Protection of Smartphone, Personal Computer and Other Similar Devices from Virus Infections
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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. -
Symantec Report on Rogue Security Software July 08 – June 09
REPORT: SYMANTEC ENTERPRISE SECURITY SYMANTEC REPORT: Symantec Report on Rogue Security Software July 08 – June 09 Published October 2009 Confidence in a connected world. White Paper: Symantec Enterprise Security Symantec Report on Rogue Security Software July 08 – June 09 Contents Introduction . 1 Overview of Rogue Security Software. 2 Risks . 4 Advertising methods . 7 Installation techniques . 9 Legal actions and noteworthy scam convictions . 14 Prevalence of Rogue Security Software . 17 Top reported rogue security software. 17 Additional noteworthy rogue security software samples . 25 Top rogue security software by region . 28 Top rogue security software installation methods . 29 Top rogue security software advertising methods . 30 Analysis of Rogue Security Software Distribution . 32 Analysis of Rogue Security Software Servers . 36 Appendix A: Protection and Mitigation. 45 Appendix B: Methodologies. 48 Credits . 50 Symantec Report on Rogue Security Software July 08 – June 09 Introduction The Symantec Report on Rogue Security Software is an in-depth analysis of rogue security software programs. This includes an overview of how these programs work and how they affect users, including their risk implications, various distribution methods, and innovative attack vectors. It includes a brief discussion of some of the more noteworthy scams, as well as an analysis of the prevalence of rogue security software globally. It also includes a discussion on a number of servers that Symantec observed hosting these misleading applications. Except where otherwise noted, the period of observation for this report was from July 1, 2008, to June 30, 2009. Symantec has established some of the most comprehensive sources of Internet threat data in the world through the Symantec™ Global Intelligence Network. -
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. -
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. -
Bibliography
Bibliography [1] M Aamir Ali, B Arief, M Emms, A van Moorsel, “Does the Online Card Payment Landscape Unwittingly Facilitate Fraud?” IEEE Security & Pri- vacy Magazine (2017) [2] M Abadi, RM Needham, “Prudent Engineering Practice for Cryptographic Protocols”, IEEE Transactions on Software Engineering v 22 no 1 (Jan 96) pp 6–15; also as DEC SRC Research Report no 125 (June 1 1994) [3] A Abbasi, HC Chen, “Visualizing Authorship for Identification”, in ISI 2006, LNCS 3975 pp 60–71 [4] H Abelson, RJ Anderson, SM Bellovin, J Benaloh, M Blaze, W Diffie, J Gilmore, PG Neumann, RL Rivest, JI Schiller, B Schneier, “The Risks of Key Recovery, Key Escrow, and Trusted Third-Party Encryption”, in World Wide Web Journal v 2 no 3 (Summer 1997) pp 241–257 [5] H Abelson, RJ Anderson, SM Bellovin, J Benaloh, M Blaze, W Diffie, J Gilmore, M Green, PG Neumann, RL Rivest, JI Schiller, B Schneier, M Specter, D Weizmann, “Keys Under Doormats: Mandating insecurity by requiring government access to all data and communications”, MIT CSAIL Tech Report 2015-026 (July 6, 2015); abridged version in Communications of the ACM v 58 no 10 (Oct 2015) [6] M Abrahms, “What Terrorists Really Want”,International Security v 32 no 4 (2008) pp 78–105 [7] M Abrahms, J Weiss, “Malicious Control System Cyber Security Attack Case Study – Maroochy Water Services, Australia”, ACSAC 2008 [8] A Abulafia, S Brown, S Abramovich-Bar, “A Fraudulent Case Involving Novel Ink Eradication Methods”, in Journal of Forensic Sciences v41(1996) pp 300-302 [9] DG Abraham, GM Dolan, GP Double, JV Stevens, -
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 -
Bots and Botnets: Risks, Issues and Prevention
EMEA MSSD The Journey, So Far: Trends, Graphs and Statistics Martin Overton, IBM UK 20th September 2007 | Author: Martin Overton © 2007 IBM Corporation EMEA MSSD Agenda . The ‘First’ IBM PC Virus . Statistics, 80’s . Statistics, 90’s . Statistics, 00’s . Malware Myth-busting . Putting it all Together . Conclusions . Questions The Journey, So Far: Trends, Graphs and Statistics | Martin Overton © 2007 IBM Corporation EMEA MSSD Disclaimer . Products or services mentioned in this presentation are included for information only. Products and/or services listed, mentioned or referenced in any way do not constitute any form of recommendation or endorsement by IBM or the presenter. All trademarks and copyrights are acknowledged. The Journey, So Far: Trends, Graphs and Statistics | Martin Overton © 2007 IBM Corporation EMEA MSSD Brain . The very first malware written for the IBM PC [and clones] used ‘stealth’ to hide its presence[1]: . Here is a short extract from the description of Brain from F-Secure explaining how the stealth function it used works: . “The Brain virus tries to hide from detection by hooking into INT 13. When an attempt is made to read an infected boot sector, Brain will just show you the original boot sector instead. This means that if you look at the boot sector using DEBUG or any similar program, everything will look normal, if the virus is active in memory. This means the virus is the first "stealth" virus as well.” [1] Source : http://www.research.ibm.com/antivirus/timeline.htm [2] More data can be found here : http://www.f-secure.com/v-descs/brain.shtml -
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. -
Bibliography
Bibliography [1] M Aamir Ali, B Arief, M Emms, A van Moorsel, “Does the Online Card Payment Landscape Unwittingly Facilitate Fraud?” IEEE Security & Pri- vacy Magazine (2017) [2] M Abadi, RM Needham, “Prudent Engineering Practice for Cryptographic Protocols”, IEEE Transactions on Software Engineering v 22 no 1 (Jan 96) pp 6–15; also as DEC SRC Research Report no 125 (June 1 1994) [3] A Abbasi, HC Chen, “Visualizing Authorship for Identification”, in ISI 2006, LNCS 3975 pp 60–71 [4] H Abelson, RJ Anderson, SM Bellovin, J Benaloh, M Blaze, W Diffie, J Gilmore, PG Neumann, RL Rivest, JI Schiller, B Schneier, “The Risks of Key Recovery, Key Escrow, and Trusted Third-Party Encryption”, in World Wide Web Journal v 2 no 3 (Summer 1997) pp 241–257 [5] H Abelson, RJ Anderson, SM Bellovin, J Benaloh, M Blaze, W Diffie, J Gilmore, M Green, PG Neumann, RL Rivest, JI Schiller, B Schneier, M Specter, D Weizmann, “Keys Under Doormats: Mandating insecurity by requiring government access to all data and communications”, MIT CSAIL Tech Report 2015-026 (July 6, 2015); abridged version in Communications of the ACM v 58 no 10 (Oct 2015) [6] M Abrahms, “What Terrorists Really Want”,International Security v 32 no 4 (2008) pp 78–105 [7] M Abrahms, J Weiss, “Malicious Control System Cyber Security Attack Case Study – Maroochy Water Services, Australia”, ACSAC 2008 [8] A Abulafia, S Brown, S Abramovich-Bar, “A Fraudulent Case Involving Novel Ink Eradication Methods”, in Journal of Forensic Sciences v41(1996) pp 300-302 [9] DG Abraham, GM Dolan, GP Double, JV Stevens, -
Malware to Crimeware
I have surveyed over a decade of advances in delivery of malware. Over this daVid dittRich period, attackers have shifted to using complex, multi-phase attacks based on malware to crimeware: subtle social engineering tactics, advanced how far have they cryptographic techniques to defeat takeover gone, and how do and analysis, and highly targeted attacks we catch up? that are intended to fly below the radar of current technical defenses. I will show how Dave Dittrich is an affiliate information malicious technology combined with social security researcher in the University of manipulation is used against us and con- Washington’s Applied Physics Laboratory. He focuses on advanced malware threats and clude that this understanding might even the ethical and legal framework for respond- ing to computer network attacks. help us design our own combination of [email protected] technical and social mechanisms to better protect us. And ye shall know the truth, and the truth shall make you free. The late 1990s saw the advent of distributed and John 8:32 coordinated computer network attack tools, which were primarily used for the electronic equivalent of fist fighting in the streets. It only took a few years for criminal activity—extortion, click fraud, denial of service for competitive advantage—to appear, followed by mass theft of personal and financial data through quieter, yet still widespread and auto- mated, keystroke logging. Despite what law-abid- ing citizens would desire, crime does pay, and pay well. Today, the financial gain from criminal enter- prise allows investment of large sums of money in developing tools and operational capabilities that are increasingly sophisticated and highly targeted. -
Effective Malicious Features Extraction and Classification for Incident Handling Systems
EFFECTIVE MALICIOUS FEATURES EXTRACTION AND CLASSIFICATION FOR INCIDENT HANDLING SYSTEMS CHO CHO SAN UNIVERSITY OF COMPUTER STUDIES, YANGON OCTOBER, 2019 Effective Malicious Features Extraction and Classification for Incident Handling Systems Cho Cho San University of Computer Studies, Yangon A thesis submitted to the University of Computer Studies, Yangon in partial fulfillment of the requirements for the degree of Doctor of Philosophy October, 2019 Statement of Originality I hereby certify that the work embodied in this thesis is the result of original research and has not been submitted for a higher degree to any other University or Institution. …..…………………………… .…………........………………………… Date Cho Cho San ACKNOWLEDGEMENTS First of all, I would like to thank Hist Excellency, the Minister for the Ministry of Education, for providing full facilities support during the Ph.D. course at the University of Computer Studies, Yangon. Secondly, my profound gratitude goes to Dr. Mie Mie Thet Thwin, Rector of the University of Computer Studies, Yangon, for allowing me to develop this research and giving me general guidance during the period of my study. I would like to express my greatest pleasure and the deepest appreciation to my supervisor, Dr. Mie Mie Su Thwin, Professor, the University of Computer Studies, Yangon, for her excellent guidance, caring, patient supervision, and providing me with excellent ideas throughout the study of this thesis. I would also like to extend my special appreciation to Dr. Khine Moe Nwe, Professor and Course-coordinator of the Ph.D. 9th Batch, the University of Computer Studies, Yangon, for her useful comments, advice, and insight which are invaluable through the process of researching and writing this dissertation.