WORMS : attacks, defense and models. Presented by: Abhishek Sharma Vijay Erramilli

Size: px
Start display at page:

Download "WORMS : attacks, defense and models. Presented by: Abhishek Sharma Vijay Erramilli"

Transcription

1 WORMS : attacks, defense and models Presented by: Abhishek Sharma Vijay Erramilli

2 What is a computer worm? Is it not the same as a computer virus? A computer worm is a program that selfpropagates across a network exploiting security or policy flaws. A computer virus requires some sort of user action to abet their propagation The line between worms and viruses is not all that sharp : contagion worms

3 Outline A Taxonomy of Computer Worms The Slammer Worm What does the future have in store?

4 A Taxonomy of Computer Worms: know thy enemy To understand the worm threat, it is necessary to under the various types of worms. Taxonomy based on: target discovery carrier activation payloads attackers

5 Target Discovery: the mechanism by which a worm discovers new targets to infect : scanning, hit-list scanning Scanning : entails probing a set of addresses to identify vulnerable hosts. sequential : working through a IP address block using an ordered set of addresses random : trying address out of a block in a pseudo-random fashion Code-Red, Nimda, Slammer Worm

6 Optimizations to scanning Localized scanning strategy : (Code- Red II) With probability 3/8 choose a random IP address from within the class B address (/16 network) of the infected machine. With probability 1/2 choose randomly from the class A (/8 network) of the infected machine. With probability 1/8 choose a random address from the whole Internet.

7 Hit-list Scanning getting off the ground Provide the worm with a list of potentially vulnerable machines. The worm, when released onto an initial machine on this hit-list, begins scanning down the list. When it infects a machine, it divides the hitlist in half, communicating half to the recipient worm, keeping the other half.

8 Permutation Scanning Random scanning is inefficient : many addresses are probed multiple times no means for a randomly scanning worm to effectively determine when all vulnerable machines are infected Permutation scanning a worm can detect that a particular target is already infected all worms share a common pseudo random permutation of the IP address space

9 Spread of Scanning Worms The speed of scanning worms is limited by: Density of vulnerable machines Design of the scanner The ability of edge routers to handle a potentially significant increase in new, diverse communication. Scanning is highly anomalous behavior. Effective detection; defenses designed to stop an entire family of worms

10 How fast do the spread?

11 Topological Worms : Internal Target Lists Many applications contain information about other hosts providing vulnerable services. Topological worm searches for local information to find new victims by trying to discover the local communication topology The original Morris worm used topological techniques including Network Yellow pages, /etc/hosts, and other sources to find new victims.

12 Topological Worms The spread is slower as compared to scanning worms. Can bypass defenses by communicating information known by one instance to other instances. May present a global anomaly, the local traffic may appear normal. Highly distributed sensors may be needed to detect topological worms

13 Target Discovery : Passive Worms A passive worm does not seek out victim machines. Instead, it either waits for potential victims to contact the worm or rely on user behavior to discover new targets Gnuman : Operates by acting as a Gnutella node which replies to all queries with copies of itself. If this copy is copy is run, the Gnuman starts on the victim and repeats itself.

14 Passive Worms continued CRclean : the anti-worm This worm waits for a Code Red II related probe. When it detects an infection attempt, it responds by launching a counterattack. If this counterattack is successful, it removes Code Red II and installs itself on the machine. Never released.

15 Stealth worms --- contagion

16 P2P systems : susceptible to contagion worms Likely need only a single exploit, not a pair Often, peers running identical software Rich interconnection pattern Often used to transfer large files Not mainstream less vulnerability assessment, monitoring

17 P2P network susceptibility continued Often give access to user s desktop rather than server; sensitive data grey content : users less inclined to draw attention to unusual behavior Come with built-in control/ dissemination plain and can be Very Large

18 Toolkit Potential toolkits : large reusable structures where a small amount of additional code can be added to create a worm. Application-independent and applicationdependent toolkits seen in the wild. Application independent toolkit can contain: Code for scanning Transporting payloads

19 Toolkits continued Scanning worms are not application specific. The Slapper worm: attacker inserted a new exploit into the Scalper worm source code. scanning worms can be released as soon as a vulnerability is published

20 Distribution Mechanisms affects the speed and stealth of a worm Mechanisms: Self-carried Second channel : Blaster worm Embedded : contagion worm An embedded strategy only makes sense when the target selection strategy is also stealthy. Distribution: One-to-many Many-to-many Hybrid

21 Activation Self-Activation Human Activation rely on social engineering techniques Human Activity-Based Activation Logging in and therefore executing login scripts Opening a remotely infected file Scheduled Process Activation

22 Payloads None/nonfunctional : Morris, Slammer Disruption through traffic and machine load; by actively advertising vulnerable machines Internet Remote Control Code-Red II opened a trivial-to-use privileged backdoor on victim machines; exploited by anti- Code-Red worms

23 Payloads continued Spam-Relays: Sobig worm Spammers can avoid mechanisms which block known-spamming IP addresses HTML-proxies: Redirect web requests (through DNS) to randomly selected proxy machines Internet DOS

24 Payloads continued. Data Collection Access for sale Data damage : Chenobyl, Klez Worm Maintenance: W32/sonic

25 Code-Red

26 The Slammer Worm Spread nearly two orders of magnitude faster than Code-Red In approx. 3 minutes, the worm achieved its full scanning rate (more than 55 million scans per second) The spread was so aggressive that the worm quickly interfered with its own growth

27

28 Why Slammer was so fast? Code-Red was latency limited: Spreads via many threads, each invoking connect() to open a TCP session to random addresses Consequently, each thread s scanning rate was limited by the network latency

29 Latency limitation of Code-Red Thread is blocked while waiting to receive SYN/ACK Worms can compensate this by invoking large number of threads Operating system limitations : Context-switching overhead Kernel stack memory consumption

30 Slammer was bandwidth limited UDP-based A single packet to UDP port 1434 could exploit the SQL server s vulnerability Smaller size Slammer : 404 bytes Code-Red : 4 Kbytes Nimda : 60 Kbytes

31 Slammer opens a for more worms Smaller susceptible populations are now more attractive Need to automate worm defenses Filtering provides no benefit for actually limiting the number of infected machines What is Slammer propagated only for 10 minutes? 75,000 compromised machines Many might never have been identified!!!

32 Multi-vector worms---nimda By active probing By bulk ing itself as an attachment By copying itself across open network shares By adding exploit code to Web pages on compromised servers By scanning for backdoors left by Code-Red II

33 Code Red 2 kills off Code Red 1 CR 1 returns thanks to bad clocks Code Red 2 settles into weekly pattern Nimda enters the ecosystem Code Red 2 dies off as programmed

34 Code Red 2 dies off as programmed Nimda hums along, slowly cleaned up With its predator gone, Code Red 1 comes back!, still exhibiting monthly pattern

SECURITY TERMS: Advisory Backdoor - Blended Threat Blind Worm Bootstrapped Worm Bot Coordinated Scanning

SECURITY TERMS: Advisory Backdoor - Blended Threat Blind Worm Bootstrapped Worm Bot Coordinated Scanning SECURITY TERMS: Advisory - A formal notice to the public on the nature of security vulnerability. When security researchers discover vulnerabilities in software, they usually notify the affected vendor

More information

Sapphire/Slammer Worm. Code Red v2. Sapphire/Slammer Worm. Sapphire/Slammer Worm. Sapphire/Slammer Worm. Why Was Slammer So Fast?

Sapphire/Slammer Worm. Code Red v2. Sapphire/Slammer Worm. Sapphire/Slammer Worm. Sapphire/Slammer Worm. Why Was Slammer So Fast? First Worm Ever Morris Worm Robert Morris, a PhD student at Cornell, was interested in network security He created the first worm with a goal to have a program live on the Internet in November 9 Worm was

More information

Security Toolsets for ISP Defense

Security Toolsets for ISP Defense Security Toolsets for ISP Defense Backbone Practices Authored by Timothy A Battles (AT&T IP Network Security) What s our goal? To provide protection against anomalous traffic for our network and it s customers.

More information

Firewalls and Intrusion Detection

Firewalls and Intrusion Detection Firewalls and Intrusion Detection What is a Firewall? A computer system between the internal network and the rest of the Internet A single computer or a set of computers that cooperate to perform the firewall

More information

Intelligent Worms: Searching for Preys

Intelligent Worms: Searching for Preys Intelligent Worms: Searching for Preys By Zesheng Chen and Chuanyi Ji ABOUT THE AUTHORS. Zesheng Chen is currently a Ph.D. Candidate in the Communication Networks and Machine Learning Group at the School

More information

Malicious Programs. CEN 448 Security and Internet Protocols Chapter 19 Malicious Software

Malicious Programs. CEN 448 Security and Internet Protocols Chapter 19 Malicious Software CEN 448 Security and Internet Protocols Chapter 19 Malicious Software Dr. Mostafa Hassan Dahshan Computer Engineering Department College of Computer and Information Sciences King Saud University mdahshan@ccis.ksu.edu.sa

More information

CSE331: Introduction to Networks and Security. Lecture 15 Fall 2006

CSE331: Introduction to Networks and Security. Lecture 15 Fall 2006 CSE331: Introduction to Networks and Security Lecture 15 Fall 2006 Worm Research Sources "Inside the Slammer Worm" Moore, Paxson, Savage, Shannon, Staniford, and Weaver "How to 0wn the Internet in Your

More information

Large Scale Malicious Code: A Research Agenda

Large Scale Malicious Code: A Research Agenda Large Scale Malicious Code: A Research Agenda Nicholas Weaver Vern Paxson Stuart Staniford Robert Cunningham Silicon Defense & ICSI Center for Silicon Defense MIT Lincoln UC Berkeley Internet Research

More information

Internet Worms, Firewalls, and Intrusion Detection Systems

Internet Worms, Firewalls, and Intrusion Detection Systems Internet Worms, Firewalls, and Intrusion Detection Systems Brad Karp UCL Computer Science CS 3035/GZ01 12 th December 2013 Outline Internet worms Self-propagating, possibly malicious code spread over Internet

More information

A SURVEY OF INTERNET WORM DETECTION

A SURVEY OF INTERNET WORM DETECTION 1ST QUARTER 2008, VOLUME 10, NO. 1 IEEE COMMUNICATIONS SURVEYS The Electronic Magazine of Original Peer-Reviewed Survey Articles www.comsoc.org/pubs/surveys A SURVEY OF INTERNET WORM DETECTION AND CONTAINMENT

More information

Cryptography and Network Security Chapter 21. Malicious Software. Backdoor or Trapdoor. Logic Bomb 4/19/2010. Chapter 21 Malicious Software

Cryptography and Network Security Chapter 21. Malicious Software. Backdoor or Trapdoor. Logic Bomb 4/19/2010. Chapter 21 Malicious Software Cryptography and Network Security Chapter 21 Fifth Edition by William Stallings Chapter 21 Malicious Software What is the concept of defense: The parrying of a blow. What is its characteristic feature:

More information

Scan Detection Based Identification of Worm-Infected Hosts

Scan Detection Based Identification of Worm-Infected Hosts Institut für Technische Informatik und Kommunikationsnetze Christoph Göldi, Roman Hiestand Scan Detection Based Identification of Worm-Infected Hosts Student Thesis MA-2005-01 18th April 2005 / Winter

More information

Agenda. Taxonomy of Botnet Threats. Background. Summary. Background. Taxonomy. Trend Micro Inc. Presented by Tushar Ranka

Agenda. Taxonomy of Botnet Threats. Background. Summary. Background. Taxonomy. Trend Micro Inc. Presented by Tushar Ranka Taxonomy of Botnet Threats Trend Micro Inc. Presented by Tushar Ranka Agenda Summary Background Taxonomy Attacking Behavior Command & Control Rallying Mechanisms Communication Protocols Evasion Techniques

More information

! Slammer Worm. ! Shaft DoS attack. ! Mstream DoS attack. ! Trin00 DoS attack. ! First gained notice with the Morris worm of 88. !

! Slammer Worm. ! Shaft DoS attack. ! Mstream DoS attack. ! Trin00 DoS attack. ! First gained notice with the Morris worm of 88. ! Outline Early DoS and Worms Ben Wilde 7 February, 2005 Comp 290 Network Intrusion Detection Introduction to worms Potential damage that *could* be caused (theoretical) Examples of recent worms and DoS

More information

Denial of Service (DoS) Technical Primer

Denial of Service (DoS) Technical Primer Denial of Service (DoS) Technical Primer Chris McNab Principal Consultant, Matta Security Limited chris.mcnab@trustmatta.com Topics Covered What is Denial of Service? Categories and types of Denial of

More information

VERISIGN DISTRIBUTED DENIAL OF SERVICE TRENDS REPORT ISSUE 3 3RD QUARTER 2014

VERISIGN DISTRIBUTED DENIAL OF SERVICE TRENDS REPORT ISSUE 3 3RD QUARTER 2014 VERISIGN DISTRIBUTED DENIAL OF SERVICE TRENDS REPORT ISSUE 3 3RD QUARTER 2014 CONTENTS EXECUTIVE SUMMARY 3 VERISIGN-OBSERVED DDoS ATTACK TRENDS 4 Mitigations by Attack Size 4 Mitigations by Industry 5

More information

Malicious Software. Malicious Software. Overview. Backdoor or Trapdoor. Raj Jain. Washington University in St. Louis

Malicious Software. Malicious Software. Overview. Backdoor or Trapdoor. Raj Jain. Washington University in St. Louis Malicious Software Overview Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu Audio/Video recordings of this lecture are available at: http://www.cse.wustl.edu/~jain/cse571-14/

More information

The Spread of the Sapphire/Slammer Worm

The Spread of the Sapphire/Slammer Worm The Spread of the Sapphire/Slammer Worm By (in alphabetical order) David Moore Vern Paxson Stefan Savage Colleen Shannon Stuart Staniford Nicholas Weaver CAIDA & UCSD CSE ICIR & LBNL UCSD CSE CAIDA Silicon

More information

Network Security Monitoring and Behavior Analysis Pavel Čeleda, Petr Velan, Tomáš Jirsík

Network Security Monitoring and Behavior Analysis Pavel Čeleda, Petr Velan, Tomáš Jirsík Network Security Monitoring and Behavior Analysis Pavel Čeleda, Petr Velan, Tomáš Jirsík {celeda velan jirsik}@ics.muni.cz Part I Introduction P. Čeleda et al. Network Security Monitoring and Behavior

More information

Network Incident Report

Network Incident Report To submit copies of this form via facsimile, please FAX to 202-406-9233. Network Incident Report United States Secret Service Financial Crimes Division Electronic Crimes Branch Telephone: 202-406-5850

More information

Project Proposal Active Honeypot Systems By William Kilgore University of Advancing Technology. Project Proposal 1

Project Proposal Active Honeypot Systems By William Kilgore University of Advancing Technology. Project Proposal 1 Project Proposal Active Honeypot Systems By William Kilgore University of Advancing Technology Project Proposal 1 Project Proposal 2 Abstract Honeypot systems are readily used by organizations large and

More information

2010 Carnegie Mellon University. Malware and Malicious Traffic

2010 Carnegie Mellon University. Malware and Malicious Traffic Malware and Malicious Traffic What We Will Cover Introduction Your Network Fundamentals of networks, flow, and protocols Malicious traffic External Events & Trends Malware Networks in the Broad Working

More information

Overview of Network Security The need for network security Desirable security properties Common vulnerabilities Security policy designs

Overview of Network Security The need for network security Desirable security properties Common vulnerabilities Security policy designs Overview of Network Security The need for network security Desirable security properties Common vulnerabilities Security policy designs Why Network Security? Keep the bad guys out. (1) Closed networks

More information

VULNERABILITY ASSESSMENT WHITEPAPER INTRODUCTION, IMPLEMENTATION AND TECHNOLOGY DISCUSSION

VULNERABILITY ASSESSMENT WHITEPAPER INTRODUCTION, IMPLEMENTATION AND TECHNOLOGY DISCUSSION VULNERABILITY ASSESSMENT WHITEPAPER INTRODUCTION, IMPLEMENTATION AND TECHNOLOGY DISCUSSION copyright 2003 securitymetrics Security Vulnerabilities of Computers & Servers Security Risks Change Daily New

More information

How do DoS attacks work? CSE 123b Communications Software. Step 1: Attacker infiltrates machines. Step 2: Attacker sends commands to handler

How do DoS attacks work? CSE 123b Communications Software. Step 1: Attacker infiltrates machines. Step 2: Attacker sends commands to handler CSE 123b Communications Software Spring 2003 Lecture 16: Network Security II Stefan Savage How do DoS attacks work? Denial-of-service attacks Logic: exploit bugs to cause crash» e.g. Ping-of-Death, Land

More information

Mitigating denial of service attacks: A tutorial

Mitigating denial of service attacks: A tutorial Journal of Computer Security 13 (2005) 807 837 807 IOS Press Mitigating denial of service attacks: A tutorial Jarmo Mölsä National Defence College, Department of Technology, P.O. Box 7, FI-00861 Helsinki,

More information

Computer Security DD2395

Computer Security DD2395 Computer Security DD2395 http://www.csc.kth.se/utbildning/kth/kurser/dd2395/dasakh11/ Fall 2011 Sonja Buchegger buc@kth.se Lecture 7 Malicious Software DD2395 Sonja Buchegger 1 Course Admin Lab 2: - prepare

More information

Firewalls, Tunnels, and Network Intrusion Detection

Firewalls, Tunnels, and Network Intrusion Detection Firewalls, Tunnels, and Network Intrusion Detection 1 Part 1: Firewall as a Technique to create a virtual security wall separating your organization from the wild west of the public internet 2 1 Firewalls

More information

Comparison of Firewall, Intrusion Prevention and Antivirus Technologies

Comparison of Firewall, Intrusion Prevention and Antivirus Technologies White Paper Comparison of Firewall, Intrusion Prevention and Antivirus Technologies How each protects the network Juan Pablo Pereira Technical Marketing Manager Juniper Networks, Inc. 1194 North Mathilda

More information

FIREWALLS & NETWORK SECURITY with Intrusion Detection and VPNs, 2 nd ed. Chapter 4 Finding Network Vulnerabilities

FIREWALLS & NETWORK SECURITY with Intrusion Detection and VPNs, 2 nd ed. Chapter 4 Finding Network Vulnerabilities FIREWALLS & NETWORK SECURITY with Intrusion Detection and VPNs, 2 nd ed. Chapter 4 Finding Network Vulnerabilities Learning Objectives Name the common categories of vulnerabilities Discuss common system

More information

A Taxonomy of Computer Worms

A Taxonomy of Computer Worms A Taxonomy of Computer Worms Nicholas Weaver UC Berkeley Vern Paxson ICSI Stuart Staniford Silicon Defense Robert Cunningham MIT Lincoln Laboratory ABSTRACT To understand the threat posed by computer worms,

More information

Chapter 9 Firewalls and Intrusion Prevention Systems

Chapter 9 Firewalls and Intrusion Prevention Systems Chapter 9 Firewalls and Intrusion Prevention Systems connectivity is essential However it creates a threat Effective means of protecting LANs Inserted between the premises network and the to establish

More information

CIS 551 / TCOM 401 Computer and Network Security. Spring 2006 Lecture 21

CIS 551 / TCOM 401 Computer and Network Security. Spring 2006 Lecture 21 CIS 551 / TCOM 401 Computer and Network Security Spring 2006 Lecture 21 Outline for Today (and Next Time) Containing worms and viruses Detecting viruses and worms Intrusion detection in general Defenses

More information

Blended Security Assessments

Blended Security Assessments Blended Security Assessments Combining Active, Passive and Host Assessment Techniques October 12, 2009 (Revision 9) Renaud Deraison Director of Research Ron Gula Chief Technology Officer Table of Contents

More information

Dos & DDoS Attack Signatures (note supplied by Steve Tonkovich of CAPTUS NETWORKS)

Dos & DDoS Attack Signatures (note supplied by Steve Tonkovich of CAPTUS NETWORKS) Dos & DDoS Attack Signatures (note supplied by Steve Tonkovich of CAPTUS NETWORKS) Signature based IDS systems use these fingerprints to verify that an attack is taking place. The problem with this method

More information

Real-time Network Monitoring and Security Platform for Securing Next-Generation Network. Assoc. Prof. Dr. Sureswaran Ramadass

Real-time Network Monitoring and Security Platform for Securing Next-Generation Network. Assoc. Prof. Dr. Sureswaran Ramadass Real-time Network Monitoring and Security Platform for Securing Next-Generation Network Assoc. Prof. Dr. Sureswaran Ramadass The platform Definition A description of a software framework that makes services

More information

ACS-3921/4921-050 Computer Security And Privacy. Lecture Note 5 October 7 th 2015 Chapter 5 Database and Cloud Security

ACS-3921/4921-050 Computer Security And Privacy. Lecture Note 5 October 7 th 2015 Chapter 5 Database and Cloud Security ACS-3921/4921-050 Computer Security And Privacy Lecture Note 5 October 7 th 2015 Chapter 5 Database and Cloud Security ACS-3921/4921-050 Slides Used In The Course A note on the use of these slides: These

More information

Intrusion Detection for Viruses and Worms

Intrusion Detection for Viruses and Worms Intrusion Detection for Viruses and Worms Thomas M. Chen Dept. of Electrical Engineering Southern Methodist University PO Box 750338 Dallas, TX 75275-0338 Tel: 214-768-8541 Fax: 214-768-3573 Email: tchen@engr.smu.edu

More information

Comprehensive Malware Detection with SecurityCenter Continuous View and Nessus. February 3, 2015 (Revision 4)

Comprehensive Malware Detection with SecurityCenter Continuous View and Nessus. February 3, 2015 (Revision 4) Comprehensive Malware Detection with SecurityCenter Continuous View and Nessus February 3, 2015 (Revision 4) Table of Contents Overview... 3 Malware, Botnet Detection, and Anti-Virus Auditing... 3 Malware

More information

Understanding the Behavior of Internet Worm through PArallel Worm Simulator (PAWS)

Understanding the Behavior of Internet Worm through PArallel Worm Simulator (PAWS) Understanding the Behavior of Internet Worm through PArallel Worm Simulator (PAWS) Tiffany Tachibana Computer Science and lnformation Technology California State University, Monteray Bay ttachibana@csumb.edu

More information

WORMS HALMSTAD UNIVERSITY. Network Security. Network Design and Computer Management. Project Title:

WORMS HALMSTAD UNIVERSITY. Network Security. Network Design and Computer Management. Project Title: HALMSTAD UNIVERSITY Network Design and Computer Management Course Title: Network Security Project Title: WORMS Project members: - Tchape Philippe 841122-T099 - Jose Enrique Charpentier 830112-9154 Lecturer:

More information

Denial of Service. Tom Chen SMU tchen@engr.smu.edu

Denial of Service. Tom Chen SMU tchen@engr.smu.edu Denial of Service Tom Chen SMU tchen@engr.smu.edu Outline Introduction Basics of DoS Distributed DoS (DDoS) Defenses Tracing Attacks TC/BUPT/8704 SMU Engineering p. 2 Introduction What is DoS? 4 types

More information

Trends in Denial of Service Attack Technology

Trends in Denial of Service Attack Technology Trends in Denial of Service Attack Technology CERT Coordination Center Kevin J. Houle, CERT/CC George M. Weaver, CERT/CC In collaboration with: Neil Long Rob Thomas v1.0 October 2001 CERT and CERT Coordination

More information

Workshop on Infrastructure Security and Operational Challenges of Service Provider Networks

Workshop on Infrastructure Security and Operational Challenges of Service Provider Networks Workshop on Infrastructure Security and Operational Challenges of Service Provider Networks Farnam Jahanian University of Michigan and Arbor Networks IFIP Working Group 10.4 June 29-30, 2006 What s the

More information

Security Threat Kill Chain What log data would you need to identify an APT and perform forensic analysis?

Security Threat Kill Chain What log data would you need to identify an APT and perform forensic analysis? Security Threat Kill Chain What log data would you need to identify an APT and perform forensic analysis? This paper presents a scenario in which an attacker attempts to hack into the internal network

More information

Analysis of Computer Network Attacks

Analysis of Computer Network Attacks Analysis of Computer Network Attacks Nenad Stojanovski 1, Marjan Gusev 2 1 Bul. AVNOJ 88-1/6, 1000 Skopje, Macedonia Nenad.stojanovski@gmail.com 2 Faculty of Natural Sciences and Mathematics, Ss. Cyril

More information

Evading Infrastructure Security Mohamed Bedewi Penetration Testing Consultant

Evading Infrastructure Security Mohamed Bedewi Penetration Testing Consultant Evading Infrastructure Security Mohamed Bedewi Penetration Testing Consultant What infrastructure security really means? Infrastructure Security is Making sure that your system services are always running

More information

Malicious Software. Ola Flygt Växjö University, Sweden http://w3.msi.vxu.se/users/ofl/ Ola.Flygt@vxu.se +46 470 70 86 49. Viruses and Related Threats

Malicious Software. Ola Flygt Växjö University, Sweden http://w3.msi.vxu.se/users/ofl/ Ola.Flygt@vxu.se +46 470 70 86 49. Viruses and Related Threats Malicious Software Ola Flygt Växjö University, Sweden http://w3.msi.vxu.se/users/ofl/ Ola.Flygt@vxu.se +46 470 70 86 49 1 Outline Viruses and Related Threats Malicious Programs The Nature of Viruses Antivirus

More information

Network Security: From Firewalls to Internet Critters Some Issues for Discussion

Network Security: From Firewalls to Internet Critters Some Issues for Discussion Network Security: From Firewalls to Internet Critters Some Issues for Discussion Slide 1 Presentation Contents!Firewalls!Viruses!Worms and Trojan Horses!Securing Information Servers Slide 2 Section 1:

More information

Denial of Service attacks: analysis and countermeasures. Marek Ostaszewski

Denial of Service attacks: analysis and countermeasures. Marek Ostaszewski Denial of Service attacks: analysis and countermeasures Marek Ostaszewski DoS - Introduction Denial-of-service attack (DoS attack) is an attempt to make a computer resource unavailable to its intended

More information

CS549: Cryptography and Network Security

CS549: Cryptography and Network Security CS549: Cryptography and Network Security by Xiang-Yang Li Department of Computer Science, IIT Cryptography and Network Security 1 Notice This lecture note (Cryptography and Network Security) is prepared

More information

Announcements. Lab 2 now on web site

Announcements. Lab 2 now on web site Lab 2 now on web site Announcements Next week my office hours moved to Monday 4:3pm This week office hours Wednesday 4:3pm as usual Weighting of papers for final discussion [discussion of listen] Bro:

More information

Port Scanning and Vulnerability Assessment. ECE4893 Internetwork Security Georgia Institute of Technology

Port Scanning and Vulnerability Assessment. ECE4893 Internetwork Security Georgia Institute of Technology Port Scanning and Vulnerability Assessment ECE4893 Internetwork Security Georgia Institute of Technology Agenda Reconnaissance Scanning Network Mapping OS detection Vulnerability assessment Reconnaissance

More information

Symantec enterprise security. Symantec Internet Security Threat Report April 2009. An important note about these statistics.

Symantec enterprise security. Symantec Internet Security Threat Report April 2009. An important note about these statistics. Symantec enterprise security Symantec Internet Security Threat Report April 00 Regional Data Sheet Latin America An important note about these statistics The statistics discussed in this document are based

More information

Seminar Computer Security

Seminar Computer Security Seminar Computer Security DoS/DDoS attacks and botnets Hannes Korte Overview Introduction What is a Denial of Service attack? The distributed version The attacker's motivation Basics Bots and botnets Example

More information

DDoS Attacks: The Latest Threat to Availability. Dr. Bill Highleyman Managing Editor Availability Digest

DDoS Attacks: The Latest Threat to Availability. Dr. Bill Highleyman Managing Editor Availability Digest DDoS Attacks: The Latest Threat to Availability Dr. Bill Highleyman Managing Editor Availability Digest The Anatomy of a DDoS Attack Sombers Associates, Inc. 2013 2 What is a Distributed Denial of Service

More information

Hack Your SQL Server Database Before the Hackers Do

Hack Your SQL Server Database Before the Hackers Do Note: This article was edited in Oct. 2013, from numerous Web Sources. TJS At the Install: The default install for SQL server makes it is as secure as it will ever be. DBAs and developers will eventually

More information

Network Security. Marcus Bendtsen Institutionen för Datavetenskap (IDA) Avdelningen för Databas- och Informationsteknik (ADIT)

Network Security. Marcus Bendtsen Institutionen för Datavetenskap (IDA) Avdelningen för Databas- och Informationsteknik (ADIT) Network Security ICMP, TCP, DNS, Scanning Marcus Bendtsen Institutionen för Datavetenskap (IDA) Avdelningen för Databas- och Informationsteknik (ADIT) Agenda A couple of examples of network protocols that

More information

ANTIVIRUS BEST PRACTICES

ANTIVIRUS BEST PRACTICES ANTIVIRUS BEST PRACTICES Antivirus Best Practices 1. Introduction This guideline covers the basics on Antivirus Software and its best practices. It will help to have an overall understanding of the subject

More information

CSCI 4250/6250 Fall 2015 Computer and Networks Security

CSCI 4250/6250 Fall 2015 Computer and Networks Security CSCI 4250/6250 Fall 2015 Computer and Networks Security Network Security Goodrich, Chapter 5-6 Tunnels } The contents of TCP packets are not normally encrypted, so if someone is eavesdropping on a TCP

More information

Flashback: Internet design goals. Security Part Two: Attacks and Countermeasures. Security Vulnerabilities. Why did they leave it out?

Flashback: Internet design goals. Security Part Two: Attacks and Countermeasures. Security Vulnerabilities. Why did they leave it out? Flashback: Internet design goals Security Part Two: Attacks and Countermeasures 1. Interconnection 2. Failure resilience 3. Multiple types of service 4. Variety of networks 5. Management of resources 6.

More information

Intruders and viruses. 8: Network Security 8-1

Intruders and viruses. 8: Network Security 8-1 Intruders and viruses 8: Network Security 8-1 Intrusion Detection Systems Firewalls allow traffic only to legitimate hosts and services Traffic to the legitimate hosts/services can have attacks CodeReds

More information

Tespok Kenya icsirt: Enterprise Cyber Threat Attack Targets Report

Tespok Kenya icsirt: Enterprise Cyber Threat Attack Targets Report Tespok Kenya icsirt: Enterprise Cyber Threat Attack Targets Report About this Report This report was compiled and published by the Tespok icsirt in partnership with the Serianu Cyber Threat Intelligence

More information

Computer Worm Attack Using IDS and Trace Back Approaches

Computer Worm Attack Using IDS and Trace Back Approaches Computer Worm Attack Using IDS and Trace Back Approaches Sanjay Misra and Akuboh Victor Uneojo Abstract Computer worms pose a great threat to business enterprise, large/small organization, government agencies

More information

NEW JERSEY STATE POLICE EXAMPLES OF CRIMINAL INTENT

NEW JERSEY STATE POLICE EXAMPLES OF CRIMINAL INTENT Appendix A to 11-02-P1-NJOIT NJ OFFICE OF INFORMATION TECHNOLOGY P.O. Box 212 www.nj.gov/it/ps/ 300 Riverview Plaza Trenton, NJ 08625-0212 NEW JERSEY STATE POLICE EXAMPLES OF CRIMINAL INTENT The Intent

More information

A Firewall Network System for Worm Defense in Enterprise Networks

A Firewall Network System for Worm Defense in Enterprise Networks 1 A Firewall Network System for Worm Defense in Enterprise Networks Cliff C. Zou, Don Towsley, Weibo Gong {czou,gong}@ecs.umass.edu, towsley@cs.umass.edu Univ. Massachusetts, Amherst Technical Report:

More information

Network Penetration Testing and Ethical Hacking Scanning/Penetration Testing. SANS Security 560.2. Sans Mentor: Daryl Fallin

Network Penetration Testing and Ethical Hacking Scanning/Penetration Testing. SANS Security 560.2. Sans Mentor: Daryl Fallin Network Penetration Testing and Ethical Hacking Scanning/Penetration Testing SANS Security 560.2 Sans Mentor: Daryl Fallin http://www.sans.org/info/55868 Copyright 2010, All Rights Reserved Version 4Q10

More information

WORM vs. WORM: Preliminary Study of an Active Counter-Attack Mechanism

WORM vs. WORM: Preliminary Study of an Active Counter-Attack Mechanism WORM vs. WORM: Preliminary Study of an Active Counter-Attack Mechanism Frank Castañeda castanef@us.ibm.com Pervasive Computing Division IBM Software Group Emre Can Sezer ecsezer@ncsu.edu Jun Xu jxu3@ncsu.edu

More information

SECURING APACHE : DOS & DDOS ATTACKS - II

SECURING APACHE : DOS & DDOS ATTACKS - II SECURING APACHE : DOS & DDOS ATTACKS - II How DDoS attacks are performed A DDoS attack has to be carefully prepared by the attackers. They first recruit the zombie army, by looking for vulnerable machines,

More information

Network Service, Systems and Data Communications Monitoring Policy

Network Service, Systems and Data Communications Monitoring Policy Network Service, Systems and Data Communications Monitoring Policy Purpose This Policy defines the environment and circumstances under which Network Service, Systems and Data Communications Monitoring

More information

Network Instruments white paper

Network Instruments white paper Network Instruments white paper USING A NETWORK ANALYZER AS A SECURITY TOOL Network Analyzers are designed to watch the network, identify issues and alert administrators of problem scenarios. These features

More information

Internet Firewall CSIS 4222. Packet Filtering. Internet Firewall. Examples. Spring 2011 CSIS 4222. net15 1. Routers can implement packet filtering

Internet Firewall CSIS 4222. Packet Filtering. Internet Firewall. Examples. Spring 2011 CSIS 4222. net15 1. Routers can implement packet filtering Internet Firewall CSIS 4222 A combination of hardware and software that isolates an organization s internal network from the Internet at large Ch 27: Internet Routing Ch 30: Packet filtering & firewalls

More information

Lecture 13 - Network Security

Lecture 13 - Network Security Lecture 13 - Network Security CSE497b - Spring 2007 Introduction Computer and Network Security Professor Jaeger www.cse.psu.edu/~tjaeger/cse497b-s07/ Exploiting the network... The Internet is extremely

More information

Computer Worms: Architectures, Evasion Strategies, and Detection Mechanisms

Computer Worms: Architectures, Evasion Strategies, and Detection Mechanisms Journal of Information Assurance and Security 4 (2009) 69-83 Computer Worms: Architectures, Evasion Strategies, and Detection Mechanisms Craig Smith, Ashraf Matrawy Department of Systems and Computer Engineering,

More information

BlackRidge Technology Transport Access Control: Overview

BlackRidge Technology Transport Access Control: Overview 2011 BlackRidge Technology Transport Access Control: Overview 1 Introduction Enterprises and government agencies are under repeated cyber attack. Attacks range in scope from distributed denial of service

More information

DDos. Distributed Denial of Service Attacks. by Mark Schuchter

DDos. Distributed Denial of Service Attacks. by Mark Schuchter DDos Distributed Denial of Service Attacks by Mark Schuchter Overview Introduction Why? Timeline How? Typical attack (UNIX) Typical attack (Windows) Introduction limited and consumable resources (memory,

More information

Multifaceted Approach to Understanding the Botnet Phenomenon

Multifaceted Approach to Understanding the Botnet Phenomenon Multifaceted Approach to Understanding the Botnet Phenomenon Christos P. Margiolas University of Crete A brief presentation for the paper: Multifaceted Approach to Understanding the Botnet Phenomenon Basic

More information

A Critical Investigation of Botnet

A Critical Investigation of Botnet Global Journal of Computer Science and Technology Network, Web & Security Volume 13 Issue 9 Version 1.0 Year 2013 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals

More information

Security Engineering Part III Network Security. Intruders, Malware, Firewalls, and IDSs

Security Engineering Part III Network Security. Intruders, Malware, Firewalls, and IDSs Security Engineering Part III Network Security Intruders, Malware, Firewalls, and IDSs Juan E. Tapiador jestevez@inf.uc3m.es Department of Computer Science, UC3M Security Engineering 4th year BSc in Computer

More information

Modern Denial of Service Protection

Modern Denial of Service Protection Modern Denial of Service Protection What is a Denial of Service Attack? A Denial of Service (DoS) attack is generally defined as a network-based attack that disables one or more resources, such as a network

More information

Firewalls, Tunnels, and Network Intrusion Detection. Firewalls

Firewalls, Tunnels, and Network Intrusion Detection. Firewalls Firewalls, Tunnels, and Network Intrusion Detection 1 Firewalls A firewall is an integrated collection of security measures designed to prevent unauthorized electronic access to a networked computer system.

More information

Security of IPv6 and DNSSEC for penetration testers

Security of IPv6 and DNSSEC for penetration testers Security of IPv6 and DNSSEC for penetration testers Vesselin Hadjitodorov Master education System and Network Engineering June 30, 2011 Agenda Introduction DNSSEC security IPv6 security Conclusion Questions

More information

Attack and Defense Techniques

Attack and Defense Techniques Network Security Attack and Defense Techniques Anna Sperotto, Ramin Sadre Design and Analysis of Communication Networks (DACS) University of Twente The Netherlands Attack Taxonomy Many different kind of

More information

SY0-201. system so that an unauthorized individual can take over an authorized session, or to disrupt service to authorized users.

SY0-201. system so that an unauthorized individual can take over an authorized session, or to disrupt service to authorized users. system so that an unauthorized individual can take over an authorized session, or to disrupt service to authorized users. From a high-level standpoint, attacks on computer systems and networks can be grouped

More information

Configuring Allied Telesyn Equipment to Counter Nimda Attacks

Configuring Allied Telesyn Equipment to Counter Nimda Attacks Configuring Allied Telesyn Equipment to Counter Nimda Attacks A guide to configuring Allied Telesyn routers and Layer 3 switches to protect your network from attack. What is Nimda and Why is it a Threat?

More information

Reduce Your Virus Exposure with Active Virus Protection

Reduce Your Virus Exposure with Active Virus Protection Reduce Your Virus Exposure with Active Virus Protection Executive Summary Viruses are the leading Internet security threat facing businesses of all sizes. Viruses spread faster and cause more damage than

More information

Why Leaks Matter. Leak Detection and Mitigation as a Critical Element of Network Assurance. A publication of Lumeta Corporation www.lumeta.

Why Leaks Matter. Leak Detection and Mitigation as a Critical Element of Network Assurance. A publication of Lumeta Corporation www.lumeta. Why Leaks Matter Leak Detection and Mitigation as a Critical Element of Network Assurance A publication of Lumeta Corporation www.lumeta.com Table of Contents Executive Summary Defining a Leak How Leaks

More information

Email David-Kovarik@northwestern.edu Phone 847-467-5930 Fax 847-467-6000

Email David-Kovarik@northwestern.edu Phone 847-467-5930 Fax 847-467-6000 Information Technology Information and Systems Security/Compliance Northwestern University 1800 Sherman Av Suite 209 Evanston, IL 60201 Email David-Kovarik@northwestern.edu Phone 847-467-5930 Fax 847-467-6000

More information

Security Issues with Distributed Web Applications

Security Issues with Distributed Web Applications Security Issues with Distributed Web Applications Device Connectivity We are entering the era of Device Connectivity, which is the fourth wave of evolution for Internet-enabled applications. The first

More information

Second-generation (GenII) honeypots

Second-generation (GenII) honeypots Second-generation (GenII) honeypots Bojan Zdrnja CompSci 725, University of Auckland, Oct 2004. b.zdrnja@auckland.ac.nz Abstract Honeypots are security resources which trap malicious activities, so they

More information

DoS/DDoS Attacks and Protection on VoIP/UC

DoS/DDoS Attacks and Protection on VoIP/UC DoS/DDoS Attacks and Protection on VoIP/UC Presented by: Sipera Systems Agenda What are DoS and DDoS Attacks? VoIP/UC is different Impact of DoS attacks on VoIP Protection techniques 2 UC Security Requirements

More information

Botnets. Botnets and Spam. Joining the IRC Channel. Command and Control. Tadayoshi Kohno

Botnets. Botnets and Spam. Joining the IRC Channel. Command and Control. Tadayoshi Kohno CSE 490K Lecture 14 Botnets and Spam Tadayoshi Kohno Some slides based on Vitaly Shmatikov s Botnets! Botnet = network of autonomous programs capable of acting on instructions Typically a large (up to

More information

Overview of Attack Trends

Overview of Attack Trends Overview of Attack Trends CERT Coordination Center The CERT Coordination Center has been observing intruder activity since 1988. Much has changed since then, from our technology to the makeup of the Internet

More information

CS5008: Internet Computing

CS5008: Internet Computing CS5008: Internet Computing Lecture 22: Internet Security A. O Riordan, 2009, latest revision 2015 Internet Security When a computer connects to the Internet and begins communicating with others, it is

More information

EU FP6 LOBSTER. personal view on the future of ero-day Worm Containment. European Infrastructure for accurate network monitoring

EU FP6 LOBSTER. personal view on the future of ero-day Worm Containment. European Infrastructure for accurate network monitoring EU FP6 LOBSTER European Infrastructure for accurate network monitoring personal view on the future of ero-day Worm Containment Herbert Bos Vrije Universiteit Amsterdam herbertb _AT_ cs.vu.nl 1 What is

More information

Koobface on Facebook: How malicious contents sneak into social networking. Mohammad Reza Faghani

Koobface on Facebook: How malicious contents sneak into social networking. Mohammad Reza Faghani Koobface on Facebook: How malicious contents sneak into social networking Mohammad Reza Faghani Outline Introduction Trend of Web malware Social networks malware What is XSS!? Potentials of XSS Worms Social

More information

Wharf T&T Limited DDoS Mitigation Service Customer Portal User Guide

Wharf T&T Limited DDoS Mitigation Service Customer Portal User Guide Table of Content I. Note... 1 II. Login... 1 III. Real-time, Daily and Monthly Report... 3 Part A: Real-time Report... 3 Part 1: Traffic Details... 4 Part 2: Protocol Details... 5 Part B: Daily Report...

More information

[index] this is the procedure of my presentation

[index] this is the procedure of my presentation [main] Hello, My name is Kanghyo Lee, I m a member of infosec. Today, I am here to present about A taxonomy of DDoS attack and DDoS defense mechanisms. [index] this is the procedure of my presentation

More information

JK0 015 CompTIA E2C Security+ (2008 Edition) Exam

JK0 015 CompTIA E2C Security+ (2008 Edition) Exam JK0 015 CompTIA E2C Security+ (2008 Edition) Exam Version 4.1 QUESTION NO: 1 Which of the following devices would be used to gain access to a secure network without affecting network connectivity? A. Router

More information

DDoS Vulnerability Analysis of Bittorrent Protocol

DDoS Vulnerability Analysis of Bittorrent Protocol DDoS Vulnerability Analysis of Bittorrent Protocol Ka Cheung Sia kcsia@cs.ucla.edu Abstract Bittorrent (BT) traffic had been reported to contribute to 3% of the Internet traffic nowadays and the number

More information