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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. -
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 ......................................................................................................................................... -
Computer Viruses, in Order to Detect Them
Behaviour-based Virus Analysis and Detection PhD Thesis Sulaiman Amro Al amro This thesis is submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy Software Technology Research Laboratory Faculty of Technology De Montfort University May 2013 DEDICATION To my beloved parents This thesis is dedicated to my Father who has been my supportive, motivated, inspired guide throughout my life, and who has spent every minute of his life teaching and guiding me and my brothers and sisters how to live and be successful. To my Mother for her support and endless love, daily prayers, and for her encouragement and everything she has sacrificed for us. To my Sisters and Brothers for their support, prayers and encouragements throughout my entire life. To my beloved Family, My Wife for her support and patience throughout my PhD, and my little boy Amro who has changed my life and relieves my tiredness and stress every single day. I | P a g e ABSTRACT Every day, the growing number of viruses causes major damage to computer systems, which many antivirus products have been developed to protect. Regrettably, existing antivirus products do not provide a full solution to the problems associated with viruses. One of the main reasons for this is that these products typically use signature-based detection, so that the rapid growth in the number of viruses means that many signatures have to be added to their signature databases each day. These signatures then have to be stored in the computer system, where they consume increasing memory space. Moreover, the large database will also affect the speed of searching for signatures, and, hence, affect the performance of the system. -
Containing Conficker to Tame a Malware
#5###4#(#%#5#6#%#5#&###,#'#(#7#5#+###9##:65#,-;/< Know Your Enemy: Containing Conficker To Tame A Malware The Honeynet Project http://honeynet.org Felix Leder, Tillmann Werner Last Modified: 30th March 2009 (rev1) The Conficker worm has infected several million computers since it first started spreading in late 2008 but attempts to mitigate Conficker have not yet proved very successful. In this paper we present several potential methods to repel Conficker. The approaches presented take advantage of the way Conficker patches infected systems, which can be used to remotely detect a compromised system. Furthermore, we demonstrate various methods to detect and remove Conficker locally and a potential vaccination tool is presented. Finally, the domain name generation mechanism for all three Conficker variants is discussed in detail and an overview of the potential for upcoming domain collisions in version .C is provided. Tools for all the ideas presented here are freely available for download from [9], including source code. !"#$%&'()*+&$(% The big years of wide-area network spreading worms were 2003 and 2004, the years of Blaster [1] and Sasser [2]. About four years later, in late 2008, we witnessed a similar worm that exploits the MS08-067 server service vulnerability in Windows [3]: Conficker. Like its forerunners, Conficker exploits a stack corruption vulnerability to introduce and execute shellcode on affected Windows systems, download a copy of itself, infect the host and continue spreading. SRI has published an excellent and detailed analysis of the malware [4]. The scope of this paper is different: we propose ideas on how to identify, mitigate and remove Conficker bots. -
Ethical Hacking
Official Certified Ethical Hacker Review Guide Steven DeFino Intense School, Senior Security Instructor and Consultant Contributing Authors Barry Kaufman, Director of Intense School Nick Valenteen, Intense School, Senior Security Instructor Larry Greenblatt, Intense School, Senior Security Instructor Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States Official Certified Ethical Hacker © 2010 Course Technology, Cengage Learning Review Guide ALL RIGHTS RESERVED. No part of this work covered by the copyright herein Steven DeFino may be reproduced, transmitted, stored or used in any form or by any means Barry Kaufman graphic, electronic, or mechanical, including but not limited to photocopying, Nick Valenteen recording, scanning, digitizing, taping, Web distribution, information networks, Larry Greenblatt or information storage and retrieval systems, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior Vice President, Career and written permission of the publisher. Professional Editorial: Dave Garza Executive Editor: Stephen Helba For product information and technology assistance, contact us at Managing Editor: Marah Bellegarde Cengage Learning Customer & Sales Support, 1-800-354-9706 For permission to use material from this text or product, Senior Product Manager: submit all requests online at www.cengage.com/permissions Michelle Ruelos Cannistraci Further permissions questions can be e-mailed to Editorial Assistant: Meghan Orvis [email protected] -
(IN)SECURE Magazine Contacts
It’s February and the perfect time for another issue of (IN)SECURE. This time around we bring you the opinions of some of the most important people in the anti-malware industry, a fresh outlook on social engineering, fraud mitigation, security visualization, insider threat and much more. We’ll be attending InfosecWorld in Orlando, Black Hat in Amsterdam and the RSA Conference in San Francisco. In case you want to show us your products or just grab a drink do get in touch. Expect coverage from these events in the April issue. I’m happy to report that since issue 14 was released we’ve had many new subscribers and that clearly means that we’re headed in the right direction. We’re always on the lookout for new material so if you’d like to present yourself to a large audience drop me an e-mail. Mirko Zorz Chief Editor Visit the magazine website at www.insecuremag.com (IN)SECURE Magazine contacts Feedback and contributions: Mirko Zorz, Chief Editor - [email protected] Marketing: Berislav Kucan, Director of Marketing - [email protected] Distribution (IN)SECURE Magazine can be freely distributed in the form of the original, non modified PDF document. Distribution of modified versions of (IN)SECURE Magazine content is prohibited without the explicit permission from the editor. Copyright HNS Consulting Ltd. 2008. www.insecuremag.com Qualys releases QualysGuard PCI 2.0 Qualys announced the availability of QualysGuard PCI 2.0, the second generation of its On Demand PCI Platform. It dramatically streamlines the PCI compliance process and adds new capabilities for large corporations to facilitate PCI compliance on a global scale. -
Contents in This Issue
NOVEMBER 2005 The International Publication on Computer Virus Prevention, Recognition and Removal CONTENTS IN THIS ISSUE 2 COMMENT Virus Bulletin WHEN IRISH EYES ARE thanks the sponsors Is the boot on the other foot? SMILING of VB2005: A busy conference schedule, 3 NEWS combined with the famous warmth Microsoft assists Nigeria in fight against and hospitality of the Irish and a high-tech crime drop or two of the local ‘water’ were Errata – Windows 2003 Server a recipe for success for VB2005 in comparative review Dublin last month. page 14 3 VIRUS PREVALENCE TABLE LANGUAGE LOGGING 4 VIRUS ANALYSIS Using components of Windows multilingual Criss-cross support, it is possible to create a file that will capture keystrokes on a target system while using FEATURES the OS to protect that file from removal or deletion. Masaki Suenaga explains how an IME could be 6 IME as a possible keylogger used as a keylogger. 11 The false positive disaster: anti-virus vs. page 6 WinRar & co. THE TROUBLE WITH WINRAR 13 LETTERS Andreas Marx reports on his extensive false positive testing of anti-virus software. 14 CONFERENCE REPORT page 11 In Dublin’s fair city 16 PRODUCT REVIEW NOD32 for Windows NT/2000/XP/2003/x64 with centralized management This month: anti-spam news and events and 20 END NOTES & NEWS John Graham-Cumming looks at measuring and marketing spam filter accuracy. ISSN 0956-9979 COMMENT ‘It adds insult to the voices of those of us on the systems administrators’ side, which was equal in its representation on the panel.) injury when the So, putting aside the reporting of the subject, I’d like to major media outlets touch again on why accurate reporting is an issue for misrepresent the those of us on the administration side. -
THE CONFICKER MYSTERY Mikko Hypponen Chief Research Officer F-Secure Corporation Network Worms Were Supposed to Be Dead. Turns O
THE CONFICKER MYSTERY Mikko Hypponen Chief Research Officer F-Secure Corporation Network worms were supposed to be dead. Turns out they aren't. In 2009 we saw the largest outbreak in years: The Conficker aka Downadup worm, infecting Windows workstations and servers around the world. This worm infected several million computers worldwide - most of them in corporate networks. Overnight, it became as large an infection as the historical outbreaks of worms such as the Loveletter, Melissa, Blaster or Sasser. Conficker is clever. In fact, it uses several new techniques that have never been seen before. One of these techniques is using Windows ACLs to make disinfection hard or impossible. Another is infecting USB drives with a technique that works *even* if you have USB Autorun disabled. Yet another is using Windows domain rights to create a remote jobs to infect machines over corporate networks. Possibly to most clever part is the communication structure Conficker uses. It has an algorithm to create a unique list of 250 random domain names every day. By precalcuting one of these domain names and registering it, the gang behind Conficker could take over any or all of the millions of computers they had infected. Case Conficker The sustained growth of malicious software (malware) during the last few years has been driven by crime. Theft – whether it is of personal information or of computing resources – is obviously more successful when it is silent and therefore the majority of today's computer threats are designed to be stealthy. Network worms are relatively "noisy" in comparison to other threats, and they consume considerable amounts of bandwidth and other networking resources. -
Modeling of Computer Virus Spread and Its Application to Defense
University of Aizu, Graduation Thesis. March, 2005 s1090109 1 Modeling of Computer Virus Spread and Its Application to Defense Jun Shitozawa s1090109 Supervised by Hiroshi Toyoizumi Abstract 2 Two Systems The purpose of this paper is to model a computer virus 2.1 Content Filtering spread and evaluate content filtering and IP address blacklisting with a key parameter of the reaction time R. Content filtering is a containment system that has a We model the Sasser worm by using the Pure Birth pro- database of content signatures known to represent par- cess in this paper. Although our results require a short ticular worms. Packets containing one of these signa- reaction time, this paper is useful to obviate the outbreak tures are dropped when a containment system member of the new worms having high reproduction rate λ. receives the packets. This containment system is able to stop computer worm outbreaks immediately when the systems obtain information of content signatures. How- 1 Introduction ever, it takes too much time to create content signatures, and this system has no effect on polymorphic worms In recent years, new computer worms are being created at a rapid pace with around 5 new computer worms per a [10]. A polymorphic worm is one whose code is trans- day. Furthermore, the speed at which the new computer formed regularly, so no single signature identifies it. worms spread is amazing. For example, Symantec [5] 2.2 The IP Address Blacklisting received 12041 notifications of an infection by Sasser.B in 7 days. IP address blacklisting is a containment system that has Computer worms are a kind of computer virus. -
Contents in This Issue
FEBRUARY 2004 The International Publication on Computer Virus Prevention, Recognition and Removal CONTENTS IN THIS ISSUE 2 COMMENT A NEW TREND IN Are your networks secure? VIRUS WRITING? Following in the footsteps 3 NEWS of W32/Bugbear.A, VB2004 call for papers W32/Mimail.I and .J took Divine intervention the concern of identity theft Waiting, reflecting and removing to another level, producing a plausible-looking popup and web page and asking questions that are favoured security checks of many 3 VIRUS PREVALENCE TABLE banks. Stuart Taylor asks: is there a criminal element entering virus writing? 4 FEATURE page 11 Outbreak response times: putting AV to the test TESTING TIMES It’s not just a product’s ability to detect malware 7 TUTORIAL that is of vital importance to the user, but the speed Mission impossible: the Messenger with which the developer produces an update in and others outbreak situations. Andreas Marx puts AV response times to the test. 11 OPINION page 4 Misguided or malevolent? New trends in virus writing COMPARATIVE REVIEW Matt Ham lines up the AV products for 12 COMPARATIVE REVIEW Windows NT. page 12 Windows NT 4.0 20 END NOTES & NEWS This month: Anti-spam news and events, Habeas delivering the goods, ASRG summary. ISSN 0956-9979 COMMENT ‘Until now, most who are not located in the same office, who may be travelling on business or may be working from home. business use of Managers from any location can respond to instant instant messaging messages with quick decisions. Presence-awareness allows each user to see the online status and availability has been of the of other colleagues on the system. -
[Recognising Botnets in Organisations] Barry Weymes Number
[Recognising Botnets in Organisations] Barry Weymes Number: 662 A thesis submitted to the faculty of Computer Science, Radboud University in partial fulfillment of the requirements for the degree of Master of Science Eric Verheul, Chair Erik Poll Sander Peters (Fox-IT) Department of Computer Science Radboud University August 2012 Copyright © 2012 Barry Weymes Number: 662 All Rights Reserved ABSTRACT [Recognising Botnets in Organisations] Barry WeymesNumber: 662 Department of Computer Science Master of Science Dealing with the raise in botnets is fast becoming one of the major problems in IT. Their adaptable and dangerous nature makes detecting them difficult, if not impossible. In this thesis, we present how botnets function, how they are utilised and most importantly, how to limit their impact. DNS Dynamic Reputations Systems, among others, are an innovative new way to deal with this threat. By indexing individual DNS requests and responses together we can provide a fuller picture of what computer systems on a network are doing and can easily provide information about botnets within the organisation. The expertise and knowledge presented here comes from the IT security firm Fox-IT in Delft, the Netherlands. The author works full time as a security analyst there, and this rich environment of information in the field of IT security provides a deep insight into the current botnet environment. Keywords: [Botnets, Organisations, DNS, Honeypot, IDS] ACKNOWLEDGMENTS • I would like to thank my parents, whom made my time in the Netherlands possible. They paid my tuition, and giving me the privilege to follow my ambition of getting a Masters degree. • My dear friend Dave, always gets a mention in my thesis for asking the questions other dont ask. -
Progress Made, Trends Observed a White Paper from the Microsoft Antimalware Team Msrwindows Malicious Software Removalt Tool
Progress Made, Trends Observed A White Paper from the Microsoft Antimalware Team MSRWindows Malicious Software RemovalT Tool Matthew Braverman Program Manager Microsoft Antimalware Team Acknowledgements I would like to thank the following individuals for their contribution to this paper: Mike Chan, Brendan Foley, Jason Garms, Robert Hensing, Ziv Mador, Mady Marinescu, Michael Mitchell, Adam Overton, Matt Thomlinson, and Jeff Williams The information contained in this document represents the current view of Microsoft Corporation on the issues discussed as of the date of publication. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. This White Paper is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS DOCUMENT. Complying with all applicable copyright laws is the responsibility of the user. Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photo- copying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation. Microsoft may have patents, patent applications, trademarks, copyrights, or other intellectual property rights covering subject matter in this document. Except as expressly provided in any written license agreement from Microsoft, the furnishing of this document does not give you any license to these patents, trademarks, copyrights, or other intellectual property. Copyright © 2006 Microsoft Corporation. All rights reserved.