Ethical Hacking
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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 -
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. -
Wannacry Ransomware
KNOW THE UNKNOWN® Success Story: WannaCry Ransomware WHITE PAPER Challenge Stopping a Worm & Saving Millions Worms like WannaCry and Petya operate as essentially Even the most recent of these attacks like WannaCry and zero-day attacks: they can lie dormant on our networks Petya still echo the basic principles of past-worms, and as and then rapidly spread between devices upon waking up. such, they are both preventable and stoppable. During The consequences of being hit by one is dramatic: precious the Code Red, Nimda, and ILOVEYOU attacks of the early- data is either ransom-locked or wiped and thus often 2000s, businesses that had invested in a NIKSUN-like irrecoverable. This means millions in lost data, restoration solution were able to run a rapid report to get a list of fees, public relations, and stock-holder confidence. all infected devices and cut them off from their network. Instead of thousands of machines being affected, they When FedEx was hit by Petya, for example, their subsidiary were able to resolve the incident with minor losses of TNT Express experienced “widespread service delays” and hundreds or less. This process takes a mere few minutes were unable to “fully restore all of the affected systems and thus could have saved Reckitt Benckiser from their and recover all of the critical business data that was hour-long attack. encrypted by the virus.”1 Shares in the company dropped 3.4% in the wake of the attack.2 Total, 100% visibility is simply the only way to stop these worms from becoming too damaging. -
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 ......................................................................................................................................... -
Nimda Worm Shows You Can't Always Patch Fast Enough
Research Publication Date: 19 September 2001 ID Number: FT-14-5524 Nimda Worm Shows You Can't Always Patch Fast Enough John Pescatore Nimda bundles several known exploits against Internet Information Server and other Microsoft software. Enterprises with Web applications should start to investigate less- vulnerable Web server products. © 2001 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The reader assumes sole responsibility for the selection of these materials to achieve its intended results. The opinions expressed herein are subject to change without notice. NEWS ANALYSIS Event On 18 September 2001, a new mass-mailing computer worm began infecting computers worldwide, damaging local files as well as remote network files. The w32.Nimda.A @ mm worm can spread through e-mail, file sharing and Web site downloads. For more information, visit: http://www.microsoft.com/technet/security/topics/Nimda.asp or http://www.sarc.com/avcenter/venc/data/[email protected]. Analysis As a "rollup worm," Nimda bundles several known exploits against Microsoft's Internet Information Server (IIS), Internet Explorer (IE) browser, and operating systems such as Windows 2000 and Windows XP, which have IIS and IE embedded in their code. To protect against Nimda, Microsoft recommends installing numerous patches and service packs on virtually every PC and server running IE, IIS Web servers or the Outlook Express e-mail client. -
Kalyna Country Tourism Development Strategy
KALYNA COUNTRY TOURISM DEVELOPMENT STRATEGY Table of Contents EXECUTIVE SUMMARY ..............................................................................................................5 INTRODUCTION ........................................................................................................................10 Background..........................................................................................................................10 Project Objectives................................................................................................................11 Process Overview................................................................................................................11 SITUATION ASSESSMENT: Where are we now? ....................................................................16 Study Area...............................................................................................................................17 Themes ...................................................................................................................................18 Lures and Clusters: Kalyna’s Tourism Resource ....................................................................19 Key Attractions and Clusters ...............................................................................................19 Market Analysis .......................................................................................................................27 Trends in Alberta Tourism ...................................................................................................27 -
Code Red Worm Propagation Modeling and Analysis ∗
Code Red Worm Propagation Modeling and Analysis ∗ Cliff Changchun Zou Weibo Gong Don Towsley Dept. Electrical & Dept. Electrical & Dept. Computer Science Computer Engineering Computer Engineering Univ. Massachusetts Univ. Massachusetts Univ. Massachusetts Amherst, MA Amherst, MA Amherst, MA [email protected] [email protected] [email protected] ABSTRACT the Internet has become a powerful mechanism for propa- The Code Red worm incident of July 2001 has stimulated gating malicious software programs. Worms, defined as au- activities to model and analyze Internet worm propagation. tonomous programs that spread through computer networks In this paper we provide a careful analysis of Code Red prop- by searching, attacking, and infecting remote computers au- agation by accounting for two factors: one is the dynamic tomatically, have been developed for more than 10 years countermeasures taken by ISPs and users; the other is the since the first Morris worm [30]. Today, our computing in- slowed down worm infection rate because Code Red rampant frastructure is more vulnerable than ever before [28]. The propagation caused congestion and troubles to some routers. Code Red worm and Nimda worm incidents of 2001 have Based on the classical epidemic Kermack-Mckendrick model, shown us how vulnerable our networks are and how fast we derive a general Internet worm model called the two- a virulent worm can spread; furthermore, Weaver presented factor worm model. Simulations and numerical solutions some design principles for worms such that they could spread of the two-factor worm model match the observed data of even faster [34]. In order to defend against future worms, we Code Red worm better than previous models do. -
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. -
The Sword, November 2020
NOVEMBER 2020 VOLUME 59 | ISSUE 3 2 Marginalized Students at Concordia Share Grievances: Recent Sit-In BY MARYKATE FENSTERMAKER 6 Milestone in Catholic History with First African American Cardinal BY ERIKA SOUKUP 8 How to Enjoy Thanksgiving Without Killing Grandma BY RYAN SKILLE 11 CSP Baseball Team Sends Uniforms to Nicaragua BY DAVINA BELLINGER 20 Criminal Justice & Sociology Club holds Open Conversation BY REBECCA BEASLEY Photo Credit: Rene Elias *THIS IS NOT AN OFFICIAL CSP PUBLICATION AND DOES NOT NECESSARILY REFLECT THE VIEWS OF THE ADMINISTRATION, FACULTY, OR STAFF. SPECIAL THANKS TO THE CONTRIBUTING SPONSORS. 1 THE SWORD NEWSPAPER NOVEMBER 2020 VOLUME 59 | ISSUE 3 NEWS CONCORDIA ST. PAUL’S OFFICIAL STUDENT NEWSPAPER SINCE 1966 EDITOR IN CHIEF Anna Fritze Letter from the Editor Marginalized Students at Concordia ART DIRECTOR BY ANNA FRITZE Share Grievances: Recent Sit-In Carli Bruckmueller alloween has come and gone, the u.s. NEWS EDITOR is in its second wave of the coronavirus, and our Organized by Black Students Harry Lien H nation will have a new president in January. What a roller coaster this month has been. So, it’s pretty Challenges Administration SPORTS EDITOR much been like every other month since March! Crazy Jaid Perry BY MARYKATE FENSTERMAKER what America can throw at you. ARTS & VARIETY EDITOR Before I released last month’s issue, I was most expectant group of around 30 students staged a sit-on in the Tunnel on Friday Oct. Davina Bellinger of receiving negative feedback due to the majority of the 30th to express their dissatisfaction with Concordia’s response to Black students paper taking the liberal side of the election. -
International Journal of Computer Engineering and Applications, Volume XII, Special Issue, May 18, ISSN 2321-3469
International Journal of Computer Engineering and Applications, Volume XII, Special Issue, May 18, www.ijcea.com ISSN 2321-3469 PROVIDING RESTRICTIONS AGAINST ATTACK AND CONGESTION CONTROL IN PUBLICINFRASTRUCTURE CLOUD Nousheen R1, Shanmugapriya M2, Sujatha P3,Dhinakaran D4 Student, Computer Science and Engineering, Peri Institute of Technology, Chennai, India 1,2,3 Assistant professor, Computer Science and Engineering, Peri Institute of Technology, Chennai, India 4 ABSTRACT: Cloud computing is current trend in market .It reduce the cost and complexity of service providers by the means of capital and operational cost.It allows users to access application remotely. This construct directs cloud service provider to handle cost of servers, software updates,etc. If the session tokens are not properly protected, an attacker can hijack an active session and assume the identity of a user. To focusing on session hijacking and broken authenticationOTP is generated it will send user mail.Once the user is authenticatedthey will be split into virtual machine it is initiate to the upload process into the cloud.Thecloud user files are uploaded and stored in domain based .Also in our proposed system encryption keys are maintained outside of the IaaS domain.For encryption, we proposed RSA algorithm .For data owner file encryption, we use camellia algorithm. Finally the files are stored in the public cloud named CloudMe. Keywords: Cloud computing, session hijacking, OTP, Virtual machine, Iaas, CloudMe [1] INTRODUCTION Cloud computing is an information technology(IT) standard that enables universal access to share group of configurable system resource and higher-level services that can be quickly provisioned with minimal management effort, often over the internet. -
AN INFORMATION RETRIEVAL BASED MALWARE DETECTION SYSTEM Igor Santos, Xabier Ugarte-Pedrero Felix Brezo, Pablo G. Bringas Jo
Computing and Informatics, Vol. 32, 2013, 145{174 NOA: AN INFORMATION RETRIEVAL BASED MALWARE DETECTION SYSTEM Igor Santos, Xabier Ugarte-Pedrero Felix Brezo, Pablo G. Bringas S3Lab, DeustoTech { Computing Deusto Institute of Technology, University of Deusto Avenida de las Universidades 24, 48007, Bilbao, Spain e-mail: fisantos, xabier.ugarte, felix.brezo, [email protected] Jos´eMar´ıa Gomez-Hidalgo´ Optenet, Madrid, Spain e-mail: [email protected] Communicated by Deepak Gang Abstract. Malware refers to any type of code written with the intention of harming a computer or network. The quantity of malware being produced is increasing every year and poses a serious global security threat. Hence, malware detection is a cri- tical topic in computer security. Signature-based detection is the most widespread method used in commercial antivirus solutions. However, signature-based detec- tion can detect malware only once the malicious executable has caused damage and has been conveniently registered and documented. Therefore, the signature-based method fails to detect obfuscated malware variants. In this paper, a new malware detection system is proposed based on information retrieval. For the representa- tion of executables, the frequency of the appearance of opcode sequences is used. Through this architecture a malware detection system prototype is developed and evaluated in terms of performance, malware variant recall (false negative ratio) and false positives. Keywords: Malware detection, computer security, information retrieval, static analysis Mathematics Subject Classification 2010: 68-00, 68T30, 68U3 146 I. Santos, X. Ugarte-Pedrero, F. Brezo, P. G. Bringas, J. M. G´omez-Hidalgo 1 INTRODUCTION Malware (or malicious software) is defined as computer software that has been ex- plicitly designed to harm computers or networks.