Management..........................................................................5 How Windows 10 Differs........................................................................................................7 Windows 10 Management Features....................................................................................9 New Methods of Updates......................................................................................................10 New Methods of Enrollment and Device Provisioning................................................11 Unified Application Experiences.........................................................................................13 Domain Joined Management................................................................................................16 Application Delivery.............................................................................................................17 Universal Applications.........................................................................................................17 Classic Windows Applications.........................................................................................17 Cloud-based Applications.................................................................................................17 -
AV-TEST Security Report for 2016/2017
FACTS AND FIGURES SECURITY REPORT The AV-TEST Security Report 2 WINDOWS Security Status 5 macOS Security Status 10 ANDROID Security Status 13 INTERNET THREATS Security Status 16 IoT Security Status 19 2016/17 Test Statistics 22 FACTS AND FIGURES Declining malware statistics It remains positive to note that the declining malware trend in 2016 The AV-TEST provided some relief, at least quantitatively. Thus, compared to 2015, detection systems were required to seek out and defend against 14% fewer Security Report malware samples. In total, this amounted to precisely 11,725,292 fewer newly developed malware programs than in the previous year. It should not be The best news right off the bat: forgotten, however, that the volume of newly developed malware in 2016 still represented the second-highest since the beginning of measurements by Compared to the previous year, the AV-TEST systems. In addition, 2015 saw skyrocketing growth in malware the detection systems of AV-TEST showed programs and in comparison to 2014, practically a doubling of the sample statistics. The overall number of malware programs for all operating systems a slight decline in the development currently exceeds 640 million. of malware programs for the year 2016. Without wanting to belittle the positive trend for 2016, the fact remains that Overall, that is a pleasing trend, however there have been several short-term downward trends since the beginning of by no means any reason to celebrate, measurements in 1984, a total of six times, without seriously influencing the clear, long-term trend – towards more malware. Despite declining numbers, as evidenced by the AV-TEST Institute‘s in 2016, the AV-TEST analysis systems still recorded an average of 350,000 statistics of this year‘s Security Report. -
The Botnet Chronicles a Journey to Infamy
The Botnet Chronicles A Journey to Infamy Trend Micro, Incorporated Rik Ferguson Senior Security Advisor A Trend Micro White Paper I November 2010 The Botnet Chronicles A Journey to Infamy CONTENTS A Prelude to Evolution ....................................................................................................................4 The Botnet Saga Begins .................................................................................................................5 The Birth of Organized Crime .........................................................................................................7 The Security War Rages On ........................................................................................................... 8 Lost in the White Noise................................................................................................................. 10 Where Do We Go from Here? .......................................................................................................... 11 References ...................................................................................................................................... 12 2 WHITE PAPER I THE BOTNET CHRONICLES: A JOURNEY TO INFAMY The Botnet Chronicles A Journey to Infamy The botnet time line below shows a rundown of the botnets discussed in this white paper. Clicking each botnet’s name in blue will bring you to the page where it is described in more detail. To go back to the time line below from each page, click the ~ at the end of the section. 3 WHITE