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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 -
An Introduction to Malware
Downloaded from orbit.dtu.dk on: Sep 24, 2021 An Introduction to Malware Sharp, Robin Publication date: 2017 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Sharp, R. (2017). An Introduction to Malware. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. An Introduction to Malware Robin Sharp DTU Compute Spring 2017 Abstract These notes, written for use in DTU course 02233 on Network Security, give a short introduction to the topic of malware. The most important types of malware are described, together with their basic principles of operation and dissemination, and defenses against malware are discussed. Contents 1 Some Definitions............................2 2 Classification of Malware........................2 3 Vira..................................3 4 Worms................................ -
Detecting Botnets Using File System Indicators
Detecting botnets using file system indicators Master's thesis University of Twente Author: Committee members: Peter Wagenaar Prof. Dr. Pieter H. Hartel Dr. Damiano Bolzoni Frank Bernaards LLM (NHTCU) December 12, 2012 Abstract Botnets, large groups of networked zombie computers under centralised control, are recognised as one of the major threats on the internet. There is a lot of research towards ways of detecting botnets, in particular towards detecting Command and Control servers. Most of the research is focused on trying to detect the commands that these servers send to the bots over the network. For this research, we have looked at botnets from a botmaster's perspective. First, we characterise several botnet enhancing techniques using three aspects: resilience, stealth and churn. We see that these enhancements are usually employed in the network communications between the C&C and the bots. This leads us to our second contribution: we propose a new botnet detection method based on the way C&C's are present on the file system. We define a set of file system based indicators and use them to search for C&C's in images of hard disks. We investigate how the aspects resilience, stealth and churn apply to each of the indicators and discuss countermeasures botmasters could take to evade detection. We validate our method by applying it to a test dataset of 94 disk images, 16 of which contain C&C installations, and show that low false positive and false negative ratio's can be achieved. Approaching the botnet detection problem from this angle is novel, which provides a basis for further research. -
Symantec Intelligence Report: June 2011
Symantec Intelligence Symantec Intelligence Report: June 2011 Three-quarters of spam send from botnets in June, and three months on, Rustock botnet remains dormant as Cutwail becomes most active; Pharmaceutical spam in decline as new Wiki- pharmacy brand emerges Welcome to the June edition of the Symantec Intelligence report, which for the first time combines the best research and analysis from the Symantec.cloud MessageLabs Intelligence Report and the Symantec State of Spam & Phishing Report. The new integrated report, the Symantec Intelligence Report, provides the latest analysis of cyber security threats, trends and insights from the Symantec Intelligence team concerning malware, spam, and other potentially harmful business risks. The data used to compile the analysis for this combined report includes data from May and June 2011. Report highlights Spam – 72.9% in June (a decrease of 2.9 percentage points since May 2011): page 11 Phishing – One in 330.6 emails identified as phishing (a decrease of 0.05 percentage points since May 2011): page 14 Malware – One in 300.7 emails in June contained malware (a decrease of 0.12 percentage points since May 2011): page 15 Malicious Web sites – 5,415 Web sites blocked per day (an increase of 70.8% since May 2011): page 17 35.1% of all malicious domains blocked were new in June (a decrease of 1.7 percentage points since May 2011): page 17 20.3% of all Web-based malware blocked was new in June (a decrease of 4.3 percentage points since May 2011): page 17 Review of Spam-sending botnets in June 2011: page 3 Clicking to Watch Videos Leads to Pharmacy Spam: page 6 Wiki for Everything, Even for Spam: page 7 Phishers Return for Tax Returns: page 8 Fake Donations Continue to Haunt Japan: page 9 Spam Subject Line Analysis: page 12 Best Practices for Enterprises and Users: page 19 Introduction from the editor Since the shutdown of the Rustock botnet in March1, spam volumes have never quite recovered as the volume of spam in global circulation each day continues to fluctuate, as shown in figure 1, below. -
The Trojan Wars: Building the Big Picture to Combat Efraud
THE TROJAN WARS: BUILDING THE BIG PICTURE TO COMBAT EFRAUD MNEMONIC THREAT INTELLIGENCE UNIT White Paper TABLE OF CONTENTS INTRODUCTION ................................................................................3 THE INITIAL TORPIG CAMPAIGN ......................................................4 • Infection Cycles ..........................................................................................5 • Ice IX – Downloading Torpig and Pushdo ...................................................6 • Torpig Campaign C&C infrastructure ..........................................................9 • Ice IX Takedown Avoidance Technique .......................................................10 THE FOLLOW-ON P2P ZEUS CAMPAIGN ..........................................11 • Infection Cycles ...........................................................................................12 • Neurevt – Downloading P2P Zeus ..............................................................13 THE WAY FORWARD: CONCLUSIONS AND RECOMMENDATIONS ....14 ABOUT MNEMONIC ..........................................................................15 REFERENCES ...................................................................................16 THE TROJAN WARS - BUILDING THE BIG PICTURE TO COMBAT EFRAUD MNEMONIC AS INTRODUCTION Trojans are a very sophisticated type of malware and their use by cybercriminals to perform widespread eFraud is now well established. They are rarely operated in a standalone mode and the infrastructure used to spread and maintain Trojans is -
Downloading and Running
City Research Online City, University of London Institutional Repository Citation: Meng, X. (2018). An integrated networkbased mobile botnet detection system. (Unpublished Doctoral thesis, City, Universtiy of London) This is the accepted version of the paper. This version of the publication may differ from the final published version. Permanent repository link: https://openaccess.city.ac.uk/id/eprint/19840/ Link to published version: Copyright: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs from City Research Online may be freely distributed and linked to. Reuse: Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. City Research Online: http://openaccess.city.ac.uk/ [email protected] AN INTEGRATED NETWORK- BASED MOBILE BOTNET DETECTION SYSTEM Xin Meng Department of Computer Science City, University of London This dissertation is submitted for the degree of Doctor of Philosophy City University London June 2017 Declaration I hereby declare that except where specific reference is made to the work of others, the contents of this dissertation are original and have not been submitted in whole or in part for consideration for any other degree or qualification in this, or any other University. This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration, except where specifically indicated in the text. -
S Ym a Nte C Enterpris E S E CU Rit Y Symantec Global Internet Security
ublished April 2009 P V, V, I rends for 2008 Volume X Volume Symantec Symantec Global Internet Security Threat Report T SYMANTEC ENTERPRISE SECURITY Marc Fossi Executive Editor Manager, Development Security Technology and Response Eric Johnson Editor Security Technology and Response Trevor Mack Associate Editor Security Technology and Response Dean Turner Director, Global Intelligence Network Security Technology and Response Joseph Blackbird Threat Analyst Symantec Security Response Mo King Low Threat Analyst Security Technology and Response Teo Adams Threat Analyst Security Technology and Response David McKinney Threat Analyst Security Technology and Response Stephen Entwisle Threat Analyst Security Technology and Response Marika Pauls Laucht Threat Analyst Security Technology and Response Candid Wueest Threat Analyst Security Technology and Response Paul Wood Senior Analyst MessageLabs Intelligence, Symantec Dan Bleaken Threat Analyst MessageLabs Intelligence, Symantec Greg Ahmad Threat Analyst Security Technology and Response Darren Kemp Threat Analyst Security Technology and Response Ashif Samnani Threat Analyst Security Technology and Response Volume XIV, Published April 2009 Symantec Global Internet Security Threat Report Contents Introduction ...............................................................................4 Executive Summary . 5 Highlights ............................................................................... 13 Threat Activity Trends . 17 Vulnerability Trends ..................................................................... -
FORECAST – Skimming Off the Malware Cream
FORECAST – Skimming off the Malware Cream Matthias Neugschwandtner1, Paolo Milani Comparetti1, Gregoire Jacob2, and Christopher Kruegel2 1Vienna University of Technology, {mneug,pmilani}@seclab.tuwien.ac.at 2University of California, Santa Barbara, {gregoire,chris}@cs.ucsb.edu ABSTRACT Malware commonly employs various forms of packing and ob- To handle the large number of malware samples appearing in the fuscation to resist static analysis. Therefore, the most widespread wild each day, security analysts and vendors employ automated approach to the analysis of malware samples is currently based on tools to detect, classify and analyze malicious code. Because mal- executing the malicious code in a controlled environment to ob- ware is typically resistant to static analysis, automated dynamic serve its behavior. Dynamic analysis tools such as CWSandbox [3], analysis is widely used for this purpose. Executing malicious soft- Norman Sandbox and Anubis [13, 2] execute a malware sample in ware in a controlled environment while observing its behavior can an instrumented sandbox and record its interactions with system provide rich information on a malware’s capabilities. However, and network resources. This information can be distilled into a running each malware sample even for a few minutes is expensive. human-readable report that provides an analyst with a high level For this reason, malware analysis efforts need to select a subset of view of a sample’s behavior, but it can also be fed as input to fur- samples for analysis. To date, this selection has been performed ei- ther automatic analysis tasks. Execution logs and network traces ther randomly or using techniques focused on avoiding re-analysis provided by dynamic analysis have been used to classify malware of polymorphic malware variants [41, 23]. -
Microsoft | Security Intelligence Report
Battling Botnets for Control of Computers Microsoft | Security Intelligence Report Volume 9 January through June 2010 Microsoft | Security Intelligence Report Microsoft Security Intelligence Report This document is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED, OR STATUTORY, AS TO THE INFORMA- TION IN THIS DOCUMENT. This document is provided “as-is.” Information and views expressed in this document, including URL and other Internet Web site references, may change without notice. You bear the risk of using it. Copyright © 2010 Microsoft Corporation. All rights reserved. The names of actual companies and products mentioned herein may be the trademarks of their respective owners. 2 January through June 2010 Authors David Anselmi Jimmy Kuo Navaneethan Santhanam Digital Crimes Unit Microsoft Malware Protection Center Bing Richard Boscovich Scott Molenkamp Christian Seifert Digital Crimes Unit Microsoft Malware Protection Center Bing T.J. Campana Michelle Meyer Frank Simorjay Digital Crimes Unit Microsoft Trustworthy Computing Microsoft Trustworthy Computing Neil Carpenter Bala Neerumalla Holly Stewart CSS Security Microsoft Secure SQL Initiative Team Microsoft Malware Protection Center Greg Cottingham Daryl Pecelj Adrian Stone CSS Security Microsoft IT Information Security and Risk Management Microsoft Security Response Center Joe Faulhaber Anthony Penta Matt Thomlinson Microsoft Malware Protection Center Microsoft Windows Safety Platform Microsoft Security Response Center Vinny Gullotto Paul Pottorff Jossie -
YOUR BABY MONITOR IS ATTACKING the GOVERNMENT a Perspective on Security Risks Today and a Look Towards the Future
YOUR BABY MONITOR IS ATTACKING THE GOVERNMENT A perspective on security risks today and a look towards the future Nick McKerrall | Threat Prevention Team ©2016 Check Point Software Technologies Ltd. 1 2016 Statistics 5.5 million “things” are getting connected 75% of the to the internet every organizations we day perform security checkups on have machines infected Every 32 minutes – Sensitive with bots data is sent outside the org Every 5 seconds – a host Every 4 minutes - a high accesses a malicious risk application is used website ©2016 Check Point Software Technologies Ltd. September 2016 World Cyber Threat Map Green – Low Risk Beige – Medium Pink – Higher Red – Highest White – Insufficient Data RED: Bolivia, Angola, Zambia, Botswana, Uganda, Mongolia, Sri Lanka, Vietnam ©2016 Check Point Software Technologies Ltd. 3 September 2016 ‘Most Wanted’ Malware 1. Conficker Worm – Botnet 2. Sality – Remote Access and Control 3. Locky – Ransomware (via mostly email) 4. Cutwail – Botnet (Spam/DDoS) 5. Zeus – Banking Trojan 6. Chanitor – Downloader 7. Tinba – Banking Trojan 8. Cryptowall – Ransomware (via exploit kits and phishing) 9. Blackhole – Exploit kit 10. Nivdort (Bayrob) – Multipurpose bot September 2016 ‘Mobile Most Wanted’ Malware 1. HummingBad – Android Rootkit 2. Triada – Android Backdoor 3. Ztorg - Application Dropper ©2016 Check Point Software Technologies Ltd. 4 The threat landscape is changing You need to dynamically adjust to new threat sources Attacks change geography all the time Malware is changing constantly Both in signature/variant and purpose We are seeing new levels of sophistication Malware is becoming big business Our approach to protecting networks needs to change ©2016 Check Point Software Technologies Ltd. -
SHS Branding LAUNCH
MESSAGELABS INTELLIGENCE MESSAGELABS INTELLIGENCE FEBRUARY 2010 Spam Surges in February while Message Size Shrinks Welcome to the February edition of the MessageLabs Intelligence monthly report. This report provides the latest threat trends for February 2010 to keep you informed regarding the ongoing fight against viruses, spam and other unwelcome content. REPORT HIGHLIGHTS Spam – 89.4% in February (an increase of 5.5% since January) Viruses – One in 302.8 emails in February contained malware (an increase of 0.02% since January) Phishing – One in 456.3 emails comprised a phishing attack (an increase of 0.04% since January) Malicious websites – 4,998 websites blocked per day (an increase of 184% since January) 41.6% of all malicious domains blocked were new in February (a decrease of 0.1% since January) 13.3 of all web-based malware blocked was new in February (an increase of 1.2% since January) Grum and Rustock to Blame for February Spam Surge While Volume Grows, Spam File Size Shrinks Waledac Botnet Makes a Comeback before its Demise Olympics-Themed Targeted Malware Gumblar Update REPORT ANALYSIS Grum and Rustock to Blame for Surge in February Spam As expected this time of year, spammers launched a number of spam campaigns related to St. Valentine‟s Day, celebrated on February 14. Around this time, spammers often change their spam runs to include references to the special date. However, the 5.5% increase in spam this month cannot be completely blamed on St. Valentine‟s Day alone. Figure 1 highlights the most recent spam surges in February, and further analysis reveals the underlying cause of these increases. -
The Underground Economy of Spam: a Botmaster’S Perspective of Coordinating Large-Scale Spam Campaigns
The Underground Economy of Spam: A Botmaster’s Perspective of Coordinating Large-Scale Spam Campaigns Brett Stone-Grossx;?, Thorsten Holzz;?, Gianluca Stringhinix, and Giovanni Vignax;? xUniversity of California, Santa Barbara z Ruhr-University Bochum fbstone,gianluca,[email protected] [email protected] ? LastLine, Inc., Santa Barbara CA 93111, USA fbrett,tho,[email protected] Abstract under their control. According to a recent study by Spam accounts for a large portion of the email exchange Symantec, more than 89% of all email messages on the on the Internet. In addition to being a nuisance and Internet were attributed to spam in the year 2010. Fur- a waste of costly resources, spam is used as a deliv- thermore, about 88% of these spam messages were sent ery mechanism for many criminal scams and large-scale with the help of botnets [12]. This huge percentage of compromises. Most of this spam is sent using botnets, botnet-related spam is due to several advantages that a which are often rented for a fee to criminal organizations. botnet can provide with respect to other kinds of spam Even though there has been a considerable corpus of re- delivery mechanisms. First, since a botnet operates as a search focused on combating spam and analyzing spam- distributed system where each infected machine receives related botnets, most of these efforts have had a limited a subset of the overall tasks, the amount of resources re- view of the entire spamming process. quired by the spam operator is greatly reduced. This in- In this paper, we present a comprehensive analysis of a creases the effective throughput, as the bots perform the large-scale botnet from the botmaster’s perspective, that majority of the work on their own.