Configuring Zeus: a Case Study of Online Crime Target Selection And
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Ransom Where?
Ransom where? Holding data hostage with ransomware May 2019 Author With the evolution of digitization and increased interconnectivity, the cyberthreat landscape has transformed from merely a security and privacy concern to a danger much more insidious by nature — ransomware. Ransomware is a type of malware that is designed to encrypt, Imani Barnes Analyst 646.572.3930 destroy or shut down networks in exchange [email protected] for a paid ransom. Through the deployment of ransomware, cybercriminals are no longer just seeking to steal credit card information and other sensitive personally identifiable information (PII). Instead, they have upped their games to manipulate organizations into paying large sums of money in exchange for the safe release of their data and control of their systems. While there are some business sectors in which the presence of this cyberexposure is overt, cybercriminals are broadening their scopes of potential victims to include targets of opportunity1 across a multitude of industries. This paper will provide insight into how ransomware evolved as a cyberextortion instrument, identify notorious strains and explain how companies can protect themselves. 1 WIRED. “Meet LockerGoga, the Ransomware Crippling Industrial Firms” March 25, 2019; https://www.wired.com/story/lockergoga-ransomware-crippling-industrial-firms/. 2 Ransom where? | May 2019 A brief history of ransomware The first signs of ransomware appeared in 1989 in the healthcare industry. An attacker used infected floppy disks to encrypt computer files, claiming that the user was in “breach of a licensing agreement,”2 and demanded $189 for a decryption key. While the attempt to extort was unsuccessful, this attack became commonly known as PC Cyborg and set the archetype in motion for future attacks. -
Identifying Threats Associated with Man-In-The-Middle Attacks During Communication Between a Mobile Device and the Back End Server in Mobile Banking Applications
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. IX (Mar-Apr. 2014), PP 35-42 www.iosrjournals.org Identifying Threats Associated With Man-In-The-Middle Attacks during Communication between a Mobile Device and the Back End Server in Mobile Banking Applications Anthony Luvanda1,*Dr Stephen Kimani1 Dr Micheal Kimwele1 1. School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, PO Box 62000-00200 Nairobi Kenya Abstract: Mobile banking, sometimes referred to as M-Banking, Mbanking or SMS Banking, is a term used for performing balance checks, account transactions, payments, credit applications and other banking transactions through a mobile device such as a mobile phone or Personal Digital Assistant (PDA). Mobile banking has until recently most often been performed via SMS or the Mobile Web. Apple's initial success with iPhone and the rapid growth of phones based on Google's Android (operating system) have led to increasing use of special client programs, called apps, downloaded to the mobile device hence increasing the number of banking applications that can be made available on mobile phones . This in turn has increased the popularity of mobile device use in regards to personal banking activities. Due to the characteristics of wireless medium, limited protection of the nodes, nature of connectivity and lack of centralized managing point, wireless networks tend to be highly vulnerable and more often than not they become subjects of attack. This paper proposes to identify potential threats associated with communication between a mobile device and the back end server in mobile banking applications. -
Recent Developments in Cybersecurity Melanie J
American University Business Law Review Volume 2 | Issue 2 Article 1 2013 Fiddling on the Roof: Recent Developments in Cybersecurity Melanie J. Teplinsky Follow this and additional works at: http://digitalcommons.wcl.american.edu/aublr Part of the Law Commons Recommended Citation Teplinsky, Melanie J. "Fiddling on the Roof: Recent Developments in Cybersecurity." American University Business Law Review 2, no. 2 (2013): 225-322. This Article is brought to you for free and open access by the Washington College of Law Journals & Law Reviews at Digital Commons @ American University Washington College of Law. It has been accepted for inclusion in American University Business Law Review by an authorized administrator of Digital Commons @ American University Washington College of Law. For more information, please contact [email protected]. ARTICLES FIDDLING ON THE ROOF: RECENT DEVELOPMENTS IN CYBERSECURITY MELANIE J. TEPLINSKY* TABLE OF CONTENTS Introduction .......................................... ..... 227 I. The Promise and Peril of Cyberspace .............. ........ 227 II. Self-Regulation and the Challenge of Critical Infrastructure ......... 232 III. The Changing Face of Cybersecurity: Technology Trends ............ 233 A. Mobile Technology ......................... 233 B. Cloud Computing ........................... ...... 237 C. Social Networking ................................. 241 IV. The Changing Face of Cybersecurity: Cyberthreat Trends ............ 244 A. Cybercrime ................................. ..... 249 1. Costs of Cybercrime -
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. -
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 -
Mobile Financial Fraud April 2013
White Paper: Mobile Financial Fraud April 2013 Mobile Threats and the Underground Marketplace Principal Investigator and Corresponding Author Jart Armin Contributing Researchers Andrey Komarov, Mila Parkour, Raoul Chiesa, Bryn Thompson, Will Rogofsky Panel & Review Dr. Ray Genoe (UCD), Robert McArdle (Trend Micro), Dave Piscitello (ICANN), Foy Shiver (APWG), Edgardo Montes de Oca (Montimage), Peter Cassidy (APWG) APWG Mobile Fraud web site http://ecrimeresearch.org/wirelessdevice/Fraud/ Table of Contents Abstract ..................................................................................................................................... 2 Introduction and Starting Position ........................................................................................ 2 A Global Overview .................................................................................................................. 3 Vulnerabilities Overview ....................................................................................................... 3 The Underground Mobile Market ....................................................................................... 13 Mobile DNS & Traffic ........................................................................................................... 15 iBots & the Pocket Botnet ..................................................................................................... 18 Mobile Intrusion ................................................................................................................... -
Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown
Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown Colin C. Ife¢, Yun Sheny, Steven J. Murdoch¢, and Gianluca Stringhiniz ¢University College London, yNorton Research Group, zBoston University ¢yUnited Kingdom, zUnited States {colin.ife,s.murdoch}@ucl.ac.uk,[email protected],[email protected] ABSTRACT 1 INTRODUCTION The malware and botnet phenomenon is among the most signif- Malware delivery has evolved into a major business for the cyber- icant threats to cybersecurity today. Consequently, law enforce- criminal economy and a complex problem for the security commu- ment agencies, security companies, and researchers are constantly nity. The botnet – a network of malware-infected devices that is seeking to disrupt these malicious operations through so-called controlled by a single actor through one or more command and takedown counter-operations. Unfortunately, the success of these control (C&C) servers – is one phenomenon that has benefited takedowns is mixed. Furthermore, very little is understood as to from the malware delivery revolution. Diverse distribution vectors how botnets and malware delivery operations respond to takedown have enabled such malicious networks to expand more quickly and attempts. We present a comprehensive study of three malware de- efficiently than ever before. Once established, these botnets canbe livery operations that were targeted for takedown in 2015–16 using leveraged to commit a wide array of secondary computer crimes, global download metadata provided by Symantec. In summary, we such as data theft, financial fraud, coercion (ransomware), send- found that: (1) Distributed delivery architectures were commonly ing spam messages, distributed denial of service (DDoS) attacks, used, indicating the need for better security hygiene and coordina- and unauthorised cryptocurrency mining [1, 14, 17, 47, 48]. -
Mcafee Labs Threats Report August 2014
McAfee Labs Threats Report August 2014 Heartbleed Heartbleed presents a new cybercrime opportunity. 600,000 To-do lists The Heartbleed vulnerability Lists of Heartbleed-vulnerable exposed an estimated 600,000 websites are helpful to users but websites to information theft. can also act as “to-do” lists for cyber thieves. Unpatched websites Black market Despite server upgrades, many Criminals continue to extract websites remain vulnerable. information from Heartbleed- vulnerable websites and are selling it on the black market. McAfee Phishing Quiz Phishing continues to be an effective tactic for infiltrating enterprise networks. Average Score by Department (percent of email samples correctly identified) Only 6% of all test takers correctly 65% identified all ten email samples as phishing or legitimate. 60% 80% 55% of all test takers fell for at least one of the seven phishing emails. 50% 88% of test takers in Accounting & 0 Finance and HR fell for at least one of the seven phishing emails. Accounting & Finance Human Resources Other Departments The McAfee Phishing Quiz tested business users’ ability to detect online scams. Operation Tovar During Operation Tovar—The Gameover Zeus and CryptoLocker takedown: For CryptoLocker For Gameover Zeus more than 125,000 more than 120,000 domains were blocked. domains were sinkholed. Since the announcement of Operation Tovar: 80,000 times Copycats ****** McAfee Stinger, a free ****** are on the rise, creating tool that detects and ****** new ransomware or removes malware financial-targeting (including Gameover Zeus malware using the leaked and CryptoLocker), was Zeus source code. downloaded more than 80,000 times. McAfee joined global law enforcement agencies and others to take down Gameover Zeus and CryptoLocker. -
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). -
Iptrust Botnet / Malware Dictionary This List Shows the Most Common Botnet and Malware Variants Tracked by Iptrust
ipTrust Botnet / Malware Dictionary This list shows the most common botnet and malware variants tracked by ipTrust. This is not intended to be an exhaustive list, since new threat intelligence is always being added into our global Reputation Engine. NAME DESCRIPTION Conficker A/B Conficker A/B is a downloader worm that is used to propagate additional malware. The original malware it was after was rogue AV - but the army's current focus is undefined. At this point it has no other purpose but to spread. Propagation methods include a Microsoft server service vulnerability (MS08-067) - weakly protected network shares - and removable devices like USB keys. Once on a machine, it will attach itself to current processes such as explorer.exe and search for other vulnerable machines across the network. Using a list of passwords and actively searching for legitimate usernames - the ... Mariposa Mariposa was first observed in May 2009 as an emerging botnet. Since then it has infected an ever- growing number of systems; currently, in the millions. Mariposa works by installing itself in a hidden location on the compromised system and injecting code into the critical process ͞ĞdžƉůŽƌĞƌ͘ĞdžĞ͘͟/ƚŝƐknown to affect all modern Windows versions, editing the registry to allow it to automatically start upon login. Additionally, there is a guard that prevents deletion while running, and it automatically restarts upon crash/restart of explorer.exe. In essence, Mariposa opens a backdoor on the compromised computer, which grants full shell access to ... Unknown A botnet is designated 'unknown' when it is first being tracked, or before it is given a publicly- known common name. -
Kaspersky Security Bulletin 2020. Statistics Kaspersky Security Bulletin 2020
Kaspersky Security Bulletin 2020. Statistics Kaspersky Security Bulletin 2020. Statistics Contents Figures of the year 3 Financial threats 4 Number of users attacked by banking malware 4 Attack geography 5 Top 10 financial malware families 6 Ransomware programs 7 Number of users attacked by ransomware Trojans 7 Attack geography 8 Miners 10 Number of users attacked by miners 10 Attack geography 11 Vulnerable applications used by cybercriminals during cyber attacks 12 Attacks on macOS 14 Threat geography 15 IoT attacks 17 IoT threat statistics 17 Threats loaded into traps 19 Attacks via web resources 20 Countries that are sources of web-based attacks: 20 Countries where users faced the greatest risk of online infection 21 Top 20 malicious programs most actively used in online attacks 22 Local threats 24 Top 20 malicious objects detected on user computers 24 Countries where users faced the highest risk of local infection 25 2 Kaspersky Security Bulletin 2020. Statistics Figures of the year • During the year, 10.18% of Internet user computers worldwide experienced at least one Malware-class attack. • Kaspersky solutions blocked 666,809,967 attacks launched from online resources in various countries across the world. • 173,335,902 unique URLs were recognized as malicious by Web Anti-Virus. • Our Web Anti-Virus blocked 33,412,568 unique malicious objects. • Ransomware attacks were defeated on the computers of 549,301 unique users. • During the reporting period, miners attacked 1,523,148 unique users. • Attempted infections by malware designed to steal money via online access to bank accounts were logged on the devices of 668,619 users. -
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 .........................................................................................................................................