Report on Computer Worms and Viruses in 2004 by Christopher J
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Statistical Structures: Fingerprinting Malware for Classification and Analysis
Statistical Structures: Fingerprinting Malware for Classification and Analysis Daniel Bilar Wellesley College (Wellesley, MA) Colby College (Waterville, ME) bilar <at> alum dot dartmouth dot org Why Structural Fingerprinting? Goal: Identifying and classifying malware Problem: For any single fingerprint, balance between over-fitting (type II error) and under- fitting (type I error) hard to achieve Approach: View binaries simultaneously from different structural perspectives and perform statistical analysis on these ‘structural fingerprints’ Different Perspectives Idea: Multiple perspectives may increase likelihood of correct identification and classification Structural Description Statistical static / Perspective Fingerprint dynamic? Assembly Count different Opcode Primarily instruction instructions frequency static distribution Win 32 API Observe API calls API call vector Primarily call made dynamic System Explore graph- Graph structural Primarily Dependence modeled control and properties static Graph data dependencies Fingerprint: Opcode frequency distribution Synopsis: Statically disassemble the binary, tabulate the opcode frequencies and construct a statistical fingerprint with a subset of said opcodes. Goal: Compare opcode fingerprint across non- malicious software and malware classes for quick identification and classification purposes. Main result: ‘Rare’ opcodes explain more data variation then common ones Goodware: Opcode Distribution 1, 2 ---------.exe Procedure: -------.exe 1. Inventoried PEs (EXE, DLL, ---------.exe etc) on XP box with Advanced Disk Catalog 2. Chose random EXE samples size: 122880 with MS Excel and Index totalopcodes: 10680 3, 4 your Files compiler: MS Visual C++ 6.0 3. Ran IDA with modified class: utility (process) InstructionCounter plugin on sample PEs 0001. 002145 20.08% mov 4. Augmented IDA output files 0002. 001859 17.41% push with PEID results (compiler) 0003. 000760 7.12% call and general ‘functionality 0004. -
Botnets, Cybercrime, and Cyberterrorism: Vulnerabilities and Policy Issues for Congress
Order Code RL32114 Botnets, Cybercrime, and Cyberterrorism: Vulnerabilities and Policy Issues for Congress Updated January 29, 2008 Clay Wilson Specialist in Technology and National Security Foreign Affairs, Defense, and Trade Division Botnets, Cybercrime, and Cyberterrorism: Vulnerabilities and Policy Issues for Congress Summary Cybercrime is becoming more organized and established as a transnational business. High technology online skills are now available for rent to a variety of customers, possibly including nation states, or individuals and groups that could secretly represent terrorist groups. The increased use of automated attack tools by cybercriminals has overwhelmed some current methodologies used for tracking Internet cyberattacks, and vulnerabilities of the U.S. critical infrastructure, which are acknowledged openly in publications, could possibly attract cyberattacks to extort money, or damage the U.S. economy to affect national security. In April and May 2007, NATO and the United States sent computer security experts to Estonia to help that nation recover from cyberattacks directed against government computer systems, and to analyze the methods used and determine the source of the attacks.1 Some security experts suspect that political protestors may have rented the services of cybercriminals, possibly a large network of infected PCs, called a “botnet,” to help disrupt the computer systems of the Estonian government. DOD officials have also indicated that similar cyberattacks from individuals and countries targeting economic, -
A the Hacker
A The Hacker Madame Curie once said “En science, nous devons nous int´eresser aux choses, non aux personnes [In science, we should be interested in things, not in people].” Things, however, have since changed, and today we have to be interested not just in the facts of computer security and crime, but in the people who perpetrate these acts. Hence this discussion of hackers. Over the centuries, the term “hacker” has referred to various activities. We are familiar with usages such as “a carpenter hacking wood with an ax” and “a butcher hacking meat with a cleaver,” but it seems that the modern, computer-related form of this term originated in the many pranks and practi- cal jokes perpetrated by students at MIT in the 1960s. As an example of the many meanings assigned to this term, see [Schneier 04] which, among much other information, explains why Galileo was a hacker but Aristotle wasn’t. A hack is a person lacking talent or ability, as in a “hack writer.” Hack as a verb is used in contexts such as “hack the media,” “hack your brain,” and “hack your reputation.” Recently, it has also come to mean either a kludge, or the opposite of a kludge, as in a clever or elegant solution to a difficult problem. A hack also means a simple but often inelegant solution or technique. The following tentative definitions are quoted from the jargon file ([jargon 04], edited by Eric S. Raymond): 1. A person who enjoys exploring the details of programmable systems and how to stretch their capabilities, as opposed to most users, who prefer to learn only the minimum necessary. -
A Taxonomy of Computer Worms ∗
A Taxonomy of Computer Worms ∗ † ‡ § ¶ Nicholas Vern Stuart Robert Weaver Paxson Staniford Cunningham UC Berkeley ICSI Silicon Defense MIT Lincoln Laboratory ABSTRACT 1. INTRODUCTION To understand the threat posed by computer worms, it is A computer worm is a program that self-propagates across necessary to understand the classes of worms, the attackers a network exploiting security or policy flaws in widely-used who may employ them, and the potential payloads. This pa- services. They are not a new phenomenon, having first per describes a preliminary taxonomy based on worm target gained widespread notice in 1988 [16]. discovery and selection strategies, worm carrier mechanisms, We distinguish between worms and viruses in that the worm activation, possible payloads, and plausible attackers latter infect otherwise non-mobile files and therefore require who would employ a worm. some sort of user action to abet their propagation. As such, viruses tend to propagate more slowly. They also have more Categories and Subject Descriptors mature defenses due to the presence of a large anti-virus industry that actively seeks to identify and control their D.4.6 [Operating Systems]: Security and Protection—In- spread. vasive Software We note, however, that the line between worms and viruses is not all that sharp. In particular, the contagion worms General Terms discussed in Staniford et al [47] might be considered viruses Security by the definition we use here, though not of the traditional form, in that they do not need the user to activate them, but Keywords instead they hide their spread in otherwise unconnected user activity. Thus, for ease of exposition, and for scoping our computer worms, mobile malicious code, taxonomy, attack- analysis, we will loosen our definition somewhat and term ers, motivation malicious code such as contagion, for which user action is not central to activation, as a type of worm. -
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 -
GQ: Practical Containment for Measuring Modern Malware Systems
GQ: Practical Containment for Measuring Modern Malware Systems Christian Kreibich Nicholas Weaver Chris Kanich ICSI & UC Berkeley ICSI & UC Berkeley UC San Diego [email protected] [email protected] [email protected] Weidong Cui Vern Paxson Microsoft Research ICSI & UC Berkeley [email protected] [email protected] Abstract their behavior, sometimes only for seconds at a time (e.g., to un- Measurement and analysis of modern malware systems such as bot- derstand the bootstrapping behavior of a binary, perhaps in tandem nets relies crucially on execution of specimens in a setting that en- with static analysis), but potentially also for weeks on end (e.g., to ables them to communicate with other systems across the Internet. conduct long-term botnet measurement via “infiltration” [13]). Ethical, legal, and technical constraints however demand contain- This need to execute malware samples in a laboratory setting ex- ment of resulting network activity in order to prevent the malware poses a dilemma. On the one hand, unconstrained execution of the from harming others while still ensuring that it exhibits its inher- malware under study will likely enable it to operate fully as in- ent behavior. Current best practices in this space are sorely lack- tended, including embarking on a large array of possible malicious ing: measurement researchers often treat containment superficially, activities, such as pumping out spam, contributing to denial-of- sometimes ignoring it altogether. In this paper we present GQ, service floods, conducting click fraud, or obscuring other attacks a malware execution “farm” that uses explicit containment prim- by proxying malicious traffic. -
Flow-Level Traffic Analysis of the Blaster and Sobig Worm Outbreaks in an Internet Backbone
Flow-Level Traffic Analysis of the Blaster and Sobig Worm Outbreaks in an Internet Backbone Thomas Dübendorfer, Arno Wagner, Theus Hossmann, Bernhard Plattner ETH Zurich, Switzerland [email protected] DIMVA 2005, Wien, Austria Agenda 1) Introduction 2) Flow-Level Backbone Traffic 3) Network Worm Blaster.A 4) E-Mail Worm Sobig.F 5) Conclusions and Outlook © T. Dübendorfer (2005), TIK/CSG, ETH Zurich -2- 1) Introduction Authors Prof. Dr. Bernhard Plattner Professor, ETH Zurich (since 1988) Head of the Communication Systems Group at the Computer Engineering and Networks Laboratory TIK Prorector of education at ETH Zurich (since 2005) Thomas Dübendorfer Dipl. Informatik-Ing., ETH Zurich, Switzerland (2001) ISC2 CISSP (Certified Information System Security Professional) (2003) PhD student at TIK, ETH Zurich (since 2001) Network security research in the context of the DDoSVax project at ETH Further authors: Arno Wagner, Theus Hossmann © T. Dübendorfer (2005), TIK/CSG, ETH Zurich -3- 1) Introduction Worm Analysis Why analyse Internet worms? • basis for research and development of: • worm detection methods • effective countermeasures • understand network impact of worms Wasn‘t this already done by anti-virus software vendors? • Anti-virus software works with host-centric signatures Research method used 1. Execute worm code in an Internet-like testbed and observe infections 2. Measure packet-level traffic and determine network-centric worm signatures on flow-level 3. Extensive analysis of flow-level traffic of the actual worm outbreaks captured in a Swiss backbone © T. Dübendorfer (2005), TIK/CSG, ETH Zurich -4- 1) Introduction Related Work Internet backbone worm analyses: • Many theoretical worm spreading models and simulations exist (e.g. -
MODELING the PROPAGATION of WORMS in NETWORKS: a SURVEY 943 in Section 2, Which Set the Stage for Later Sections
942 IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 16, NO. 2, SECOND QUARTER 2014 Modeling the Propagation of Worms in Networks: ASurvey Yini Wang, Sheng Wen, Yang Xiang, Senior Member, IEEE, and Wanlei Zhou, Senior Member, IEEE, Abstract—There are the two common means for propagating attacks account for 1/4 of the total threats in 2009 and nearly worms: scanning vulnerable computers in the network and 1/5 of the total threats in 2010. In order to prevent worms from spreading through topological neighbors. Modeling the propa- spreading into a large scale, researchers focus on modeling gation of worms can help us understand how worms spread and devise effective defense strategies. However, most previous their propagation and then, on the basis of it, investigate the researches either focus on their proposed work or pay attention optimized countermeasures. Similar to the research of some to exploring detection and defense system. Few of them gives a nature disasters, like earthquake and tsunami, the modeling comprehensive analysis in modeling the propagation of worms can help us understand and characterize the key properties of which is helpful for developing defense mechanism against their spreading. In this field, it is mandatory to guarantee the worms’ spreading. This paper presents a survey and comparison of worms’ propagation models according to two different spread- accuracy of the modeling before the derived countermeasures ing methods of worms. We first identify worms characteristics can be considered credible. In recent years, although a variety through their spreading behavior, and then classify various of models and algorithms have been proposed for modeling target discover techniques employed by them. -
Strategies of Computer Worms
304543_ch09.qxd 1/7/05 9:05 AM Page 313 CHAPTER 9 Strategies of Computer Worms “Worm: n., A self-replicating program able to propagate itself across network, typically having a detrimental effect.” —Concise Oxford English Dictionary, Revised Tenth Edition 313 304543_ch09.qxd 1/7/05 9:05 AM Page 314 Chapter 9—Strategies of Computer Worms 9.1 Introduction This chapter discusses the generic (or at least “typical”) structure of advanced computer worms and the common strategies that computer worms use to invade new target systems. Computer worms primarily replicate on networks, but they represent a subclass of computer viruses. Interestingly enough, even in security research communities, many people imply that computer worms are dramatically different from computer viruses. In fact, even within CARO (Computer Antivirus Researchers Organization), researchers do not share a common view about what exactly can be classified as a “worm.” We wish to share a common view, but well, at least a few of us agree that all computer worms are ultimately viruses1. Let me explain. The network-oriented infection strategy is indeed a primary difference between viruses and computer worms. Moreover, worms usually do not need to infect files but propagate as standalone programs. Additionally, several worms can take con- trol of remote systems without any help from the users, usually exploiting a vul- nerability or set of vulnerabilities. These usual characteristics of computer worms, however, do not always hold. Table 9.1 shows several well-known threats. Table -
The Blaster Worm: Then and Now
Worms The Blaster Worm: Then and Now The Blaster worm of 2003 infected at least 100,000 Microsoft Windows systems and cost millions in damage. In spite of cleanup efforts, an antiworm, and a removal tool from Microsoft, the worm persists. Observing the worm’s activity can provide insight into the evolution of Internet worms. MICHAEL n Wednesday, 16 July 2003, Microsoft and continued to BAILEY, EVAN Security Bulletin MS03-026 (www. infect new hosts COOKE, microsoft.com/security/incident/blast.mspx) more than a year later. By using a wide area network- FARNAM O announced a buffer overrun in the Windows monitoring technique that observes worm infection at- JAHANIAN, AND Remote Procedure Call (RPC) interface that could let tempts, we collected observations of the Blaster worm DAVID WATSON attackers execute arbitrary code. The flaw, which the during its onset in August 2003 and again in August 2004. University of Last Stage of Delirium (LSD) security group initially This let us study worm evolution and provides an excel- Michigan uncovered (http://lsd-pl.net/special.html), affected lent illustration of a worm’s four-phase life cycle, lending many Windows operating system versions, including insight into its latency, growth, decay, and persistence. JOSE NAZARIO NT 4.0, 2000, and XP. Arbor When the vulnerability was disclosed, no known How the Blaster worm attacks Networks public exploit existed, and Microsoft made a patch avail- The initial Blaster variant’s decompiled source code re- able through their Web site. The CERT Coordination veals its unique behavior (http://robertgraham.com/ Center and other security organizations issued advisories journal/030815-blaster.c). -
Common Threats to Cyber Security Part 1 of 2
Common Threats to Cyber Security Part 1 of 2 Table of Contents Malware .......................................................................................................................................... 2 Viruses ............................................................................................................................................. 3 Worms ............................................................................................................................................. 4 Downloaders ................................................................................................................................... 6 Attack Scripts .................................................................................................................................. 8 Botnet ........................................................................................................................................... 10 IRCBotnet Example ....................................................................................................................... 12 Trojans (Backdoor) ........................................................................................................................ 14 Denial of Service ........................................................................................................................... 18 Rootkits ......................................................................................................................................... 20 Notices ......................................................................................................................................... -
Compromised by Design? Securing the Defense Electronics Supply Chain
Compromised By Design? Securing the Defense Electronics Supply Chain John Villasenor November 2013 Executive Summary Electronic “chips” are found everywhere—not just in critical defense systems, but John Villasenor is a also in the broader infrastructure for power, finance, communications, and nonresident senior fellow transportation. All of these systems function effectively only when the electronic in Governance Studies circuits at their heart can be trusted to operate as intended. and the Center for Technology Innovation at Brookings. He is also a Unfortunately, ensuring trust has become much more difficult in recent years. professor of electrical Concern over the growth of counterfeit electronics (parts that have been harvested from discarded systems, relabeled, and sold as new to unsuspecting buyers) has engineering and public 1 policy at UCLA. grown in recent years. These parts can fail prematurely, with potentially disastrous consequences. Thanks to recent congressional attention, improved detection methods, and heightened screening requirements for parts destined for defense systems, however, the threat of counterfeits is being actively addressed. Yet the supply chain is almost completely unprotected against a threat that may turn out to be more significant in the long term: Chips could be intentionally compromised during the design process, before they are even manufactured. If placed into the design with sufficient skill, these built-in vulnerabilities would be extremely difficult to detect during testing. And, they could be exploited months or years later to disrupt—or exfiltrate data from—a system containing the compromised chip. As chips have gotten more complex and design teams have grown larger and more globalized, the opportunities to insert hidden malicious functionality have increased.