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  1. 1. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 Design and Implementation of Virtual Client Honeypot Himani Gupta, Gurpal Singh Chhabra School of Mathematics and Computer Applications, Thapar University, Patiala,Abstract— Computers security has become a major issue in classification, honeyclient is the other term that is generallymany organization. There are different solutions to response to used and accepted. The concept of client honeypots wasthis needs but they remain insufficient to truly secure network. firstly articulated by Lance Spitzner (2004). Later severalHoneypot is used in the area of computer and Internet Security. client honeypots were developed: Honeyclient;It is resource which is intended to be attacked and comprised to HoneyMonkey [2]; HoneyC [3]; and Capture [4].gain more information about the attacker and their attack HoneyClient was the first open source client honeypot,techniques. Compared to an intrusion detection system,Honeypots have the big advantage that they do not generate which was developed in 2004 by K. Wang [5], andfalse alerts as all traffic is suspicious, because no productive subsequently developed at MITRE. However, in spite of thecomponents are running on the system. Client Honeypot is a continuous progress with client honeypots technology, theyhoneypot actively searches for malicious sites on the web. In are still immature technology. In this paper, we will studythis paper, we design and implement virtual Client Honeypot to threat against client user, Goals of Client Honeypot,collect the internet malwares. Architecture of Client Honeypot, Functional Diagram of Virtual Client Honeypot and Comparison of HoneyclientIndex Terms—Intrusion detection system; Honeypots; with IDS.Honeyclients; client-side attacks; malware; crawler; II. THREATS AGAINST CLIENT USERS I. INTRODUCTION One of the new major attack types that we are faced recentlyMalwares have become a major threat to the internet as their are client-side attacks. Client-side attacks refer to the attacksoccurrence in the internet had significantly increased in past launched in opposition to client user. In this type of attacks,few years. In response to this increasing malware attacks, an attacker uses client application vulnerability to takehoneypots has emerged as one of the popular practical control of client system by malicious server. A typical targetdefence technique. The Honeypots are the information is web browser. However, these attacks can occur on anysystem resources capable to attract, capture and collectmalware attacks. client/server pairs such as email, instant messaging, FTP, multimedia streaming, etc[6] In this section we willWhile the fight is ongoing on the Internet between blackhats discuss some issues relating to client-side threats: drive-byand whitehats, attackers have started to transfer the battlefield download, code obfuscation, phishing and the client user; as they believe the client applications are A. Drive-by downloadmore likely to have security breaches and vulnerabilities. A very effective way to infect a victim’s machine is to exploitClient user has become the weakest link in the network vulnerabilities and execute malware without the user noticingsecurity chain, and since the security chain is only robust as such actions and without any user interaction. A drive-byits weakest link, we need to detect attacks against client side download usually initiates a number of downloads andto protect the whole security system [1]. installations, after the successful exploitation of a vulnerability in the browser or one of its plug-ins. TheTraditional honeypots are servers (or devices that expose executables are malware used for different purposes thatserver services) that wait passively to be attacked. Client cause changes to the system state and affect the user’sHoneypots are active security devices in search of malicious machine depending on their type. The main changes areservers that attack clients. The client honeypot poses as a observed in the registry, the system’s processes andclient and interacts with the server to examine whether an network’s activity. [7] Once a user visits a page that launchesattack has occurred. Often the focus of client honeypots is on drive-by attacks, a common first step in the attack is toweb browsers, but any client that interacts with servers can be perform fingerprinting of the visitor’s browser. To this end, apart of a client honeypot (for example ftp, ssh, email, etc.). script collects information about the browser version andThere are several terms that are used to describe client language, operating system version, or enumerates thehoneypots. Besides client honeypot, which is the generic installed plug-ins. All Rights Reserved © 2012 IJARCET 521
  2. 2. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 B. Code Obfuscation V. ARCHITECTURE OF CLIENT HONEYPOTObfuscation means using encoding to make the codeambiguous, and more difficult to interpret. Hiding the exploit A client honeypot is composed of three components. The firstvector is an effective way of evading signature-based component, a queuer, is responsible for creating a list ofdetection systems such as virus scanners and filtering servers for the client to visit. This list can be created, forfirewalls. Criminals use code obfuscation to make the example, through crawling. The second component is themalicious JavaScript or VBscript unreadable during client itself, which is able to make a requests to serverstransportation from the web server to the browser. These identified by the queuer. After the interaction with the serverscripts are decoded and interpreted by the browser. [8] has taken place, the third component, an analysis engine, is responsible for determining whether an attack has taken place on the client honeypot. C. PhishingPhishing is an attack combines between social engineering The Active honeypot architecture is divided into followingtechniques and sophisticated attack vectors to harvest three modules:financial information or sensitive data from end users.Phisher typically tries to lure her victim into clicking a URLpointing to a rogue page In phishing, users could be easilytricked into submitting their username and password intofraudulent web sites whose appearance look similar to thegenuine one. [9] D. Typo-squattingTypo-squatting refers to the practice of registering domainnames that are typo variations of popular websites, whichusually host websites with significant traffic. The individualsor organizations who register typo-squatting domains (ortypo domains) are referred to as typosquatters. Some majortypo-squatters are known to have registered thousands ormore of typo domains. Fig 1. Architecture of client honeypot III. GOALS OF CLIENT HONEYPOT The components are explained as:The ultimate goal of client honeypots is to detect and identify 1. Queuer: the queuer is responsible for creating the list ofany malicious activity coming from the Internet. This ideal the URLs that has to be browsed by the Active of client honeypot can be summarized as follows: There are several techniques used to create URL lists,1. Client honeypot should detect any known and unknown including search engines, Blacklists, Phishing and spamthreats against any client user application. Application can be messages, and instant messaging.any server/client based application. Client honeypot should 2. Client Module: the client is the component that makesbe able to check various URLs (images, executable files, requests and interacts with the web servers. It emulates thehtml, scripts, etc). Ideal client honeypot has rate zero false browser level vulnerabilities.positive. 3. Analysis engine: the analysis engine is responsible for2. Client honeypot should detect the attacks in real-time. determining and checking the state of the client honeypot to see if an attack has occurred or not.3. Client honeypot should be able to dynamically modify thedetection and security policy rules to fit the current situation. VI. VIRTUAL HONEYCLIENT[10] IV. CLIENT HONEYPOT With the improvement of software security, attacks based on RPC vulnerabilities declined, however, attacks based onClient honeypots are client-side, they simulates drives client application software vulnerabilities have increased.client-side software and do not expose services to be Such client application software includes web browsers,attacked. Client honeypots typically are active, they actively Email client and Office. The spread of malware using theseinitiate interact with remote servers to be attacked. The software vulnerabilities has become a severe threat to today’sclient-side honeypot must recognize which server is Internet. In allusion to this kind of threat, we have tried tomalicious and which is benign. Honeyclient is an active develop a prototype system to collect the internet malwareshoneypot that mimics, either manually or automatically, the by actively visiting the malicious websites using clientnormal series of steps a regular user would make when honeypots. This system can not only collect malware but alsovisiting various websites. [11] The intended goal of detect malicious website. Here when we are visiting thehoneyclients is to identify malicious websites which target websites in a virtual machine, we monitor the activities suchthe client application vulnerabilities. as file system, network monitor etc. The end results of the system are collected malware executable binaries, PCAP network data. All Rights Reserved © 2012 IJARCET 522
  3. 3. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 VII. DESIGN AND IMPLEMENTED VIRTUAL infections. We have set the execution of each site for 90 sec. CLIENT HONEYPOT Also we use the DCHSniffer for capturing PCAP data. After all the processing has been done virtual machineHigh-interaction honeyclients give an attacker the capability stops and all the executable and binary files be shown on theto interact with real system rather than simulation. They base machine with the URL from where they came.Thendetect the security violations via state changes check; which analysis and reporting, we are inserting the mailicious URLsmeans the need to monitor filesystem, registry entries, into database.We have also used bridge-util is used forprocesses, network connection and physical resources such creation of bridge, gcc compiler is GNU C compiler used inas memory and CPU, etc. State change checks should give linux platform, HTTP: sessionizer is for re-session of httpfirst insight into whether a system has been compromised. communication and Fuse util is being used for virtual fileThere are various honeyclients developed based on this systemapproach such as Capture-HPC, HoneyClient andHoneyMonkey. installed on the machine starts monitors the VIII. EXPERIMENTAL RESULTSfile system for suspicious activity caused by malware URL STEM HOSTNA md5 Insert all the links to the ME . database http://admarcont ///live.txt admarcont cc4c77ee54d abil.sites.u e37e9089c7a ae2e24d9a2 Fetch a group of links from http://ew.correa. ///RITINH ew.correa. 5912d4f1845 the database A.jpg de44a4e5c9e /RITINHA.jpg 9db891c65f ///summer ae8621d33a5 ///summer/XvidS /XvidSetu t d184534bab8 Start the virtual Machine etup.exe p.exe 44a0716d1b http://strandedna ///media/ strandedna ae8621d33a5 XvidSetu d184534bab8 /XvidSetup.exe p.exe 44a0716d1b Starts the Capturing pcap Starts the Execute the links http://depaulamd ///aut.jpg depaulam 337877a8689 Capturing pcap using IE-xplorer dp.sites.uo 824558ba8c1 r///aut.jpg 7a03763776 http://gucosilva.s ///downlo gucosilva. 5d1cdf7ff4c5 ada.jpg 7503c2352f1 Stop the virtual machine downloada.jpg d6bf3a149 ///oportuni 3f7d7f857f13 r///oportunidade/ dade/imag br 174261540d6 images/01.jpg es/01.jpg db7c48e2d Process the pcap data using HTTP-Sessionizer Table 1. Experiment results collecting malwares In the above table the term ―URL‖ means the website which Save the extracted Insert the host name, we opened, ―stem‖ means from where the malware found and malware to malware url, to the database ―md5‖ means the unique number for malware just like a folder numeric value. IX. COMPARISON OF HONEYCLIENT WITH IDSFig 2. functional diagram of virtual honeyclient Client Honeypot is an active honeypot,which uses client application and collects the malwares. As we know, ClientIn the implementation of virtual client honeypot, we have Honeypot and IDS are both network security terms but Clientused linux red hat as base machine and Virtual Box based honeypot is better than IDS because IDS only generates thehoneypot for browsing of URLs and monitoring file system, alerts when the signature of attacker matches with thenetwork activities. Firstly, we manually feed the URL’s in thelog file which we want to check for malwares or we can a database but client honeypot detects the malware of unknowncrawler to collect web page URLs, and store them in a signatures also. Also Intrusion detection systems in largedatabase. After that when we fetch the links from the networks suffer from the high amount of traffic while clientdatabase and start the virtual machine. The machine starts to honeypot in contrary just have to handle traffic directed toopen these fetched links one by one and MwWatcher tool themselves. Client Honeypot does not need high configurations. All Rights Reserved © 2012 IJARCET 523
  4. 4. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 [10] C. Clementson,‖ Client-Side Threats and a Honeyclient-Based Defense X. CONCLUSION AND FUTURE WORK Mechanism, Honeyscout‖, Master’s Thesis, Linköping University Electronic Computer networks have brought the world together by Press, 2009.bridging the information gap among people. Network [11] R. A. Grimes, ―Tracking Malware with Honeyclients‖, InfoWorld, 2006 has undergone a revolution with better and tracking-malware-honeyclients-852 .faster ways of sending information between computers.Unfortunately security systems and policies to governthese networks have not progressed as the same speed.Today’s network is very complex and the whole world isfocusing on ease of use and functionality. This is diversityto our concern for the security towards the ease of use andincrease of functionality. Cyber crime is also no longer theprerogative of lone hackers or random attackers. So thereis a huge need of detecting and preventing the threats andintrusion. In this work, we presented the Internet malwaresystem using client-side honeypot. We use the active abilityof client-side honeypot to collect malware that traditionalhoneypot cannot get in the Internet. We introduced thecategory of Internet malware, the client side attacktechniques and overall framework of the system in detail. Wemainly gave the design and implementation of clienthoneypots based malware collection. During the work doneso far, client honeypot based solution is very useful to collectthe internet malwares and to detect the malicious websites. Our developed Virtual Box powered Honeyclientis very useful for collection of internet malwares but it ishaving a limited capabilities or we can say that it is just aprototype. There is a requirement of integration of crawler asdata acquirement, at present there is no such component inour developed module. Further there is also a possibility ofaddition of various client side applications such as firefox,pdf etc because currently we only using Internet Explorer foractively visiting the websites. And there is also a possibilityof addition of automatically analysis of collected malwares.We can confirm that we cannot cover all the challenges suchhuman user simulation, logic bomb, time triggered websitesbut we have developed a prototype solution to get betterunderstanding of client honeypots. REFERENCES[1] R. Danford, ―2nd Generation Honeyclients‖, SANS Internet StormCenter,2006[2]Zero Day Initiative, ―Adobe Flash Player JPEG Parsing Heap Overflow Vulnerability‖, 9 December 2009.[3]C. Seifert. HoneyC - The Low-Interaction Client Honeypot. 2006.CiteSeerX[4]R. A. Grimes, ―Tracking Malware with Honeyclients‖, InfoWorld, 2006 852[5] K. Wang. Honeyclient Development Project.[6] Offensive-Security, Client Side Attacks, 2009[7] C. Seifert, R. Steenson, T. Holz, Y. Bing, and M. A. Davis, ―Know yourenemy: Malicious web servers.‖ The Honeynet Project, 2007.[8] HoneySpider Network Project, ―The Honeyspider Network – FightingClient-Side Threats‖,2009[9] S. Garera, N. Provos ,M. Chew , and A. D. Rubin, ―A Framework ForDetection And Measurement Of Phishing Attacks‖, Proceedings of the 2007ACM workshop on Recurring Malcode, 2007 All Rights Reserved © 2012 IJARCET 524