Strategies of Computer Worms
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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. -
The Downadup Codex a Comprehensive Guide to the Threat’S Mechanics
Security Response The Downadup Codex A comprehensive guide to the threat’s mechanics. Edition 2.0 Introduction Contents Introduction.............................................................1 Since its appearance in late-2008, the Downadup worm has become Editor’s Note............................................................5 one of the most wide-spread threats to hit the Internet for a number of Increase in exploit attempts against MS08-067.....6 years. A complex piece of malicious code, this threat was able to jump W32.Downadup infection statistics.........................8 certain network hurdles, hide in the shadows of network traffic, and New variants of W32.Downadup.B find new ways to propagate.........................................10 defend itself against attack with a deftness not often seen in today’s W32.Downadup and W32.Downadup.B threat landscape. Yet it contained few previously unseen features. What statistics................................................................12 set it apart was the sheer number of tricks it held up its sleeve. Peer-to-peer payload distribution...........................15 Geo-location, fingerprinting, and piracy...............17 It all started in late-October of 2008, we began to receive reports of A lock with no key..................................................19 Small improvements yield big returns..................21 targeted attacks taking advantage of an as-yet unknown vulnerability Attempts at smart network scanning...................23 in Window’s remote procedure call (RPC) service. Microsoft quickly Playing with Universal Plug and Play...................24 released an out-of-band security patch (MS08-067), going so far as to Locking itself out.................................................27 classify the update as “critical” for some operating systems—the high- A new Downadup variant?......................................29 Advanced crypto protection.................................30 est designation for a Microsoft Security Bulletin. -
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. -
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 -
Exploring Corporate Decision Makers' Attitudes Towards Active Cyber
Protecting the Information Society: Exploring Corporate Decision Makers’ Attitudes towards Active Cyber Defence as an Online Deterrence Option by Patrick Neal A Dissertation Submitted to the College of Interdisciplinary Studies in Partial Fulfilment of the Requirements for the Degree of DOCTOR OF SOCIAL SCIENCES Royal Roads University Victoria, British Columbia, Canada Supervisor: Dr. Bernard Schissel February, 2019 Patrick Neal, 2019 COMMITTEE APPROVAL The members of Patrick Neal’s Dissertation Committee certify that they have read the dissertation titled Protecting the Information Society: Exploring Corporate Decision Makers’ Attitudes towards Active Cyber Defence as an Online Deterrence Option and recommend that it be accepted as fulfilling the dissertation requirements for the Degree of Doctor of Social Sciences: Dr. Bernard Schissel [signature on file] Dr. Joe Ilsever [signature on file] Ms. Bessie Pang [signature on file] Final approval and acceptance of this dissertation is contingent upon the candidate’s submission of the final copy of the dissertation to Royal Roads University. The dissertation supervisor confirms to have read this dissertation and recommends that it be accepted as fulfilling the dissertation requirements: Dr. Bernard Schissel[signature on file] Creative Commons Statement This work is licensed under the Creative Commons Attribution-NonCommercial- ShareAlike 2.5 Canada License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/ca/ . Some material in this work is not being made available under the terms of this licence: • Third-Party material that is being used under fair dealing or with permission. • Any photographs where individuals are easily identifiable. Contents Creative Commons Statement............................................................................................ -
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 -
CONTENTS in THIS ISSUE Fighting Malware and Spam
MARCH 2008 Fighting malware and spam CONTENTS IN THIS ISSUE 2 COMMENT EVASIVE ACTION Home (page) renovations Pandex has attracted very little attention from the media and generated little 3 NEWS discussion between malware Botherders herded researchers and among the 29A folds general populace. Chandra Prakash and Adam Thomas provide an overview of the Pandex operation and take an in-depth look at VIRUS PREVALENCE TABLE 3 the underlying code that has allowed this malware to evade detection for so long. 4 MALWARE ANALYSIS page 4 Pandex: the botnet that could PACKING A PUNCH In the fi nal part of the series on exepacker 9 FEATURE blacklisting, Robert Neumann takes a look at how all the processing and analysis techniques are put Exepacker blacklisting part 3 into practice in a real-life situation. page 9 15 CONFERENCE REPORT AVG TURNS 8 Black Hat DC and CCC 24C3 John Hawes gets his hands on a preview version of the latest offering from AVG. 18 PRODUCT REVIEW page 18 AVG Internet Security 8 22 END NOTES & NEWS This month: anti-spam news and events, and Ken Simpson considers the implications of rising spam volume despite increasing accuracy of content fi lters. ISSN 1749-7027 COMMENT ‘It is hoped that within all sizes of business. It is hoped that the comment facility will promote discussion among visitors and that the comment facility in some cases the more knowledgeable of VB’s readers will promote will be able to guide and assist those less well versed in discussion among the complexities of anti-malware technologies. -
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. -
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