Malware: Viruses and Rootkits
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Trojan Vs Rat Vs Rootkit Mayuri More1, Rajeshwari Gundla2, Siddharth Nanda3 1U.G
IJRECE VOL. 7 ISSUE 2 (APRIL- JUNE 2019) ISSN: 2393-9028 (PRINT) | ISSN: 2348-2281 (ONLINE) Trojan Vs Rat Vs Rootkit Mayuri More1, Rajeshwari Gundla2, Siddharth Nanda3 1U.G. Student, 2 Senior Faculty, 3Senior Faculty SOE, ADYPU, Lohegaon, Pune, Maharashtra, India1 IT, iNurture, Bengaluru, India2,3 Abstract - Malicious Software is Malware is a dangerous of RATs completely and prevent confidential data being software which harms computer systems. With the increase leaked. So Dan Jiang and Kazumasa Omote researchers in technology in today’s days, malwares are also increasing. have proposed an approach to detect RAT in the early stage This paper is based on Malware. We have discussed [10]. TROJAN, RAT, ROOTKIT in detail. Further, we have discussed the adverse effects of malware on the system as III. CLASSIFICATION well as society. Then we have listed some trusted tools to Rootkit vs Trojan vs Rat detect and remove malware. Rootkit - A rootkit is a malicious software that permits a legitimate user to have confidential access to a system and Keywords - Malware, Trojan, RAT, Rootkit, System, privileged areas of its software. A rootkit possibly contains Computer, Anti-malware a large number of malicious means for example banking credential stealers, keyloggers, antivirus disablers, password I. INTRODUCTION stealers and bots for DDoS attacks. This software stays Nowadays, this world is full of technology, but with the hidden in the computer and allocates the remote access of advantages of technology comes its disadvantages like the computer to the attacker[2]. hacking, corrupting the systems, stealing of data etc. These Types of Rootkit: malpractices are possible because of malware and viruses 1. -
Watch out for Fake Virus Alerts
State of West Virginia Cyber Security Tip ALERT West Virginia Office of Information Security and Controls – Jim Richards, WV Chief Information Security Officer WATCH OUT FOR FAKE VIRUS ALERTS Rogue security software, also known as "scareware," is software that appears to be beneficial from a security perspective (i.e. free virus scan) but provides limited or no security, generates erroneous or misleading alerts, or attempts to lure users into participating in fraudulent transactions. How does rogue security software get on my computer? Rogue security software designers create legitimate looking pop-up windows that advertise security update software. These windows might appear on your screen while you surf the web. The "updates" or "alerts" in the pop-up windows call for you to take some sort of action, such as clicking to install the software, accept recommended updates, or remove unwanted viruses or spyware. When you click, the rogue security software downloads to your computer. Rogue security software might also appear in the list of search results when you are searching for trustworthy antispyware software, so it is important to protect your computer. What does rogue security software do? Rogue security software might report a virus, even though your computer is actually clean. The software might also fail to report viruses when your computer is infected. Inversely, sometimes, when you download rogue security software, it will install a virus or other malicious software on your computer so that the software has something to detect. Some rogue security software might also: Lure you into a fraudulent transaction (for example, upgrading to a non-existent paid version of a program). -
Adware-Searchsuite
McAfee Labs Threat Advisory Adware-SearchSuite June 22, 2018 McAfee Labs periodically publishes Threat Advisories to provide customers with a detailed analysis of prevalent malware. This Threat Advisory contains behavioral information, characteristics and symptoms that may be used to mitigate or discover this threat, and suggestions for mitigation in addition to the coverage provided by the DATs. To receive a notification when a Threat Advisory is published by McAfee Labs, select to receive “Malware and Threat Reports” at the following URL: https://www.mcafee.com/enterprise/en-us/sns/preferences/sns-form.html Summary Detailed information about the threat, its propagation, characteristics and mitigation are in the following sections: Infection and Propagation Vectors Mitigation Characteristics and Symptoms Restart Mechanism McAfee Foundstone Services The Threat Intelligence Library contains the date that the above signatures were most recently updated. Please review the above mentioned Threat Library for the most up to date coverage information. Infection and Propagation Vectors Adware-SearchSuite is a "potentially unwanted program" (PUP). PUPs are any piece of software that a reasonably security- or privacy-minded computer user may want to be informed of and, in some cases, remove. PUPs are often made by a legitimate corporate entity for some beneficial purpose, but they alter the security state of the computer on which they are installed, or the privacy posture of the user of the system, such that most users will want to be aware of them. Mitigation Mitigating the threat at multiple levels like file, registry and URL could be achieved at various layers of McAfee products. Browse the product guidelines available here (click Knowledge Center, and select Product Documentation from the Support Content list) to mitigate the threats based on the behavior described in the Characteristics and symptoms section. -
Malware Analysis and Antivirus Technologies: Kernel Malware & A
Malware Analysis and Antivirus Technologies: Kernel Malware & A Look at Malware Today Protecting the irreplaceable | f-secure.com Copyright F-Secure 2010. All rights reserved. 2 06 April, 2011 © F-Secure Confidential Brain • Brain is the first known PC virus • Discovered in 1986 • Boot sector virus • First versions only infected 360k floppies • Stealth features • Hides infected boot sector by hooking sector read interrupt • Marks sectors in FAT bad • … but after all hiding efforts, some variants change floppy label to “© Brain” 3 06 April, 2011 © F-Secure Brain: Boot Sector Before Infection 4 06 April, 2011 © F-Secure Brain: Infected Boot Sector 5 06 April, 2011 © F-Secure Demo: Brain PUBLIC 7 06 April, 2011 © F-Secure Confidential 8 06 April, 2011 © F-Secure Confidential 9 06 April, 2011 © F-Secure Confidential Definition “Kernel malware is malicious software that runs fully or partially at the most privileged execution level, ring 0, having full access to memory, all CPU instructions, and all hardware.” • Can be divided into two subcategories • Full-Kernel malware • Semi-Kernel malware Copyright F-Secure 2010. All rights reserved. History • Kernel malware is not new – it has just been rare • WinNT/Infis • Discovered in November 1999 • Full-Kernel malware • Payload – PE EXE file infector • Virus.Win32.Chatter • Discovered in January 2003 • Semi-Kernel malware • Payload – PE SYS file infector • Mostly proof of concepts Copyright F-Secure 2010. All rights reserved. Increase of Kernel-Mode Malware Unique malicious drivers 37000 32000 15500 -
Address Munging: the Practice of Disguising, Or Munging, an E-Mail Address to Prevent It Being Automatically Collected and Used
Address Munging: the practice of disguising, or munging, an e-mail address to prevent it being automatically collected and used as a target for people and organizations that send unsolicited bulk e-mail address. Adware: or advertising-supported software is any software package which automatically plays, displays, or downloads advertising material to a computer after the software is installed on it or while the application is being used. Some types of adware are also spyware and can be classified as privacy-invasive software. Adware is software designed to force pre-chosen ads to display on your system. Some adware is designed to be malicious and will pop up ads with such speed and frequency that they seem to be taking over everything, slowing down your system and tying up all of your system resources. When adware is coupled with spyware, it can be a frustrating ride, to say the least. Backdoor: in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice), or could be a modification to an existing program or hardware device. A back door is a point of entry that circumvents normal security and can be used by a cracker to access a network or computer system. Usually back doors are created by system developers as shortcuts to speed access through security during the development stage and then are overlooked and never properly removed during final implementation. -
Crimeware on the Net
Crimeware on the Net The “Behind the scenes” of the new web economy Iftach Ian Amit Director, Security Research – Finjan BlackHat Europe, Amsterdam 2008 Who Am I ? (iamit) • Iftach Ian Amit – In Hebrew it makes more sense… • Director Security Research @ Finjan • Various security consulting/integration gigs in the past – R&D – IT • A helping hand when needed… (IAF) 2 BlackHat Europe – Amsterdam 2008 Today’s Agenda • Terminology • Past vs. Present – 10,000 feet view • Business Impact • Key Characteristics – what does it look like? – Anti-Forensics techniques – Propagation methods • What is the motive (what are they looking for)? • Tying it all up – what does it look like when successful (video). • Anything in it for us to learn from? – Looking forward on extrusion testing methodologies 3 BlackHat Europe – Amsterdam 2008 Some Terminology • Crimeware – what we refer to most malware these days is actually crimeware – malware with specific goals for making $$$ for the attackers. • Attackers – not to be confused with malicious code writers, security researchers, hackers, crackers, etc… These guys are the Gordon Gecko‟s of the web security field. The buy low, and capitalize on the investment. • Smart (often mislead) guys write the crimeware and get paid to do so. 4 BlackHat Europe – Amsterdam 2008 How Do Cybercriminals Steal Business Data? Criminals’ activity in the cyberspace Federal Prosecutor: “Cybercrime Is Funding Organized Crime” 5 BlackHat Europe – Amsterdam 2008 The Business Impact Of Crimeware Criminals target sensitive business data -
SMM Rootkits
SMM Rootkits: A New Breed of OS Independent Malware Shawn Embleton Sherri Sparks Cliff Zou University of Central Florida University of Central Florida University of Central Florida [email protected] [email protected] [email protected] ABSTRACT 1. INTRODUCTION The emergence of hardware virtualization technology has led to A rootkit consists of a set of programs that work to subvert the development of OS independent malware such as the Virtual control of an Operating System from its legitimate users [16]. If Machine based rootkits (VMBRs). In this paper, we draw one were asked to classify viruses and worms by a single defining attention to a different but related threat that exists on many characteristic, the first word to come to mind would probably be commodity systems in operation today: The System Management replication. In contrast, the single defining characteristic of a Mode based rootkit (SMBR). System Management Mode (SMM) rootkit is stealth. Viruses reproduce, but rootkits hide. They hide is a relatively obscure mode on Intel processors used for low-level by compromising the communication conduit between an hardware control. It has its own private memory space and Operating System and its users. Secondary to hiding themselves, execution environment which is generally invisible to code rootkits are generally capable of gathering and manipulating running outside (e.g., the Operating System). Furthermore, SMM information on the target machine. They may, for example, log a code is completely non-preemptible, lacks any concept of victim user’s keystrokes to obtain passwords or manipulate the privilege level, and is immune to memory protection mechanisms. -
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................................ -
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 ......................................................................................................................................... -
Android Malware Category and Family Detection and Identification Using Machine Learning
Android Malware Category and Family Detection and Identification using Machine Learning Ahmed Hashem El Fiky1*, Ayman El Shenawy1, 2, Mohamed Ashraf Madkour1 1 Systems and Computer Engineering Dept., Faculty of Engineering, Al-Azhar University, Cairo, Egypt. 1 Systems and Computer Engineering Dept., Faculty of Engineering, Al-Azhar University, Cairo, Egypt. 2 Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt. [email protected] [email protected] [email protected] Abstract: Android malware is one of the most dangerous threats on the internet, and it's been on the rise for several years. Despite significant efforts in detecting and classifying android malware from innocuous android applications, there is still a long way to go. As a result, there is a need to provide a basic understanding of the behavior displayed by the most common Android malware categories and families. Each Android malware family and category has a distinct objective. As a result, it has impacted every corporate area, including healthcare, banking, transportation, government, and e-commerce. In this paper, we presented two machine- learning approaches for Dynamic Analysis of Android Malware: one for detecting and identifying Android Malware Categories and the other for detecting and identifying Android Malware Families, which was accomplished by analyzing a massive malware dataset with 14 prominent malware categories and 180 prominent malware families of CCCS-CIC- AndMal2020 dataset on Dynamic Layers. Our approach achieves in Android Malware Category detection more than 96 % accurate and achieves in Android Malware Family detection more than 99% accurate. Our approach provides a method for high-accuracy Dynamic Analysis of Android Malware while also shortening the time required to analyze smartphone malware. -
Detection and Blocking of Distributed Denial of Service Attack
DDoS-blocker: Detection and Blocking of Distributed Denial of Service Attack Sugih Jamin EECS Department University of Michigan [email protected] Internet Design Goals Key design goals of Internet protocols: ¯ resiliency ¯ availability ¯ scalability Security has not been a priority until recently. Sugih Jamin ([email protected]) Security Attacks Two types of security attacks: 1. Against information content: secrecy, integrity, authentication, authorization, privacy, anonymity 2. Against the infrastructure: system intrusion, denial of service Sugih Jamin ([email protected]) Counter Measures Fundamental tools: ¯ Content attack: cryptography ¯ Intrusion detection: border checkpoints (firewall systems) to monitor traffic for known attack patterns ¯ Denial of service: no effective counter measure Sugih Jamin ([email protected]) Denial of Service (DoS) Attack An attacker inundates its victim with otherwise legitimate service requests or traffic such that victim’s resources are overloaded and overwhelmed to the point that the victim can perform no useful work. Sugih Jamin ([email protected]) Distributed Denial of Service (DDoS) Attack A newly emerging, particularly virulent strain of DoS attack enabled by the wide deployment of the Internet. Attacker commandeers systems (zombies) distributed across the Internet to send correlated service requests or traffic to the victim to overload the victim. Sugih Jamin ([email protected]) DDoS Example February 7th and 8th, 2000: several large web sites such as Yahoo!, Amazon, Buy.com, eBay, CNN.com, etc. were taken offline for several hours, costing the victims several millions of dollars. Sugih Jamin ([email protected]) Mechanism of DDoS [Bellovin 2000] Attacker Zombie Zombie Victim Zombie Zombie Internet Zombie Zombie Zombie coordinator Sugih Jamin ([email protected]) TheMakingofaZombie Zombies, the commandeered systems, are usually taken over by exploiting program bugs or backdoors left by the programmers. -
A Poisoned Apple: the Analysis of Macos Malware Shlayer By: Minh D
A Poisoned Apple: The Analysis of macOS Malware Shlayer by: Minh D. Nguyen Abstract Historically, the Microsoft Windows operating system family, which currently runs on more than 70 percent of computers in the world,7 has been the main target for malware. However, with the growing popularity of Apple’s MacBook products, the macOS operating system has become a new platform for attackers to target the general computer users. According to the 2016/2017 Security Report of AV-TEST, the number of malware samples for macOS detected in 2016 has increased by an astonishing 370 percent compared to the same figure in 2015.3 In order to address the rising interest of attackers in the macOS operating system, this project provides an analysis of a newly discovered malware for macOS, Shlayer, to reveal a well- known tactic that attackers can utilize to infect machines running on any operating system, and discusses possible countermeasures for this strategy. I. Introduction macOS is often hailed as a more secure operating system compared to its counterpart Microsoft Windows.2 However, in reality, many attacking techniques targeting Windows machines can also be applied to macOS machines. The analysis of the new Shlayer malware, discovered by researchers of Intego in February 2018,1 will reveal a familiar strategy that attackers often utilize to target victim machines without regards of the operating system. With the worldwide growth of macOS usage, it is important to recognize this attacking method and understand that in many cases, the success of an attack does not depend on the security of the operating system but on the awareness of the user.