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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, -
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 -
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. -
Workaround for Welchia and Sasser Internet Worms in Kumamoto University
Workaround for Welchia and Sasser Internet Worms in Kumamoto University Yasuo Musashi, Kenichi Sugitani,y and Ryuichi Matsuba,y Center for Multimedia and Information Technologies, Kumamoto University, Kumamoto 860-8555 Japan, E-mail: [email protected], yE-mail: [email protected], yE-mail: [email protected] Toshiyuki Moriyamaz Department of Civil Engineering, Faculty of Engineering, Sojo University, Ikeda, Kumamoto 860-0081 Japan, zE-mail: [email protected] Abstract: The syslog messages of the iplog-2.2.3 packet capture in the DNS servers in Ku- mamoto University were statistically investigated when receiving abnormal TCP packets from PC terminals infected with internet worms like W32/Welchia and/or W32/Sasser.D worms. The inter- esting results are obtained: (1) Initially, the W32/Welchia worm-infected PC terminals for learners (920 PCs) considerably accelerates the total W32/Welchia infection. (2) We can suppress quickly the W32/Sasser.D infection in our university when filtering the access between total and the PC terminal’s LAN segments. Therefore, infection of internet worm in the PC terminals for learners should be taken into consideration to suppress quickly the infection. Keywords: Welchia, Sasser, internet worm, system vulnerability, TCP port 135, TCP port 445, worm detection 1. Introduction defragmentation, TCP stream reassembling (state- less/stateful), and content matcher (detection engine). Recent internet worms (IW) are mainly categorized The other is iplog[11], a packet logger that is not so into two types, as follows: one is a mass-mailing-worm powerful as Snort but it is slim and light-weighted so (MMW) which transfers itself by attachment files of that it is useful to get an IP address of the client PC the E-mail and the other is a system-vulnerability- terminal. -
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 ......................................................................................................................................... -
Emerging Threats and Attack Trends
Emerging Threats and Attack Trends Paul Oxman Cisco Security Research and Operations PSIRT_2009 © 2009 Cisco Systems, Inc. All rights reserved. Cisco Public 1 Agenda What? Where? Why? Trends 2008/2009 - Year in Review Case Studies Threats on the Horizon Threat Containment PSIRT_2009 © 2009 Cisco Systems, Inc. All rights reserved. Cisco Public 2 What? Where? Why? PSIRT_2009 © 2009 Cisco Systems, Inc. All rights reserved. Cisco Public 3 What? Where? Why? What is a Threat? A warning sign of possible trouble Where are Threats? Everywhere you can, and more importantly cannot, think of Why are there Threats? The almighty dollar (or euro, etc.), the underground cyber crime industry is growing with each year PSIRT_2009 © 2009 Cisco Systems, Inc. All rights reserved. Cisco Public 4 Examples of Threats Targeted Hacking Vulnerability Exploitation Malware Outbreaks Economic Espionage Intellectual Property Theft or Loss Network Access Abuse Theft of IT Resources PSIRT_2009 © 2009 Cisco Systems, Inc. All rights reserved. Cisco Public 5 Areas of Opportunity Users Applications Network Services Operating Systems PSIRT_2009 © 2009 Cisco Systems, Inc. All rights reserved. Cisco Public 6 Why? Fame Not so much anymore (more on this with Trends) Money The root of all evil… (more on this with the Year in Review) War A battlefront just as real as the air, land, and sea PSIRT_2009 © 2009 Cisco Systems, Inc. All rights reserved. Cisco Public 7 Operational Evolution of Threats Emerging Threat Nuisance Threat Threat Evolution Unresolved Threat Policy and Process Reactive Process Socialized Process Formalized Process Definition Reaction Mitigation Technology Manual Process Human “In the Automated Loop” Response Evolution Burden Operational End-User “Help-Desk” Aware—Know End-User No End-User Increasingly Self- Awareness Knowledge Enough to Call Burden Reliant Support PSIRT_2009 © 2009 Cisco Systems, Inc. -
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]