DOCSLIB.ORG

Malicious Website Detection Based on Honeypot Systems

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Malicious Website Detection Based on Honeypot Systems 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013) Malicious Website Detection Based on Honeypot Systems Tung-Ming Koo, Hung-Chang Chang, Ya-Ting Hsu Huey-Yeh Lin Department of Information Management Department of Finance National Yunlin University of Science & Technology National Formosa University Douliou, Yunlin, Taiwan, R.O.C. Huwei, Yunlin, Taiwan, R.O.C. e-mail: {koo, g9823811, g9723742}@yuntech.edu.tw e-mail: [email protected] Abstract—In the Internet age, every computer user is likely to Several reasons can be attributed to why malicious inadvertently encounter highly contagious viruses. Over the attacks use the web as the medium for attacking. First, the past several years, a new type of web attack has spread across HTTP protocol is very easy to configure and use. Second, the web, that is, when a client connects to a malicious remote using a generic communication protocol is inconspicuous. server, the server responds to the request while simultaneously Because most firewalls permit port 80 of the HTTP protocol transporting malicious programs to the client’s computer, to pass, they are often useless to withstand such attacks, thereby launching a drive-by download attack. If the attack is allowing attacking packets to invade the system effortlessly. successful, malicious servers can control and execute any Because interconnectivity has become an indispensable part program from the client’s computer. Malicious websites of everyday life, terrorists believe that attacking through the frequently harbor obfuscation mechanisms to evade signature- based detection systems. These obfuscators have become web is an ideal option because of its maximum benefits and increasingly sophisticated that they have begun to invade minimum risks. multimedia files (JPG, Flash, and PDF). Under such Malicious websites frequently use obfuscation techniques circumstances, unless specific behaviors are triggered by to evade detection; these obfuscations have become malicious webpages, identifying programs with malicious increasingly sophisticated, even extending to multimedia intent by merely analyzing web content is extremely difficult, documents (JPG, Flash, and PDF). Under these not to mention the formidable quantity of webpages and the circumstances, unless specific behaviors are triggered by ever changing attack techniques. Based on a client-side browsing malicious webpages, identifying programs with honeypot system, this study proposes a model for determining malicious intentions by analyzing only the content is whether a webpage is malicious. We present a technique to extremely difficult, not including the daunting quantity of improve the accuracy of malicious web detection. First, static webpages and constantly changing attacking techniques. content analysis is performed to accelerate the detection, Thus, this study first analyzes the static content of webpages followed by actual browsing on webpages for in-depth probing to accelerate the analyzing process; then, we use a honeypot using the client-side honeypot system. Using this method, system to browse webpages for in-depth probing. The user’s security is protected when surfing the Internet. analysis outcome is used to determine whether webpages are benign or malicious automatically. Keywords- Honeypot; malicious website; drive-by download The followings are the main objectives of this technique: z Active detection of malicious websites I. INTRODUCTION z Automated malicious website analysis A web browser is indispensable tool for browsing online z Establish a protective mechanism content. However, a security report by IBM published in the II. LITERATURE REVIEW first half of 2009 [10] indicated that web browser vulnerabilities have been the most exploited over the past Traditional attacks are launched from the server-side, that few years. Regarding the range of operating systems, the is, the attack and penetration are aimed at the server service Microsoft operating systems family was ranked first place system. Nowadays, attacks have been shifting to the client- for the severity and incidence of system breaches. side, that is, when a client-side application (browser) Furthermore, Microsoft has the largest user base. Therefore, interacts with malicious servers, the vulnerabilities of the this study uses Microsoft operating systems to build the application are exploited for malicious purposes, or the experimental environment. client-side is induced to execute malicious programs. Any When a client connects to a malicious remote server, the client/server architecture can lead to this type of attack (Web, server transfers malicious programs to the client’s computer. FTP, and Mail), which is difficult to detect with the current Then, when the user sends a request to the malicious server, firewall, invasion detection, and proxy-based defense the server responds to the request while simultaneously systems. launching a drive-by download attack[17]. If the download is Drive-by downloads[1][17], also called “forced completed successfully, malicious servers can execute any downloads” or “pass-by downloads,” are a new type of programs on the client’s computer. According to statistics by client-side attack. When a user visits a webpage containing the Symantec Corporation [5][17], more than 18 million malicious scripts, the malicious programs are downloaded to drive-by downloads were enforced in 2008. the user’s computer without the consent of the user. Even © 2013. The authors - Published by Atlantis Press 76 legitimate websites can carry drive-by downloads simply assesses through manual work and only analyzes specific because they were compromised and injected with malicious websites. scripts. If the web browser or other software is not patched or Honeyclient is a highly interactive web-based honeypot updated regularly, the user may become infected. developed by Wang in 2004 [12]; it was the first open source The process of drive-by downloads are as follows: client honeypot written using Perl. As an event-based 1. Attackers seize control of legitimate web servers application, Honeyclient can detect attacks at the client side 2. Web browsing by users by monitoring specific directories and the system registry. 3. Drive-by downloads Using the password hash MD5, Honeyclient compares the 4. Redirecting to malicious websites directories and registry after interacting with the server. 5. Malicious website attacking the user When the checksum differs from the original, it is considered Numerous studies have investigated malicious webpage malicious. However, this approach is time-consuming and detection and protection in recent years. Static analysis has a high false positive rate. examines whether the program code or original documents In 2008, Seifert proposed Capture [3][13], a highly carry the defined signatures or patterns without executing interactive client honeypot with full functionalities. This these programs. Dynamic analysis refers to the detection honeypot uses a virtual machine to simulate the system technique that uses behavioral patterns to simulate the environment at user’s end. By controlling the browser, it browsing environment of users by loading an actual webpage detects the remote target hosts and observes changes in the into the browser and determining whether the browser system status. Modifications to the system status may downloads or executes unwanted scripts. suggest an abnormality. Although this approach is precise, A honeypot is a type of information system resource that detection is time-consuming. can be used without authorization or illegally. Thus, honeypots are primarily deployed as targets to be detected, III. RESEARCH METHODS attacked, or harmed by exploitive code. The basic Thousands of drive-by downloads occur on mainstream assumption is that because honeypots simulate non-existent websites daily; the users of these websites are infected or systems or services, a person attempting to reach the non- attacked at an astonishing rate. Unfortunately, numerous existent systems or services must have bad intentions. users remain unaware of these attacks. Thus, this study Most honeypots are server-side systems. They are investigates using static content analysis and dynamic configured as vulnerable hosts providing specific services to behavior analysis to determine whether a webpage has ensure they are detected and assaulted by hackers and malicious or abnormal intentions. We employ semantic- damaged by malware. Honeypots are attacked passively and based static content analysis and the behavior capturing do not act as a trapping system without first being attacked. technique proposed by Seifert et al. [2][14][15], and attempt Over the past several years, with the attack targets to improve these methods considering the network shifting to the client side, Spizner developed a new client characteristics. honeypot type [4]. This honeypot differs from the traditional Currently, most malicious webpages are assessed using server honeypot in that its active sniffing creates interactions static analysis or signature-based value. Despite the with the target hosts, and it is designed to actively detect provision of rapid detection and judgment, these methods offensive behaviors from malicious hosts. By contrast, server cannot resist unknown attack variations. Although heuristics honeypots cannot sniff actively. Therefore, a client honeypot and behavior-based detection techniques can prevent is used to actively detect whether a web service provided
Load more

Recommended publications
  • A Honeypot for Arbitrary Malware on USB Storage Devices
    A Honeypot for Arbitrary Malware on USB Storage Devices Sebastian Poeplau Jan Gassen University of Bonn Elmar Gerhards-Padilla Institute of Computer Science 4 Fraunhofer FKIE Friedrich-Ebert-Allee 144 Cyber Defense research group 53113 Bonn Friedrich-Ebert-Allee 144 53113 Bonn Abstract—Malware is a serious threat for modern information be infected usually by pretending to be vulnerable computers technology. It is therefore vital to be able to detect and analyze or services. Most commonly, honeypots are run on dedicated such malicious software in order to develop contermeasures. systems, i. e. machines that are maintained exclusively for the Honeypots are a tool supporting that task—they collect malware samples for analysis. Unfortunately, existing honeypots concen- purpose of capturing malware. Honeypots enable researchers trate on malware that spreads over networks, thus missing any and anti-virus companies to analyze new types of malware and malware that does not use a network for propagation. to develop countermeasures, and they are vital in generating A popular network-independent technique for malware to signatures of previously unknown malware. Even though there spread is copying itself to USB flash drives. In this article we are various different honeypot concepts, they all face one basic present Ghost, a new kind of honeypot for such USB malware. problem: How to trick malware into infecting a honeypot It detects malware by simulating a removable device in software, thereby tricking malware into copying itself to the virtual device. machine? We explain the concept in detail and evaluate it using samples Many of the employed concepts make use of the fact that of wide-spread malware.
    [Show full text]
  • An API Honeypot for Ddos and XSS Analysis
    An API Honeypot for DDoS and XSS Analysis G Leaden, Marcus Zimmermann, Casimer DeCusatis, Fellow, IEEE, and Alan G. Labouseur Marist College School of Computer Science and Mathematics Poughkeepsie, NY 12601 fG.Leaden1, Marcus.Zimmermann1, Casimer.DeCusatis, [email protected] Abstract—Honeypots are servers or systems built to mimic II. BACKGROUND critical parts of a network, distracting attackers while logging their information to develop attack profiles. This paper discusses Not long after making G-Star Studio available online, we the design and implementation of a honeypot disguised as a REp- observed a number of unauthorized connection attempts to resentational State Transfer (REST) Application Programming its Application Programming Interface (API). These attacks Interface (API). We discuss the motivation for this work, design specifically targeted G-star Studio’s REpresentational State features of the honeypot, and experimental performance results Transfer (REST) API. under various traffic conditions. We also present analyses of both a distributed denial of service (DDoS) attack and a cross-site A REST API is among the most commonly used API scripting (XSS) malware insertion attempt against this honeypot. architectures today [6]. There are many examples of recent attacks against REST APIs, including well-publicized attacks on the Nissan Leaf smart car [7] and the U.S. Internal Revenue Service database. Existing APIs do not always follow security I. INTRODUCTION best practices, and developers might be lulled into a false sense of security by believing that their API will not be an attack The number and severity of cyber attacks has grown signif- target. In an effort to improve the security of our SecureCloud icantly in recent years [1], [2].
    [Show full text]
  • Malware to Crimeware
    I have surveyed over a decade of advances in delivery of malware. Over this daVid dittRich period, attackers have shifted to using complex, multi-phase attacks based on malware to crimeware: subtle social engineering tactics, advanced how far have they cryptographic techniques to defeat takeover gone, and how do and analysis, and highly targeted attacks we catch up? that are intended to fly below the radar of current technical defenses. I will show how Dave Dittrich is an affiliate information malicious technology combined with social security researcher in the University of manipulation is used against us and con- Washington’s Applied Physics Laboratory. He focuses on advanced malware threats and clude that this understanding might even the ethical and legal framework for respond- ing to computer network attacks. help us design our own combination of [email protected] technical and social mechanisms to better protect us. And ye shall know the truth, and the truth shall make you free. The late 1990s saw the advent of distributed and John 8:32 coordinated computer network attack tools, which were primarily used for the electronic equivalent of fist fighting in the streets. It only took a few years for criminal activity—extortion, click fraud, denial of service for competitive advantage—to appear, followed by mass theft of personal and financial data through quieter, yet still widespread and auto- mated, keystroke logging. Despite what law-abid- ing citizens would desire, crime does pay, and pay well. Today, the financial gain from criminal enter- prise allows investment of large sums of money in developing tools and operational capabilities that are increasingly sophisticated and highly targeted.
    [Show full text]
  • A Review on Honeypot-Based Botnet Detection Models for Smart Factory
    (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 11, No. 6, 2020 A Review on Honeypot-based Botnet Detection Models for Smart Factory Lee Seungjin1, Azween Abdullah2, NZ Jhanjhi3 School of Computer Science and Engineering (SCE) Taylor‟s University Subang Jaya, Selangor, Malaysia Abstract—Since the Swiss Davos Forum in January 2017, the production line and is expected to change from mass most searched keywords related to the Fourth Revolutionary customization to flexible production systems through Industry are AI technology, big data, and IoT. In particular, the modularization. It is possible to save energy by changing from manufacturing industry seeks to advance information and a person-centered working environment to an ICT-oriented communication technology (ICT) to build a smart factory that one, and it is expected that the productivity of the integrates the management of production processes, safety, manufacturing industry will increase [2], Various possibilities procurement, and logistics services. Such smart factories can for the transition to smart factories are recognized. It is effectively solve the problem of frequent occurrences of accidents predicted that it will be able to monitor and control and high fault rates. An increasing number of cases happening in manufacturing sites via virtual space, making it easier to smart factories due to botnet DDoS attacks have been reported in manage factories. It will enhance competitiveness in quality recent times. Hence, the Internet of Thing security is of paramount importance in this emerging field of network security and cost [3]. Smart factories are closely linked to data by improvement. In response to the cyberattacks, smart factory application of the latest ICT technologies such as AI, security needs to gain its defending ability against botnet.
    [Show full text]
  • Honeypot, Honeynet, Honeywall & Honeytoken
    How to Mock a Bear: Honeypot, Honeynet, Honeywall & Honeytoken: A Survey Paul Lackner Institute of IT Security Research, St. Polten¨ University of Applied Sciences, Austria Keywords: Honeypot, Honeynet, Honeywall, Honeytoken, Survey. Abstract: In a digitized world even critical infrastructure relies on computers controlled via networks. Attacking these sensitive infrastructures is highly attractive for intruders, who are frequently a step ahead of defenders. Honey systems (honeypots, honeynets, honeywalls, and honeytoken) seek to counterbalance this situation. Honey systems trap attackers by generating phoney services, nets, or data, thereby preventing them from doing dam- age to production systems and enable defenders to study attackers without letting intruders initially notice. This paper provides an overview of existing technologies, their use cases, and pitfalls to bear in mind by illustrating various examples. Furthermore, it shows the recent efforts made in the field and examines the challenges that still need to be solved. 1 INTRODUCTION This paper is structured as follows: First, section 2 explains the differences between the honey tools. The Due to continuously improving endpoint protection following sections describe the properties of the dif- and network protection, attacks against computer sys- ferent honey tools and illustrate some use cases as tems are becoming more complex. Various new attack well as implementation considerations. Furthermore, vectors are found continuously and multiple system section 5 describes monitoring, detection and hiding components, hosts, and services in combination are methods followed by a standardised threat informa- necessary to successfully attack a system (Simmons tion exchange approach. Finally, legal aspects are de- et al., 2014) (Papp et al., 2015). Automated attacks scribed and a list of some implementations and hon- based in machine learning are increasing, which re- eypot tools finalises the paper.
    [Show full text]
  • Example of Trojan Horse
    Example Of Trojan Horse Hassan fled his motherliness jumps saliently or next after Gerhardt premises and clabber heroically, unicolor and catenate. Maury usually mangling flirtingly or clamour unmeaningly when genteel Kurtis brutify lest and languishingly. Lex influencing kitty-cornered if xerophilous Lucio hocus or centrifuging. And according to experts, it remains so. As with protecting against most common cybersecurity threats, effective cybersecurity software should be your front line of protection. But what if you need to form an allegiance with this person? Another type of the virus, Mydoom. Wonder Friends to read. When first developed, Gozi used rootkit components to hide its processes. What appearsto have been correctly uninstalled or malware that i get the date, or following paper describes the horse of! Please enter your password! Adware is often known for being an aggressive advertising software that puts unwanted advertising on your computer screen. In as far as events are concerned; the central Intelligence Agency has been conducting searches for people who engage in activities such as drug trafficking and other criminal activities. If someone tries to use your computer, they have to know your password. No matter whether a company favors innovation or not, today innovation is key not only to high productivity and growth, but to the mere survival in the highly competitive environment. The fields may be disguised as added security questions that could give the criminal needed information to gain access to the account later on. It is surprising how far hackers have come to attack people, eh? Run script if the backdoor is found, it will disconnect you from the server, and write to the console the name of the backdoor that you can use later.
    [Show full text]
  • Honeypots and Mobile Technology: Discovering the Attacker
    ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. Honeypots and Mobile Technology: Discovering the Attacker Breno Fabrício Lira Melo Sousa Raimundo Pereira da Cunha Neto Coordination of Computer Science Coordination of Computer Science Centro de Ensino Unificado de Teresina - CEUT Centro de Ensino Unificado de Teresina - CEUT Teresina, Brazil Teresina, Brazil [email protected] [email protected] Francisca de Fátima de Lima Sousa Coordination of Computer Science Centro de Ensino Unificado de Teresina - CEUT Teresina, Brazil Abstract— This paper is mainly focused on presenting one of • The honeypot is an effective technique for identifying the techniques of defense against invasions communications intruders? networks, which can affect both small, medium and large enterprises as for ordinary users. Exposing their characteristics, • How to identify an intruder using honeypot? strengths and weaknesses, and honeypots for mobile devices. • What types of services are major targets of the invaders? Keywords— honeypots; honeynet; android; device mobile. We will talk in section two of this paper its definition, describing its history, characteristics, ratings, their strengths I. INTRODUCTION and weaknesses, ending the section with honeynets and The computing over the years gained a tremendous growth honeytokens. In section three, we will have a brief introduction ever since the first computers emerged, that had military to the android operating system. Following, we discuss in purposes. The information became accessible to everyone, section four of this article threats to mobile devices. anytime, anywhere. Continuing, in section five, we discuss honeypots aimed at mobile devices. And finally, we have our conclusion and Over the years, computers increasingly, have been gaining references.
    [Show full text]
  • Honeypots Revealed
    HONEYPOTS REVEALED Prepared by: Mohamed Noordin Yusuff IT Security Officer Specialist Dip. Info Security, MA. Internet Security Mgmt(Ongoing) 1 INTRODUCTION IT Security instantly becomes an issue for anyone who connects their system to the Internet, either via a corporate network, an Internet Service Provider (ISP) from home or wireless device that can be used virtually anywhere when there are wireless access points. Security threats range from hacking intrusions, denial of service attacks to computer worms, viruses and more. We must understand that intrusion to a network or system can never be eliminated but however, can be reduced. Computer crimes are always increasing. Countermeasures are developed to detect or prevent attacks - most of these measures are based on known facts, known attack patterns – as in the military, it is important to know who your enemy is, what kind of strategy he uses, what tools he utilizes and what he is aiming for – by knowing attack strategies, countermeasures can be improved and vulnerabilities can be fixed. 1 Security activities range from keeping intruders out of the network or system, preventing the interception of information sent via the Internet to limiting the spread of and damage caused by computer viruses. Most security professionals understand that the three concepts in IT Security are prevention, detection and respond whereby there is no end-to-end security equipment or solution that can cover two or all the concepts. For example, firewalls and anti-virus would fall under prevention, intrusion detection system and vulnerability scanners under detection and incident response teams would come under respond. Comprehensive security solutions include a mixture of software and hardware components.
    [Show full text]
  • Honeypots in Network Security
    Degree Project Honeypots in Network Security Deniz Akkaya – Fabien Thalgott 2010-06 -29 Subject: Network Security Level: Bachelor Course code: 2DV00E Abstract Day by day, more and more people are using internet all over the world. It is becoming a part of everyone’s life. People are checking their e-mails, surfing over internet, purchasing goods, playing online games, paying bills on the internet etc. However, while performing all these things, how many people know about security? Do they know the risk of being attacked, infecting by malicious software? Even some of the malicious software are spreading over network to create more threats by users. How many users are aware of that their computer may be used as zombie computers to target other victim systems? As technology is growing rapidly, newer attacks are appearing. Security is a key point to get over all these problems. In this thesis, we will make a real life scenario, using honeypots. Honeypot is a well designed system that attracts hackers into it. By luring the hacker into the system, it is possible to monitor the processes that are started and running on the system by hacker. In other words, honeypot is a trap machine which looks like a real system in order to attract the attacker. The aim of the honeypot is analyzing, understanding, watching and tracking hacker’s behaviours in order to create more secure systems. Honeypot is great way to improve network security administrators’ knowledge and learn how to get information from a victim system using forensic tools. Honeypot is also very useful for future threats to keep track of new technology attacks.
    [Show full text]
  • Guide to Intrusion Detection and Prevention Systems (IDPS)
    Special Publication 800-94 Guide to Intrusion Detection and Prevention Systems (IDPS) Recommendations of the National Institute of Standards and Technology Karen Scarfone Peter Mell NIST Special Publication 800-94 Guide to Intrusion Detection and Prevention Systems (IDPS) Recommendations of the National Institute of Standards and Technology Karen Scarfone Peter Mell C O M P U T E R S E C U R I T Y Computer Security Division Information Technology Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899-8930 February 2007 U.S. Department of Commerce Carlos M. Gutierrez, Secretary Technology Administration Robert C. Cresanti, Under Secretary of Commerce for Technology National Institute of Standards and Technology William Jeffrey, Director GUIDE TO INTRUSION DETECTION AND PREVENTION SYSTEMS (IDPS) Reports on Computer Systems Technology The Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST) promotes the U.S. economy and public welfare by providing technical leadership for the nation’s measurement and standards infrastructure. ITL develops tests, test methods, reference data, proof of concept implementations, and technical analysis to advance the development and productive use of information technology. ITL’s responsibilities include the development of technical, physical, administrative, and management standards and guidelines for the cost-effective security and privacy of sensitive unclassified information in Federal computer systems. This Special Publication 800-series reports on ITL’s research, guidance, and outreach efforts in computer security and its collaborative activities with industry, government, and academic organizations. National Institute of Standards and Technology Special Publication 800-94 Natl. Inst. Stand. Technol. Spec. Publ. 800-94, 127 pages (February 2007) Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately.
    [Show full text]
  • Understanding Malicious Activity Via Decoy Accounts Jeremiah Onaolapo
    Honeypot Boulevard: Understanding Malicious Activity via Decoy Accounts Jeremiah Onaolapo Department of Computer Science University College London Thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy of University College London January 2019 Declaration I, Jeremiah Onaolapo, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Jeremiah Onaolapo 3 Abstract This thesis describes the development and deployment of honeypot systems to mea- sure real-world cybercriminal activity in online accounts. Compromised accounts ex- pose users to serious threats including information theft and abuse. By analysing the modus operandi of criminals that compromise and abuse online accounts, we aim to provide insights that will be useful in the development of mitigation techniques. We explore account compromise and abuse across multiple online platforms that host webmail, social, and cloud document accounts. First, we design and create re- alistic decoy accounts (honeypots) and build covert infrastructure to monitor activity in them. Next, we leak credentials of those accounts online to lure miscreants to the accounts. Finally, we record and analyse the resulting activity in the compromised accounts. Our top three findings on what happens after online accounts are attacked can be summarised as follows. First, attackers that know the locations of webmail ac- count owners tend to connect from places that are closer to those locations. Second, we show that demographic attributes of social accounts influence how cybercrimi- nals interact with them. Third, in cloud documents, we show that document content influences the activity of cybercriminals.
    [Show full text]
  • Client Honeypot Based Drive by Download Exploit Detection and Their Categorization
    Mandeep Sidhu Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 4, ( Part -5) April 2015, pp.86-93 RESEARCH ARTICLE OPEN ACCESS Client Honeypot Based Drive by Download Exploit Detection and their Categorization Mandeep Sidhu*, Rajneesh Narula** *M.Tech Scholar (Computer Science and Engineering, Adesh Institute of engineering and technology faridkot – Punjab Technology University) ** Assistant Professor (Computer Science and Engineering, Sant Adesh Institute of engineering and technology faridkot –Punjab Technology University) ABSTRACT Client side attacks are those which exploits the vulnerabilities in client side applications such as browsers, plug- ins etc. The remote attackers execute the malicious code in end user’s system without his knowledge. Here in this research, we propose to detect and measure the drive by download class of malware which infect the end user’s system through HTTP based propagation mechanism. The purpose of this research is to introduce a class of technology known as client honeypot through which we execute the domains in a virtual machine in more optimized manner. Those virtual machines are the controlled environment for the execution of those URLs. During the execution of the websites, the PE files dropped into the system are logged and further analyzed for categorization of malware. Further the critical analysis has been performed by applying some reverse engineering techniques to categories the class of malware and source of infections performed by the malware. Keywords –Client Honeypot, Drive-by-Download, Client-side exploits, Intrusion Detection, Malware Analysis I. INTRODUCTION infections in those weblinks. Once the exploits have If we see the current internet usage statistics, the been performed, the activities of the attackers are users who are using the internet with the help of being logged which are further studied to get the laptop, PC and mobile phones, do not know about the inference and detailed behavior of the attackers.
    [Show full text]