The Commercial Malware Industry (An Introductory Note)
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Virus Bulletin, August 1994
ISSN 0956-9979 AUGUST 1994 THE INTERNATIONAL PUBLICATION ON COMPUTER VIRUS PREVENTION, RECOGNITION AND REMOVAL Editor: Richard Ford CONTENTS Technical Editor: Fridrik Skulason Consulting Editor: Edward Wilding, EDITORIAL Network Security Management, UK Bigger, By Being Better? 2 VIRUS PREVALENCE TABLE 3 NEWS Central Point Merger Completed 3 Pathogen Author Arrested 3 IBM PC VIRUSES (UPDATE) 4 IN THIS ISSUE: INSIGHT CARO explained. Many people have no idea what Schwartau on Security 6 CARO is, what it does, or how to join it. Everything you ever wanted to know about the organisation but were FEATURE afraid to ask is on pp.8-9. CARO: A Personal View 8 The professionals professional. For the first time VIRUS ANALYSES ever, VB reviews AVP, one of Russias leading virus 1. AntiCMOS - Brain Damage 9 scanners: have researchers behind the former Iron 2. A Pile of Junk? 11 Curtain made as many advances in their work as those in 3. Pure Thoughts 13 the West? FEATURE The Lotus position. Lotus has adopted a novel ap- Epidemic Virus Control 15 proach to the prevention of large-scale virus outbreaks within the company. How effective is its technique, and PRODUCT REVIEWS is it a practical alternative in other companies? See p.15. 1. AVP - A Professional Choice 18 2. NetShield 1.5 21 END NOTES & NEWS 24 VIRUS BULLETIN ©1994 Virus Bulletin Ltd, 21 The Quadrant, Abingdon, Oxfordshire, OX14 3YS, England. Tel. +44 (0)235 555139. /94/$0.00+2.50 No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form without the prior written permission of the publishers. -
Identifying Threats Associated with Man-In-The-Middle Attacks During Communication Between a Mobile Device and the Back End Server in Mobile Banking Applications
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. IX (Mar-Apr. 2014), PP 35-42 www.iosrjournals.org Identifying Threats Associated With Man-In-The-Middle Attacks during Communication between a Mobile Device and the Back End Server in Mobile Banking Applications Anthony Luvanda1,*Dr Stephen Kimani1 Dr Micheal Kimwele1 1. School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, PO Box 62000-00200 Nairobi Kenya Abstract: Mobile banking, sometimes referred to as M-Banking, Mbanking or SMS Banking, is a term used for performing balance checks, account transactions, payments, credit applications and other banking transactions through a mobile device such as a mobile phone or Personal Digital Assistant (PDA). Mobile banking has until recently most often been performed via SMS or the Mobile Web. Apple's initial success with iPhone and the rapid growth of phones based on Google's Android (operating system) have led to increasing use of special client programs, called apps, downloaded to the mobile device hence increasing the number of banking applications that can be made available on mobile phones . This in turn has increased the popularity of mobile device use in regards to personal banking activities. Due to the characteristics of wireless medium, limited protection of the nodes, nature of connectivity and lack of centralized managing point, wireless networks tend to be highly vulnerable and more often than not they become subjects of attack. This paper proposes to identify potential threats associated with communication between a mobile device and the back end server in mobile banking applications. -
Fortinet's March Threatscape Report Shows Domination of Ransomware and Troublesome Zero-Day
Fortinet's March Threatscape Report Shows Domination of Ransomware and Troublesome Zero-Day Rise of Ransomware Is Primarily Driven by Bredolab and Pushdo Botnets SUNNYVALE, CA, Apr 01, 2010 (MARKETWIRE via COMTEX News Network) -- Fortinet(R) (NASDAQ: FTNT) -- a leading network security provider and worldwide leader of unified threat management (UTM) solutions -- today announced its March 2010 Threatscape report showed domination of ransomware threats with nine of the detections in the malware top ten list resulting in either scareware or ransomware infesting the victim's PC. Fortinet observed the primary drivers behind these threats to be two of the most notorious botnet "loaders" -- Bredolab and Pushdo. Another important finding is the aggressive entrance of a new zero-day threat in FortiGuard's top ten attack list, MS.IE.Userdata.Behavior.Code.Execution, which accounted for 25 percent of the detected activity last month. Key threat activities for the month of March include: -- SMS-based Ransomware High Activity: A new ransomware threat -- W32/DigiPog.EP -- appeared in Fortinet's top ten malware list. DigiPog is an SMS blocker using Russian language, locking out a system and aggressively killing off popular applications like Internet Explorer and Firefox until an appropriate code is entered into a field provided to the user. To obtain the code, a user must send an SMS message to the provided number, receiving a code in return. Upon execution, DigiPog registers the user's MAC address with its server. It is the first time that SMS-based ransomware enters Fortinet's top ten list, showing that the rise of ransomware is well on its way. -
59520611.Pdf
SOFTWARE • The software provides the commands that tell the hardware what tasks to perform, what to read and write, how to send the end result (the output) to a monitor and/or printer. • Software is the programs and data that a computer uses. • Software is kept on some hardware device such as a hard disk or floppy disk, but it itself is intangible. • Software consists of both programs and data. Programs are lists of instructions for the processor. Data can be any information that a program needs: character data, numerical data, image data, audio data, and countless other types. KINDS OF SOFTWARE • Application software (usually called just "applications") are programs that people use to get their work done. It may include data entry; update query and report programs, productivity software for spreadsheets, word processing, databases and custom accounting programs for payroll, billing and inventory. It is designed to help people with specific task such as making a spreadsheet of creating a graphic image. Example of Application Software: Word Processor Microsoft Word Lotus Word Pro Word Perfect Spreadsheet Software Microsoft Excel Lotus 123 Quicken Presentation Software Microsoft PowerPoint Lotus Freelance Graphics Database Software Microsoft Access Lotus Approach Web Browser Internet Explorer Netscape Navigator PIM (Personal Information Manager) - software designed to organize names, addresses, and random notes for easy and efficient retrieval. It is just like an electronic equivalent of a conven- tional book-type personal organizer. PIM usually features an automatic dialing telephone list, a programmable calendar and an automatic reminder scheduler. It is ideal for people with hectic schedules who spend a lot of time working with their computers. -
Malware and Social Engineering Attacks
chapter 2 Malware and Social Engineering Attacks After completing this chapter, you will be able to do the following: ● Describe the differences between a virus and a worm ● List the types of malware that conceals its appearance ● Identify different kinds of malware that is designed for profit ● Describe the types of social engineering psychological attacks ● Explain physical social engineering attacks 41 42 Chapter 2 Malware and Social Engineering Attacks Today’s Attacks and Defenses Successful software companies use a variety of strategies to outsell their competition and gain market share. These strategies may include selling their software at or below a com- petitor’s price, offering better technical support to customers, or providing customized software for clients. And if all else fails, a final strategy can be to buy out the competition through a merger or acquisition. These strategies are also being widely used by attackers who sell their attack software to others. Approximately two out of three malicious Web attacks have been developed using one of three popular attack toolkits. The toolkits are MPack (the most popular attack toolkit, which has almost half of the attacker toolkit mar- ket), NeoSploit, and ZeuS. These toolkits, which are bought and sold online through the underground attacker community, are used to create customized malware that can steal personal information, execute fraudulent financial transactions, and infect computers without the user’s knowledge. The toolkits range in price from only $40 to as much as $8,000. The developers behind these attack toolkits compete fiercely with each other. Some of their tactics include updating the toolkits to keep ahead of the latest security defenses, advertising their attack toolkits as cheaper than the competition, and provid- ing technical support to purchasers. -
MALWARE ACTIVITY DETECTION THROUGH BROWSER EXTENSION Jayanth Betha1, Prakash Andavolu2, Mariyala V V Gupta3 Department of Computer Science and Engineering, St
MALWARE ACTIVITY DETECTION THROUGH BROWSER EXTENSION Jayanth Betha1, Prakash Andavolu2, Mariyala V V Gupta3 Department of Computer Science and Engineering, St. Martin’s Engineering College, India. Abstract stretch out beyond the contaminated PC. A The drastic growth in Internet users and Malware infection may aim to damage the files Digital assets worldwide has created on storage devices; however, a keylogger is opportunities for cybercriminals to break utilized to take individual data, such as email into systems. The massive increase in ID's or passwords. While there are numerous malware and cybercrime is seen all over the approaches used to secure against keyloggers, globe; people have become more dependent this study mainly focuses on the detection of on the web environment. Malware (Malicious keyloggers. This research report will provide an Software), is a software that opens the door in-depth study on types of secretly monitoring for cybercriminals to access sensitive malware (keyloggers). A browser based solution information from the computing devices. In (browser extension) is needed to detect and alert the current technology-dependent world, the user about the keyloggers. attacks upon sensitive user information have In today’s technology-dependent world, continued to grow over time steadily. A attacks upon sensitive user information have common threat to data security is Malware. continued to evolve steadily over time. A Symantec discovered more than 430 million common threat to data security is Malware. new unique pieces of malware in 2015, up 36 According to (Symantec’s 2016 Internet percent from the year before. The objective of Security Threat Report. (n.d.). -
End User License Agreement
MICROSOFT SOFTWARE LICENSE TERMS WINDOWS EMBEDDED STANDARD 7 These license terms are an agreement between you and YSI incorporated. Please read them. They apply to the software included on this device. The software also includes any separate media on which you received the software. The software on this device includes software licensed from Microsoft Corporation or its affiliate. The terms also apply to any Microsoft • updates, • supplements, • Internet-based services, and • support services for this software, unless other terms accompany those items. If so, those terms apply. If you obtain updates or supplements directly from Microsoft, then Microsoft, and not YSI incorporated, licenses those to you. As described below, using the software also operates as your consent to the transmission of certain computer information for Internet-based services. By using the software, you accept these terms. If you do not accept them, do not use the software. Instead, contact YSI incorporated to determine its return policy for a refund or credit. If you comply with these license terms, you have the rights below. 1. USE RIGHTS Use. The software license is permanently assigned to the device with which you acquired the software. You may use the software on the device. 2. ADDITIONAL LICENSING REQUIREMENTS AND/OR USE RIGHTS a. Specific Use. YSI incorporated designed the device for a specific use. You may only use the software for that use. b. Other Software. You may use other programs with the software as long as the other programs directly supports the manufacturer’s specific use for the device, or provide system utilities, resource management, or anti-virus or similar protection. -
EVALUATION of HIDDEN MARKOV MODEL for MALWARE BEHAVIORAL CLASSIFICATION By
EVALUATION OF HIDDEN MARKOV MODEL FOR MALWARE BEHAVIORAL CLASSIFICATION By Mohammad Imran A research thesis submitted to the Department of Computer Science, Capital University of Science & Technology, Islamabad in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY IN COMPUTER SCIENCE DEPARTMENT OF COMPUTER SCIENCE CAPITAL UNIVERSITY OF SCIENCE & TECHNOLOGY ISLAMABAD October 2016 Copyright© 2016 by Mr. Mohammad Imran All rights reserved. No part of the material protected by this copyright notice may be reproduced or utilized in any form or any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without the permission from the author. To my parents and family Contents List of Figures iv List of Tablesv Abbreviations vi Publications vii Acknowledgements viii Abstractx 1 Introduction1 1.1 What is malware?............................1 1.2 Types of malware............................3 1.2.1 Virus...............................3 1.2.2 Worm..............................3 1.2.3 Trojan horse...........................3 1.2.4 Rootkit.............................4 1.2.5 Spyware.............................4 1.2.6 Adware.............................4 1.2.7 Bot................................4 1.3 Malware attack vectors.........................5 1.3.1 Use of vulnerabilities......................5 1.3.2 Drive-by downloads.......................5 1.3.3 Social engineering........................5 1.4 Combating malware: Malware analysis................5 1.4.1 Static analysis..........................6 1.4.2 Dynamic analysis........................9 1.4.3 Hybrid analysis......................... 12 1.5 Combating malware: Malware detection and classification...... 12 1.6 Observations from the literature.................... 13 1.7 Problem statement........................... 15 1.8 Motivation................................ 15 1.8.1 Why malware analysis?..................... 16 1.8.2 Why Hidden Markov Model?................ -
A Case Study in DNS Poisoning
A wrinkle in time: A case study in DNS poisoning Harel Berger Amit Z. Dvir Moti Geva Abstract—The Domain Name System (DNS) provides a trans- lation between readable domain names and IP addresses. The DNS is a key infrastructure component of the Internet and a prime target for a variety of attacks. One of the most significant threat to the DNS’s wellbeing is a DNS poisoning attack, in which the DNS responses are maliciously replaced, or poisoned, by an attacker. To identify this kind of attack, we start by an analysis of different kinds of response times. We present an analysis of typical and atypical response times, while differentiating between the different levels of DNS servers’ response times, from root servers down to internal caching servers. We successfully identify empirical DNS poisoning attacks based on a novel method for DNS response timing analysis. We then present a system we developed to validate our technique that does not require any changes to the DNS protocol or any existing network equipment. Our validation system tested data from different architectures including LAN and cloud environments and real data from an Internet Service Provider (ISP). Our method and system differ from most other DNS poisoning detection methods and achieved high detection rates exceeding 99%. These findings suggest that when used in conjunction with other methods, they can considerably enhance the accuracy of these methods. I. INTRODUCTION Fig. 1. DNS hierarchy example The Domain Name System (DNS) [1], [2] is one of the best known protocols in the Internet. Its main function is to trans- late human-readable domain names into their corresponding following steps. -
PC Anti-Virus Protection 2011
PC Anti-Virus Protection 2011 12 POPULAR ANTI-VIRUS PROGRAMS COMPARED FOR EFFECTIVENESS Dennis Technology Labs, 03/08/2010 www.DennisTechnologyLabs.com This test aims to compare the effectiveness of the most recent releases of popular anti-virus software1. The products include those from Kaspersky, McAfee, Microsoft, Norton (Symantec) and Trend Micro, as well as free versions from Avast, AVG and Avira. Other products include those from BitDefender, ESET, G-Data and K7. The tests were conducted between 07/07/2010 and 22/07/2010 using the most up to date versions of the software available. A total of 12 products were exposed to genuine internet threats that real customers could have encountered during the test period. Crucially, this exposure was carried out in a realistic way, reflecting a customer’s experience as closely as possible. For example, each test system visited real, infected websites that significant numbers of internet users were encountering at the time of the test. These results reflect what would have happened if those users were using one of the seven products tested. EXECUTIVE SUMMARY Q Products that block attacks early tended to protect the system more fully The nature of web-based attacks means that the longer malware has access to a system, the more chances it has of downloading and installing further threats. Products that blocked the malicious and infected websites from the start reduced the risk of compromise by secondary and further downloads. Q 100 per cent protection is rare This test recorded an average protection rate of 87.5 per cent. New threats appear online frequently and it is inevitable that there will be times when specific security products are unable to protect from some of these threats. -
Éric FREYSSINET Lutte Contre Les Botnets
THÈSE DE DOCTORAT DE L’UNIVERSITÉ PIERRE ET MARIE CURIE Spécialité Informatique École doctorale Informatique, Télécommunications et Électronique (Paris) Présentée par Éric FREYSSINET Pour obtenir le grade de DOCTEUR DE L’UNIVERSITÉ PIERRE ET MARIE CURIE Sujet de la thèse : Lutte contre les botnets : analyse et stratégie Présentée et soutenue publiquement le 12 novembre 2015 devant le jury composé de : Rapporteurs : M. Jean-Yves Marion Professeur, Université de Lorraine M. Ludovic Mé Enseignant-chercheur, CentraleSupélec Directeurs : M. David Naccache Professeur, École normale supérieure de thèse M. Matthieu Latapy Directeur de recherche, UPMC, LIP6 Examinateurs : Mme Clémence Magnien Directrice de recherche, UPMC, LIP6 Mme Solange Ghernaouti-Hélie Professeure, Université de Lausanne M. Vincent Nicomette Professeur, INSA Toulouse Cette thèse est dédiée à M. Celui qui n’empêche pas un crime alors qu’il le pourrait s’en rend complice. — Sénèque Remerciements Je tiens à remercier mes deux directeurs de thèse. David Naccache, officier de réserve de la gendarmerie, contribue au développement de la recherche au sein de notre institution en poussant des personnels jeunes et un peu moins jeunes à poursuivre leur passion dans le cadre académique qui s’impose. Matthieu Latapy, du LIP6, avec qui nous avions pu échanger autour d’une thèse qu’il encadrait dans le domaine difficile des atteintes aux mineurs sur Internet et qui a accepté de m’accueillir dans son équipe. Je voudrais remercier aussi, l’ensemble de l’équipe Réseaux Complexes du LIP6 et sa responsable d’équipe actuelle, Clémence Magnien, qui m’ont accueilli à bras ouverts, accom- pagné à chaque étape et dont j’ai pu découvrir les thématiques et les méthodes de travail au fil des rencontres et des discussions. -
Software Licensing in the Cloud Age Solving the Impact of Cloud Computing on Software Licensing Models
The International Journal of Soft Computing and Software Engineering [JSCSE], Vol. 3, No. 3, Special Issue: The Proceeding of International Conference on Soft Computing and Software Engineering 2013 [SCSE’13], San Francisco State University, CA, U.S.A., March 2013 Doi: 10.7321/jscse.v3.n3.60 e-ISSN: 2251-7545 Software Licensing in the Cloud Age Solving the Impact of Cloud Computing on Software Licensing Models Malcolm McRoberts Enterprise Architecture Core Technology Center Harris Corporation GCSD Melbourne, Florida, USA [email protected] Abstract—Cloud computing represents a major shift in identify key issues that require the attention of the industry information systems architecture, combining both new as a whole. deployment models and new business models. Rapid provisioning, elastic scaling, and metered usage are essential A. Characteristics of Cloud Computing (Benefits) characteristics of cloud services, and they require cloud According to the National Institute of Standards and resources with these same characteristics. When cloud services Technology (NIST) [1], cloud computing is a model for depend on commercial software, the licenses for that software enabling ubiquitous, convenient, on-demand network access become another resource to be managed by the cloud. This to a shared pool of configurable computing resources (e.g., paper examines common licensing models, including open networks, servers, storage, applications, and services) that source, and how well they function in a cloud services model. It can be rapidly provisioned and released with minimal discusses creative, new, cloud-centric licensing models and how management effort or service provider interaction. they allow providers to preserve and expand their revenue This translates to a number of benefits for large and small streams as their partners and customers transition to the organizations alike, as well as for individuals.