Who Wrote Sobig? Copyright 2003-2004 Authors Page 1 of 48
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A the Hacker
A The Hacker Madame Curie once said “En science, nous devons nous int´eresser aux choses, non aux personnes [In science, we should be interested in things, not in people].” Things, however, have since changed, and today we have to be interested not just in the facts of computer security and crime, but in the people who perpetrate these acts. Hence this discussion of hackers. Over the centuries, the term “hacker” has referred to various activities. We are familiar with usages such as “a carpenter hacking wood with an ax” and “a butcher hacking meat with a cleaver,” but it seems that the modern, computer-related form of this term originated in the many pranks and practi- cal jokes perpetrated by students at MIT in the 1960s. As an example of the many meanings assigned to this term, see [Schneier 04] which, among much other information, explains why Galileo was a hacker but Aristotle wasn’t. A hack is a person lacking talent or ability, as in a “hack writer.” Hack as a verb is used in contexts such as “hack the media,” “hack your brain,” and “hack your reputation.” Recently, it has also come to mean either a kludge, or the opposite of a kludge, as in a clever or elegant solution to a difficult problem. A hack also means a simple but often inelegant solution or technique. The following tentative definitions are quoted from the jargon file ([jargon 04], edited by Eric S. Raymond): 1. A person who enjoys exploring the details of programmable systems and how to stretch their capabilities, as opposed to most users, who prefer to learn only the minimum necessary. -
Spamalytics: an Empirical Analysis of Spam Marketing Conversion
Spamalytics: An Empirical Analysis of Spam Marketing Conversion Chris Kanich∗ Christian Kreibich† Kirill Levchenko∗ Brandon Enright∗ Geoffrey M. Voelker∗ Vern Paxson† Stefan Savage∗ † ∗ International Computer Science Institute Dept. of Computer Science and Engineering Berkeley, USA University of California, San Diego, USA [email protected],[email protected] {ckanich,klevchen,voelker,savage}@cs.ucsd.edu [email protected] ABSTRACT Unraveling such questions is essential for understanding the eco- The “conversion rate” of spam — the probability that an unso- nomic support for spam and hence where any structural weaknesses licited e-mail will ultimately elicit a “sale” — underlies the entire may lie. Unfortunately, spammers do not file quarterly financial spam value proposition. However, our understanding of this critical reports, and the underground nature of their activities makes third- behavior is quite limited, and the literature lacks any quantitative party data gathering a challenge at best. Absent an empirical foun- study concerning its true value. In this paper we present a method- dation, defenders are often left to speculate as to how successful ology for measuring the conversion rate of spam. Using a parasitic spam campaigns are and to what degree they are profitable. For ex- infiltration of an existing botnet’s infrastructure, we analyze two ample, IBM’s Joshua Corman was widely quoted as claiming that spam campaigns: one designed to propagate a malware Trojan, the spam sent by the Storm worm alone was generating “millions and other marketing on-line pharmaceuticals. For nearly a half billion millions of dollars every day” [2]. While this claim could in fact be spam e-mails we identify the number that are successfully deliv- true, we are unaware of any public data or methodology capable of ered, the number that pass through popular anti-spam filters, the confirming or refuting it. -
Flow-Level Traffic Analysis of the Blaster and Sobig Worm Outbreaks in an Internet Backbone
Flow-Level Traffic Analysis of the Blaster and Sobig Worm Outbreaks in an Internet Backbone Thomas Dübendorfer, Arno Wagner, Theus Hossmann, Bernhard Plattner ETH Zurich, Switzerland [email protected] DIMVA 2005, Wien, Austria Agenda 1) Introduction 2) Flow-Level Backbone Traffic 3) Network Worm Blaster.A 4) E-Mail Worm Sobig.F 5) Conclusions and Outlook © T. Dübendorfer (2005), TIK/CSG, ETH Zurich -2- 1) Introduction Authors Prof. Dr. Bernhard Plattner Professor, ETH Zurich (since 1988) Head of the Communication Systems Group at the Computer Engineering and Networks Laboratory TIK Prorector of education at ETH Zurich (since 2005) Thomas Dübendorfer Dipl. Informatik-Ing., ETH Zurich, Switzerland (2001) ISC2 CISSP (Certified Information System Security Professional) (2003) PhD student at TIK, ETH Zurich (since 2001) Network security research in the context of the DDoSVax project at ETH Further authors: Arno Wagner, Theus Hossmann © T. Dübendorfer (2005), TIK/CSG, ETH Zurich -3- 1) Introduction Worm Analysis Why analyse Internet worms? • basis for research and development of: • worm detection methods • effective countermeasures • understand network impact of worms Wasn‘t this already done by anti-virus software vendors? • Anti-virus software works with host-centric signatures Research method used 1. Execute worm code in an Internet-like testbed and observe infections 2. Measure packet-level traffic and determine network-centric worm signatures on flow-level 3. Extensive analysis of flow-level traffic of the actual worm outbreaks captured in a Swiss backbone © T. Dübendorfer (2005), TIK/CSG, ETH Zurich -4- 1) Introduction Related Work Internet backbone worm analyses: • Many theoretical worm spreading models and simulations exist (e.g. -
In Computer Networks, A
Practical No.1 Date:- Title:- Installation of Proxy-Server Windows Server 2003 What is proxy server? In computer networks, a proxy server is a server (a computer system or an application program) that acts as an intermediary for requests from clients seeking resources from other servers. A client connects to the proxy server, requesting some service, such as a file, connection, web page, or other resource, available from a different server. The proxy server evaluates the request according to its filtering rules. For example, it may filter traffic by IP address or protocol. If the request is validated by the filter, the proxy provides the resource by connecting to the relevant server and requesting the service on behalf of the client. A proxy server may optionally alter the client's request or the server's response, and sometimes it may serve the request wit hout contacting the specified server. In this case, it 'caches' responses from the remote server, and returns subsequent requests for the same content directly . Most proxies are a web proxy, allowing access to content on the World Wide Web. A proxy server has a large variety of potential purposes, including: To keep machines behind it anonymous (mainly for security).[1] To speed up access to resources (using caching). Web proxies are commonly used to cache web pages from a web server.[2] To apply access policy to network services or content, e.g. to block undesired sites. To log / audit usage, i.e. to provide company employee Internet usage reporting. To bypass security/ parental controls. To scan transmitted content for malware before delivery. -
Address Munging: the Practice of Disguising, Or Munging, an E-Mail Address to Prevent It Being Automatically Collected and Used
Address Munging: the practice of disguising, or munging, an e-mail address to prevent it being automatically collected and used as a target for people and organizations that send unsolicited bulk e-mail address. Adware: or advertising-supported software is any software package which automatically plays, displays, or downloads advertising material to a computer after the software is installed on it or while the application is being used. Some types of adware are also spyware and can be classified as privacy-invasive software. Adware is software designed to force pre-chosen ads to display on your system. Some adware is designed to be malicious and will pop up ads with such speed and frequency that they seem to be taking over everything, slowing down your system and tying up all of your system resources. When adware is coupled with spyware, it can be a frustrating ride, to say the least. Backdoor: in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice), or could be a modification to an existing program or hardware device. A back door is a point of entry that circumvents normal security and can be used by a cracker to access a network or computer system. Usually back doors are created by system developers as shortcuts to speed access through security during the development stage and then are overlooked and never properly removed during final implementation. -
Antivirus Software Before It Can Detect Them
Computer virus A computer virus is a computer program that can copy itself and infect a computer without the permission or knowledge of the owner. The term "virus" is also commonly but erroneously used to refer to other types of malware, adware, and spyware programs that do not have the reproductive ability. A true virus can only spread from one computer to another (in some form of executable code) when its host is taken to the target computer; for instance because a user sent it over a network or the Internet, or carried it on a removable medium such as a floppy disk, CD, DVD, or USB drive. Viruses can increase their chances of spreading to other computers by infecting files on a network file system or a file system that is accessed by another computer.[1][2] The term "computer virus" is sometimes used as a catch-all phrase to include all types of malware. Malware includes computer viruses, worms, trojan horses, most rootkits, spyware, dishonest adware, crimeware, and other malicious and unwanted software), including true viruses. Viruses are sometimes confused with computer worms and Trojan horses, which are technically different. A worm can exploit security vulnerabilities to spread itself to other computers without needing to be transferred as part of a host, and a Trojan horse is a program that appears harmless but has a hidden agenda. Worms and Trojans, like viruses, may cause harm to either a computer system's hosted data, functional performance, or networking throughput, when they are executed. Some viruses and other malware have symptoms noticeable to the computer user, but many are surreptitious. -
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. -
Chapter 3: Viruses, Worms, and Blended Threats
Chapter 3 Chapter 3: Viruses, Worms, and Blended Threats.........................................................................46 Evolution of Viruses and Countermeasures...................................................................................46 The Early Days of Viruses.................................................................................................47 Beyond Annoyance: The Proliferation of Destructive Viruses .........................................48 Wiping Out Hard Drives—CIH Virus ...................................................................48 Virus Programming for the Masses 1: Macro Viruses...........................................48 Virus Programming for the Masses 2: Virus Generators.......................................50 Evolving Threats, Evolving Countermeasures ..................................................................51 Detecting Viruses...................................................................................................51 Radical Evolution—Polymorphic and Metamorphic Viruses ...............................53 Detecting Complex Viruses ...................................................................................55 State of Virus Detection.........................................................................................55 Trends in Virus Evolution..................................................................................................56 Worms and Vulnerabilities ............................................................................................................57 -
Combating Spyware in the Enterprise.Pdf
www.dbebooks.com - Free Books & magazines Visit us at www.syngress.com Syngress is committed to publishing high-quality books for IT Professionals and delivering those books in media and formats that fit the demands of our cus- tomers. We are also committed to extending the utility of the book you purchase via additional materials available from our Web site. SOLUTIONS WEB SITE To register your book, visit www.syngress.com/solutions. Once registered, you can access our [email protected] Web pages. There you will find an assortment of value-added features such as free e-booklets related to the topic of this book, URLs of related Web site, FAQs from the book, corrections, and any updates from the author(s). ULTIMATE CDs Our Ultimate CD product line offers our readers budget-conscious compilations of some of our best-selling backlist titles in Adobe PDF form. These CDs are the perfect way to extend your reference library on key topics pertaining to your area of exper- tise, including Cisco Engineering, Microsoft Windows System Administration, CyberCrime Investigation, Open Source Security, and Firewall Configuration, to name a few. DOWNLOADABLE EBOOKS For readers who can’t wait for hard copy, we offer most of our titles in download- able Adobe PDF form. These eBooks are often available weeks before hard copies, and are priced affordably. SYNGRESS OUTLET Our outlet store at syngress.com features overstocked, out-of-print, or slightly hurt books at significant savings. SITE LICENSING Syngress has a well-established program for site licensing our ebooks onto servers in corporations, educational institutions, and large organizations. -
Symantec Internet Security Threat Report
Symantec Internet EXECUTIVE SUMMARY Symantec Internet Security Threat Report September 2003 EXECUTIVE EDITOR Executive Summary Linda McCarthy Symantec Office of the CTO The Symantec Internet Security Threat Report provides a six-month update about Internet threat MANAGER, DEVELOPMENT activity1. It includes analysis of network-based attacks, a review of known vulnerabilities, and David Ahmad Symantec Security Response highlights of malicious code. This summary of that report can alert executives to impending threats and current trends. SENIOR THREAT ANALYST Cori Lynn Arnold Symantec Managed Security With over 20,000 sensors monitoring network activity in over 180 countries, Symantec has Services established one of the most comprehensive sources of Internet threat data in the world, giving SENIOR MANAGER, ANALYSIS Symantec's analysts a superior source of attack data from which to spot important trends. OPERATIONS These trends educate executives about potential threats and exposures, and using the data Brian Dunphy Symantec Managed Security can help them identify weaknesses in their own security architecture or policies. Services In August 2003, the Win32.Blaster blended threat rapidly spread worldwide, and several other SENIOR MANAGER, DEVELOPMENT Oliver Friedrichs highly severe worms followed. In only eight days the pace and frequency of these threats created Symantec Security Response havoc for systems administrators as well as for PC home users, with an estimated cost of damages 2 RESEARCH FELLOW running up to $2 billion . This report -
Email Worm Modeling and Defense
Email Worm Modeling and Defense CliffC.Zou∗,DonTowsley†, Weibo Gong∗ ∗Department of Electrical & Computer Engineering †Department of Computer Science University of Massachusetts, Amherst, MA 01003 {czou, gong}@ecs.umass.edu, [email protected] Abstract— Email worms constitute one of the major Internet little differences in terms of the propagation dynamics of email security problems. In this paper, we present an email worm worms. model that accounts for the behaviors of email users by con- Based on the above email worm model, we study the ef- sidering email checking time and the probability of opening email attachments. Email worms spread over a logical network fectiveness of “selective immunization defense”, i.e., selecting defined by email address relationship, which plays an important some most connected email users’ computers to make them role in determining the spreading dynamics of an email worm. immune to an email worm. The results explain why selective Our observations suggest that the node degrees of an email immunization defense against email worm propagation is quite network are heavy-tailed distributed. We compare email worm effective for a power law topology but not so good for the other propagation on three topologies: power law, small world and random graph topologies; and then study how the topology two topologies. affects immunization defense on email worms. The impact of The rest of the paper is organized as follows. Section II the power law topology on the spread of email worms is mixed: surveys related work. Section III presents the email worm email worms spread more quickly on a power law topology than propagation model. -
Image Spam Detection: Problem and Existing Solution
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 02 | Feb 2019 www.irjet.net p-ISSN: 2395-0072 Image Spam Detection: Problem and Existing Solution Anis Ismail1, Shadi Khawandi2, Firas Abdallah3 1,2,3Faculty of Technology, Lebanese University, Lebanon ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Today very important means of communication messaging spam, Internet forum spam, junk fax is the e-mail that allows people all over the world to transmissions, and file sharing network spam [1]. People communicate, share data, and perform business. Yet there is who create electronic spam are called spammers [2]. nothing worse than an inbox full of spam; i.e., information The generally accepted version for source of spam is that it crafted to be delivered to a large number of recipients against their wishes. In this paper, we present a numerous anti-spam comes from the Monty Python song, "Spam spam spam spam, methods and solutions that have been proposed and deployed, spam spam spam spam, lovely spam, wonderful spam…" Like but they are not effective because most mail servers rely on the song, spam is an endless repetition of worthless text. blacklists and rules engine leaving a big part on the user to Another thought maintains that it comes from the computer identify the spam, while others rely on filters that might carry group lab at the University of Southern California who gave high false positive rate. it the name because it has many of the same characteristics as the lunchmeat Spam that is nobody wants it or ever asks Key Words: E-mail, Spam, anti-spam, mail server, filter.