Iptrust Botnet / Malware Dictionary This List Shows the Most Common Botnet and Malware Variants Tracked by Iptrust
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The Downadup Codex a Comprehensive Guide to the Threat’S Mechanics
Security Response The Downadup Codex A comprehensive guide to the threat’s mechanics. Edition 2.0 Introduction Contents Introduction.............................................................1 Since its appearance in late-2008, the Downadup worm has become Editor’s Note............................................................5 one of the most wide-spread threats to hit the Internet for a number of Increase in exploit attempts against MS08-067.....6 years. A complex piece of malicious code, this threat was able to jump W32.Downadup infection statistics.........................8 certain network hurdles, hide in the shadows of network traffic, and New variants of W32.Downadup.B find new ways to propagate.........................................10 defend itself against attack with a deftness not often seen in today’s W32.Downadup and W32.Downadup.B threat landscape. Yet it contained few previously unseen features. What statistics................................................................12 set it apart was the sheer number of tricks it held up its sleeve. Peer-to-peer payload distribution...........................15 Geo-location, fingerprinting, and piracy...............17 It all started in late-October of 2008, we began to receive reports of A lock with no key..................................................19 Small improvements yield big returns..................21 targeted attacks taking advantage of an as-yet unknown vulnerability Attempts at smart network scanning...................23 in Window’s remote procedure call (RPC) service. Microsoft quickly Playing with Universal Plug and Play...................24 released an out-of-band security patch (MS08-067), going so far as to Locking itself out.................................................27 classify the update as “critical” for some operating systems—the high- A new Downadup variant?......................................29 Advanced crypto protection.................................30 est designation for a Microsoft Security Bulletin. -
Post-Mortem of a Zombie: Conficker Cleanup After Six Years Hadi Asghari, Michael Ciere, and Michel J.G
Post-Mortem of a Zombie: Conficker Cleanup After Six Years Hadi Asghari, Michael Ciere, and Michel J.G. van Eeten, Delft University of Technology https://www.usenix.org/conference/usenixsecurity15/technical-sessions/presentation/asghari This paper is included in the Proceedings of the 24th USENIX Security Symposium August 12–14, 2015 • Washington, D.C. ISBN 978-1-939133-11-3 Open access to the Proceedings of the 24th USENIX Security Symposium is sponsored by USENIX Post-Mortem of a Zombie: Conficker Cleanup After Six Years Hadi Asghari, Michael Ciere and Michel J.G. van Eeten Delft University of Technology Abstract more sophisticated C&C mechanisms that are increas- ingly resilient against takeover attempts [30]. Research on botnet mitigation has focused predomi- In pale contrast to this wealth of work stands the lim- nantly on methods to technically disrupt the command- ited research into the other side of botnet mitigation: and-control infrastructure. Much less is known about the cleanup of the infected machines of end users. Af- effectiveness of large-scale efforts to clean up infected ter a botnet is successfully sinkholed, the bots or zom- machines. We analyze longitudinal data from the sink- bies basically remain waiting for the attackers to find hole of Conficker, one the largest botnets ever seen, to as- a way to reconnect to them, update their binaries and sess the impact of what has been emerging as a best prac- move the machines out of the sinkhole. This happens tice: national anti-botnet initiatives that support large- with some regularity. The recent sinkholing attempt of scale cleanup of end user machines. -
Internet Security Threat Report Volume 24 | February 2019
ISTRInternet Security Threat Report Volume 24 | February 2019 THE DOCUMENT IS PROVIDED “AS IS” AND ALL EXPRESS OR IMPLIED CONDITIONS, REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE DISCLAIMED, EXCEPT TO THE EXTENT THAT SUCH DISCLAIMERS ARE HELD TO BE LEGALLY INVALID. SYMANTEC CORPORATION SHALL NOT BE LIABLE FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES IN CONNECTION WITH THE FURNISHING, PERFORMANCE, OR USE OF THIS DOCUMENT. THE INFORMATION CONTAINED IN THIS DOCUMENT IS SUBJECT TO CHANGE WITHOUT NOTICE. INFORMATION OBTAINED FROM THIRD PARTY SOURCES IS BELIEVED TO BE RELIABLE, BUT IS IN NO WAY GUARANTEED. SECURITY PRODUCTS, TECHNICAL SERVICES, AND ANY OTHER TECHNICAL DATA REFERENCED IN THIS DOCUMENT (“CONTROLLED ITEMS”) ARE SUBJECT TO U.S. EXPORT CONTROL AND SANCTIONS LAWS, REGULATIONS AND REQUIREMENTS, AND MAY BE SUBJECT TO EXPORT OR IMPORT REGULATIONS IN OTHER COUNTRIES. YOU AGREE TO COMPLY STRICTLY WITH THESE LAWS, REGULATIONS AND REQUIREMENTS, AND ACKNOWLEDGE THAT YOU HAVE THE RESPONSIBILITY TO OBTAIN ANY LICENSES, PERMITS OR OTHER APPROVALS THAT MAY BE REQUIRED IN ORDER FOR YOU TO EXPORT, RE-EXPORT, TRANSFER IN COUNTRY OR IMPORT SUCH CONTROLLED ITEMS. TABLE OF CONTENTS 1 2 3 BIG NUMBERS YEAR-IN-REVIEW FACTS AND FIGURES METHODOLOGY Formjacking Messaging Cryptojacking Malware Ransomware Mobile Living off the land Web attacks and supply chain attacks Targeted attacks Targeted attacks IoT Cloud Underground economy IoT Election interference MALICIOUS -
Synthesizing Near-Optimal Malware Specifications from Suspicious
Synthesizing Near-Optimal Malware Specifications from Suspicious Behaviors Somesh Jha∗, Matthew Fredrikson∗, Mihai Christodoresu†, Reiner Sailer‡, Xifeng Yan§ ∗University of Wisconsin–Madison, †Qualcomm Research Silicon Valley, ‡IBM T.J Watson Research Center, §University of California–Santa Barbara Abstract—Behavior-based detection techniques are a promis- and errors. ing solution to the problem of malware proliferation. However, We make the observation that behavioral specifications they require precise specifications of malicious behavior that do not result in an excessive number of false alarms, while still are best viewed as a form of discriminative specification.A remaining general enough to detect new variants before tradi- discriminative specification describes the unique properties tional signatures can be created and distributed. In this paper, of a given class, in contrast to the properties exhibited by we present an automatic technique for extracting optimally discriminative specifications a second mutually-exclusive class. This paper presents an , which uniquely identify a class automated technique that combines program analysis, graph of programs. Such a discriminative specification can be used by a behavior-based malware detector. Our technique, based mining, and stochastic optimization to synthesize malware on graph mining and stochastic optimization, scales to large behavior specifications. We represent program behaviors as classes of programs. When this work was originally published, graphs that are mined for discriminative patterns. As there the technique yielded favorable results on malware targeted are many ways in which malware can accomplish the same towards workstations (~86% detection rates on new malware). goal, we use these patterns as building blocks for construct- We believe that it can be brought to bear on emerging malware- based threats for new platforms, and discuss several promising ing discriminative specifications that are general across vari- avenues for future work in this direction. -
1.Computer Virus Reported (1) Summary for This Quarter
Attachment 1 1.Computer Virus Reported (1) Summary for this Quarter The number of the cases reported for viruses*1 in the first quarter of 2013 decreased from that of the fourth quarter of 2012 (See Figure 1-1). As for the number of the viruses detected*2 in the first quarter of 2013, W32/Mydoom accounted for three-fourths of the total (See Figure 1-2). Compared to the fourth quarter of 2012, however, both W32/Mydoom and W32/Netsky showed a decreasing trend. When we looked into the cases reported for W32/Netsky, we found that in most of those cases, the virus code had been corrupted, for which the virus was unable to carry out its infection activity. So, it is unlikely that the number of cases involving this virus will increase significantly in the future As for W32/IRCbot, it has greatly decreased from the level of the fourth quarter of 2012. W32/IRCbot carries out infection activities by exploiting vulnerabilities within Windows or programs, and is often used as a foothold for carrying out "Targeted Attack". It is likely that that there has been a shift to attacks not using this virus. XM/Mailcab is a mass-mailing type virus that exploits mailer's address book and distributes copies of itself. By carelessly opening this type of email attachment, the user's computer is infected and if the number of such users increases, so will the number of the cases reported. As for the number of the malicious programs detected in the first quarter of 2013, Bancos, which steals IDs/Passwords for Internet banking, Backdoor, which sets up a back door on the target PC, and Webkit, which guides Internet users to a maliciously-crafted Website to infect with another virus, were detected in large numbers. -
Cyber Warfare a “Nuclear Option”?
CYBER WARFARE A “NUCLEAR OPTION”? ANDREW F. KREPINEVICH CYBER WARFARE: A “NUCLEAR OPTION”? BY ANDREW KREPINEVICH 2012 © 2012 Center for Strategic and Budgetary Assessments. All rights reserved. About the Center for Strategic and Budgetary Assessments The Center for Strategic and Budgetary Assessments (CSBA) is an independent, nonpartisan policy research institute established to promote innovative thinking and debate about national security strategy and investment options. CSBA’s goal is to enable policymakers to make informed decisions on matters of strategy, secu- rity policy and resource allocation. CSBA provides timely, impartial, and insight- ful analyses to senior decision makers in the executive and legislative branches, as well as to the media and the broader national security community. CSBA encour- ages thoughtful participation in the development of national security strategy and policy, and in the allocation of scarce human and capital resources. CSBA’s analysis and outreach focus on key questions related to existing and emerging threats to US national security. Meeting these challenges will require transforming the national security establishment, and we are devoted to helping achieve this end. About the Author Dr. Andrew F. Krepinevich, Jr. is the President of the Center for Strategic and Budgetary Assessments, which he joined following a 21-year career in the U.S. Army. He has served in the Department of Defense’s Office of Net Assessment, on the personal staff of three secretaries of defense, the National Defense Panel, the Defense Science Board Task Force on Joint Experimentation, and the Defense Policy Board. He is the author of 7 Deadly Scenarios: A Military Futurist Explores War in the 21st Century and The Army and Vietnam. -
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 -
Using Malware's Self-Defence Mechanism to Harden
Using Malware’s Self-Defence Mechanism to Harden Defence and Remediation Tools Jonathan Pan Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore [email protected] Abstract— Malware are becoming a major problem to every them to completely bypass the protection of Firewall and individual and organization in the cyber world. They are Anti-Virus. According to Filiol [30], Malware detection is a advancing in sophistication in many ways. Besides their NP-hard problem. Besides the fact that these defences are advanced abilities to penetrate and stay evasive against detection becoming ineffective against Malware, these defences are also and remediation, they have strong resilience mechanisms that becoming victims of attacks by Malware as part of the latter’s are defying all attempts to eradicate them. Malware are also attacking defence of the systems and making them defunct. self-preservation strategy [21], [27]. The starting point of this When defences are brought down, the organisation or individual cyber problem with Malware is their ability to infiltrate. This will lose control over the IT assets and defend against the is typically done through the weakest link in the defence Malware perpetuators. In order to gain the capability to defend, strategy due to humans are involved. One went as far as to it is necessary to keep the defences or remediation tools active comment that it is people’s stupidity that led to security lapses and not defunct. Given that Malware have proven to be resilient [7]. Malware will inevitably infiltrate past the defences and against deployed defences and remediation tools, the proposed when they do, it is essential to quickly contain these Malware research advocates to utilize the techniques used by Malware to before they induce greater damages to the organizations. -
Generation of an Iot Botnet Dataset in a Medium-Sized Iot Network
MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network Alejandro Guerra-Manzanares a, Jorge Medina-Galindo, Hayretdin Bahsi b and Sven Nomm˜ c Department of Software Science, Tallinn University of Technology, Tallinn, Estonia falejandro.guerra, hayretdin.bahsi, [email protected], [email protected] Keywords: Botnet, Internet of Things, Dataset, Intrusion Detection, Anomaly Detection, IoT. Abstract: The exponential growth of the Internet of Things in conjunction with the traditional lack of security mecha- nisms and resource constraints associated with these devices have posed new risks and challenges to security in networks. IoT devices are compromised and used as amplification platforms by cyber-attackers, such as DDoS attacks. Machine learning-based intrusion detection systems aim to overcome network security lim- itations relying heavily on data quantity and quality. In the case of IoT networks these data are scarce and limited to small-sized networks. This research addresses this issue by providing a labelled behavioral IoT data set, which includes normal and actual botnet malicious network traffic, in a medium-sized IoT network infrastructure (83 IoT devices). Three prominent botnet malware are deployed and data from botnet infec- tion, propagation and communication with C&C stages are collected (Mirai, BashLite and Torii). Binary and multi-class machine learning classification models are run on the acquired data demonstrating the suitability and reliability of the generated data set for machine learning-based botnet detection IDS testing, design and deployment. The generated IoT behavioral data set is released publicly available as MedBIoT data set∗. 1 INTRODUCTION lam, 2017; Bosche et al., 2018; Pratt, 2019). -
Common Threats to Cyber Security Part 1 of 2
Common Threats to Cyber Security Part 1 of 2 Table of Contents Malware .......................................................................................................................................... 2 Viruses ............................................................................................................................................. 3 Worms ............................................................................................................................................. 4 Downloaders ................................................................................................................................... 6 Attack Scripts .................................................................................................................................. 8 Botnet ........................................................................................................................................... 10 IRCBotnet Example ....................................................................................................................... 12 Trojans (Backdoor) ........................................................................................................................ 14 Denial of Service ........................................................................................................................... 18 Rootkits ......................................................................................................................................... 20 Notices ......................................................................................................................................... -
Computer Security Fundamentals Third Edition
Computer Security Fundamentals Third Edition Chuck Easttom 800 East 96th Street, Indianapolis, Indiana 46240 USA Computer Security Fundamentals, Third Edition Executive Editor Brett Bartow Copyright © 2016 by Pearson Education, Inc. All rights reserved. No part of this book shall be reproduced, stored in a retrieval system, or Acquisitions Editor transmitted by any means, electronic, mechanical, photocopying, recording, or otherwise, Betsy Brown without written permission from the publisher. No patent liability is assumed with respect Development Editor to the use of the information contained herein. Although every precaution has been taken in Christopher Cleveland the preparation of this book, the publisher and author assume no responsibility for errors or omissions. Nor is any liability assumed for damages resulting from the use of the information Managing Editor contained herein. Sandra Schroeder ISBN-13: 978-0-7897-5746-3 ISBN-10: 0-7897-5746-X Senior Project Editor Tonya Simpson Library of Congress control number: 2016940227 Copy Editor Printed in the United States of America Gill Editorial Services First Printing: May 2016 Indexer Brad Herriman Trademarks All terms mentioned in this book that are known to be trademarks or service marks have Proofreader been appropriately capitalized. Pearson IT Certification cannot attest to the accuracy of this Paula Lowell information. Use of a term in this book should not be regarded as affecting the validity of any trademark or service mark. Technical Editor Dr. Louay Karadsheh Warning and Disclaimer Publishing Coordinator Every effort has been made to make this book as complete and as accurate as possible, but Vanessa Evans no warranty or fitness is implied. -
Building an Intrusion Detection System (IDS) to Neutralize Botnet Attacks
International Journal of Computer Applications Technology and Research Volume 4– Issue 2, 103 - 107, 2015, ISSN:- 2319–8656 Malware Hunter: Building an Intrusion Detection System (IDS) to Neutralize Botnet Attacks R. Kannan A.V.Ramani Department of Computer Science Department of Computer Science Sri Ramakrishna Mission Vidyalaya Sri Ramakrishna Mission Vidyalaya College of Arts and Science College of Arts and Science Coimbatore ,Tamilnadu,India. Coimbatore ,Tamilnadu,India Abstract: Among the various forms of malware attacks such as Denial of service, Sniffer, Buffer overflows are the most dreaded threats to computer networks. These attacks are known as botnet attacks and self-propagating in nature and act as an agent or user interface to control the computers which they attack. In the process of controlling a malware, Bot header(s) use a program to control remote systems through internet with the help of zombie systems. Botnets are collection of compromised computers (Bots) which are remotely controlled by its originator (Bot-Master) under a common Command-and-Control (C&C) structure. A server commands to the bot and botnet and receives the reports from the bot. The bots use Trojan horses and subsequently communicate with a central server using IRC. Botnet employs different techniques like Honeypot, communication protocols (e.g. HTTP and DNS) to intrude in new systems in different stages of their lifecycle. Therefore, identifying the botnets has become very challenging; because the botnets are upgrading their methods periodically for affecting the networks. Here, the focus on addressing the botnet detection problem in an Enterprise Network This research introduces novel Solution to mitigate the malicious activities of Botnet attacks through the Principle of component analysis of each traffic data, measurement and countermeasure selection mechanism called Malware Hunter.