A Foray Into Conficker's Logic and Rendezvous Points
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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. -
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. -
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 -
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. -
Iptrust Botnet / Malware Dictionary This List Shows the Most Common Botnet and Malware Variants Tracked by Iptrust
ipTrust Botnet / Malware Dictionary This list shows the most common botnet and malware variants tracked by ipTrust. This is not intended to be an exhaustive list, since new threat intelligence is always being added into our global Reputation Engine. NAME DESCRIPTION Conficker A/B Conficker A/B is a downloader worm that is used to propagate additional malware. The original malware it was after was rogue AV - but the army's current focus is undefined. At this point it has no other purpose but to spread. Propagation methods include a Microsoft server service vulnerability (MS08-067) - weakly protected network shares - and removable devices like USB keys. Once on a machine, it will attach itself to current processes such as explorer.exe and search for other vulnerable machines across the network. Using a list of passwords and actively searching for legitimate usernames - the ... Mariposa Mariposa was first observed in May 2009 as an emerging botnet. Since then it has infected an ever- growing number of systems; currently, in the millions. Mariposa works by installing itself in a hidden location on the compromised system and injecting code into the critical process ͞ĞdžƉůŽƌĞƌ͘ĞdžĞ͘͟/ƚŝƐknown to affect all modern Windows versions, editing the registry to allow it to automatically start upon login. Additionally, there is a guard that prevents deletion while running, and it automatically restarts upon crash/restart of explorer.exe. In essence, Mariposa opens a backdoor on the compromised computer, which grants full shell access to ... Unknown A botnet is designated 'unknown' when it is first being tracked, or before it is given a publicly- known common name. -
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 ......................................................................................................................................... -
Download Slides
Scott Wu Point in time cleaning vs. RTP MSRT vs. Microsoft Security Essentials Threat events & impacts More on MSRT / Security Essentials MSRT Microsoft Windows Malicious Software Removal Tool Deployed to Windows Update, etc. monthly since 2005 On-demand scan on prevalent malware Microsoft Security Essentials Full AV RTP Inception in Oct 2009 RTP is the solution One-off cleaner has its role Quiikck response Workaround Baseline ecosystem cleaning Industrypy response & collaboration Threat Events Worms (some are bots) have longer lifespans Rogues move on quicker MarMar 2010 2010 Apr Apr 2010 2010 May May 2010 2010 Jun Jun 2010 2010 Jul Jul 2010 2010 Aug Aug 2010 2010 1,237,15 FrethogFrethog 979,427 979,427 Frethog Frethog 880,246880,246 Frethog Frethog465,351 TaterfTaterf 5 1,237,155Taterf Taterf 797,935797,935 TaterfTaterf 451,561451,561 TaterfTaterf 497,582 497,582 Taterf Taterf 393,729393,729 Taterf Taterf447,849 FrethogFrethog 535,627535,627 AlureonAlureon 493,150 493,150 AlureonAlureon 436,566 436,566 RimecudRimecud 371,646 371,646 Alureon Alureon 308,673308,673 Alureon Alureon 441,722 RimecudRimecud 341,778341,778 FrethogFrethog 473,996473,996 BubnixBubnix 348,120 348,120 HamweqHamweq 289,603 289,603 Rimecud Rimecud289,629 289,629 Rimecud Rimecud318,041 AlureonAlureon 292,810 292,810 BubnixBubnix 471,243 471,243 RimecudRimecud 287,942287,942 ConfickerConficker 286,091286, 091 Hamwe Hamweqq 250,286250, 286 Conficker Conficker220,475220, 475 ConfickerConficker 237237,348, 348 RimecudRimecud 280280,440, 440 VobfusVobfus 251251,335, 335 -
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] -
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. -
[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.