Browser Security Web browser exploits are a common attack vector. Research into browser security in the first three quarters of 2014 has looked at the common browsers and add-ons to address both specific and general problems. Included in the articles cited here are some addressing cross site scripting, hardware virtualization, bothounds, system call monitoring, and phishing detection.

• Barnes, R.; Thomson, M., "Browser-to-Browser Security Assurances for WebRTC," Internet Computing, IEEE, vol. PP, no. 99, pp.1, 1, September, 2014. doi: 10.1109/MIC.2014.106 For several years, browsers have been able to assure a user that he is talking to a specific, identified web site, protected from network-based attackers. In email, messaging, and other applications where sites act as intermediaries, there is a need for additional protections to provide end-to-end security. In this article we describe the approach that WebRTC takes to providing end-to-end security, leveraging both the flexibility of JavaScript and the ability of browsers to create constraints through JavaScript APIs.
  Keywords: Browsers; Cameras; Internet; Media (ID#:14-2838)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894480&isnumber=5226613

• Abgrall, E.; Le Traon, Y.; Gombault, S.; Monperrus, M., "Empirical Investigation of the Web Browser Attack Surface under Cross-Site Scripting: An Urgent Need for Systematic Security Regression Testing," Software Testing, Verification and Validation Workshops (ICSTW), 2014 IEEE Seventh International Conference on, pp.34,41, March 31 2014-April 4 2014. doi: 10.1109/ICSTW.2014.63 One of the major threats against web applications is Cross-Site Scripting (XSS). The final target of XSS attacks is the client running a particular web browser. During this last decade, several competing web browsers (IE, Netscape, Chrome, Firefox) have evolved to support new features. In this paper, we explore whether the evolution of web browsers is done using systematic security regression testing. Beginning with an analysis of their current exposure degree to XSS, we extend the empirical study to a decade of most popular web browser versions. We use XSS attack vectors as unit test cases and we propose a new method supported by a tool to address this XSS vector testing issue. The analysis on a decade releases of most popular web browsers including mobile ones shows an urgent need of XSS regression testing. We advocate the use of a shared security testing benchmark as a good practice and propose a first set of publicly available XSS vectors as a basis to ensure that security is not sacrificed when a new version is delivered.
  Keywords: online front-ends; regression analysis; security of data; Web applications; Web browser attack surface; XSS vector testing; cross-site scripting; systematic security regression testing; Browsers; HTML; Mobile communication; Payloads; Security; Testing; Vectors; XSS; browser; regression; security; testing; web (ID#:14-2839)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6825636&isnumber=6825623

• Xin Wu, "Secure Browser Architecture Based on Hardware Virtualization," Advanced Communication Technology (ICACT), 2014 16th International Conference on, pp.489, 495, 16-19 Feb. 2014. doi: 10.1109/ICACT.2014.6779009 Ensuring the entire code base of a browser to deal with the security concerns of integrity and confidentiality is a daunting task. The basic method is to split it into different components and place each of them in its own protection domain. OS processes are the prevalent isolation mechanism to implement the protection domain, which result in expensive context-switching overheads produced by Inter-Process Communication (TPC). Besides, the dependences of multiple web instance processes on a single set of privileged ones reduce the entire concurrency. In this paper, we present a secure browser architecture design based on processor virtualization technique. First, we divide the browser code base into privileged components and constrained components which consist of distrusted web page Tenderer components and plugins. All constrained components are in the form of shared object (SO) libraries. Second, we create an isolated execution environment for each distrusted shared object library using the hardware virtualization support available in modern Intel and AMD processors. Different from the current researches, we design a custom kernel module to gain the hardware virtualization capabilities. Third, to enhance the entire security of browser, we implement a validation mechanism to check the OS resources access from distrusted web page Tenderer to the privileged components. Our validation rules is similar with Google chrome. By utilizing VMENTER and VMEXIT which are both CPU instructions, our approach can gain a better system performance substantially.
  Keywords: microprocessor chips; online front-ends; operating systems (computers); security of data; software libraries; virtualisation; AMD processors; CPU instructions; Google chrome; IPC; Intel processors; OS processes; OS resource checking; SO libraries; VMENTER; VMEXIT; browser security; context-switching overheads; distrusted Web page renderer components; distrusted shared object library; hardware virtualization capabilities; Interprocess communication; isolated execution environment; isolation mechanism; multiple Web instance processes; processor virtualization technique; secure browser architecture design; validation mechanism; Browsers; Google; Hardware; Monitoring; Security; Virtualization; Web pages; Browser security; Component isolation; Hardware virtualization; System call interposition (ID#:14-2840)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6779009&isnumber=6778899

• Wadkar, H.; Mishra, A; Dixit, A, "Prevention of Information Leakages In A Web Browser By Monitoring System Calls," Advance Computing Conference (IACC), 2014 IEEE International, pp.199,204, 21-22 Feb. 2014. doi: 10.1109/IAdCC.2014.6779320 The web browser has become one of most accessed process/applications in recent years. The latest website security statistics report about 30% of vulnerability attacks happen due to the information leakage by browser application and its use by hackers to exploit privacy of an individual. This leaked information is one of the main sources for hackers to attack individual's PC or to make the PC a part of botnet. A software controller is proposed to track system calls invoked by the browser process. The designed prototype deals with the systems calls which perform operations related to read, write, access personal and/or system information. The objective of the controller is to confine the leakage of information by a browser process.
  Keywords: Web sites; online front-ends; security of data; Web browser application; Web site security statistics report; botnet; browser process; monitoring system calls; software controller; system information leakages; track system calls; vulnerability attacks; Browsers; Computer hacking; Monitoring; Privacy; Process control; Software; browser security; confinement; information leakage}, (ID#:14-2841)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6779320&isnumber=6779283

• Shamsi, J.A; Hameed, S.; Rahman, W.; Zuberi, F.; Altaf, K.; Amjad, A, "Clicksafe: Providing Security Against Clickjacking Attacks," High-Assurance Systems Engineering (HASE), 2014 IEEE 15th International Symposium on, pp.206,210, 9-11 Jan. 2014. doi: 10.1109/HASE.2014.36 Click jacking is an act of hijacking user clicks in order to perform undesired actions which are beneficial for the attacker. We propose Click safe, a browser-based tool to provide increased security and reliability against click jacking attacks. Click safe is based on three major components. The detection unit detects malicious components in a web page that redirect users to external links. The mitigation unit provides interception of user clicks and give educated warnings to users who can then choose to continue or not. Click safe also incorporate a feedback unit which records the user's actions, converts them into ratings and allows future interactions to be more informed. Click safe is predominant from other similar tools as the detection and mitigation is based on a comprehensive framework which utilizes detection of malicious web components and incorporating user feedback. We explain the mechanism of click safe, describes its performance, and highlights its potential in providing safety against click jacking to a large number of users.
  Keywords: Internet; online front-ends; security of data; Clicksafe; Web page; browser-based tool; click safe; clickjacking attacks; detection unit; feedback unit; malicious Web component detection; mitigation unit; Browsers; Communities; Computers; Context; Loading; Safety; Security; Browser Security; Clickjacking; Safety; Security; Soft assurance of safe browsing (ID#:14-2842)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6754607&isnumber=6754569

• Mohammad, R.M.; Thabtah, F.; McCluskey, L., "Intelligent Rule-Based Phishing Websites Classification," Information Security, IET, vol.8, no.3, pp.153,160, May 2014. doi: 10.1049/iet-ifs.2013.0202 Phishing is described as the art of echoing a website of a creditable firm intending to grab user's private information such as usernames, passwords and social security number. Phishing websites comprise a variety of cues within its content-parts as well as the browser-based security indicators provided along with the website. Several solutions have been proposed to tackle phishing. Nevertheless, there is no single magic bullet that can solve this threat radically. One of the promising techniques that can be employed in predicting phishing attacks is based on data mining, particularly the `induction of classification rules' since anti-phishing solutions aim to predict the website class accurately and that exactly matches the data mining classification technique goals. In this study, the authors shed light on the important features that distinguish phishing websites from legitimate ones and assess how good rule-based data mining classification techniques are in predicting phishing websites and which classification technique is proven to be more reliable.
  Keywords: Web sites; data mining; data privacy; pattern classification; security of data; unsolicited e-mail; Web site echoing; Website class; antiphishing solutions; browser-based security indicators; creditable flrm; intelligent rule-based phishing Web site classification; phishing attack prediction; rule-based data mining classification techniques; social security number; user private information (ID#:14-2843)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6786863&isnumber=6786849

• Phung, P.; Monshizadeh, M.; Sridhar, M.; Hamlen, K.; Venkatakrishnan, V., "Between Worlds: Securing Mixed JavaScript/ActionScript Multi-party Web Content," Dependable and Secure Computing, IEEE Transactions on, vol. PP, no.99, pp.1, 1, September 2014. doi: 10.1109/TDSC.2014.2355847 Mixed Flash and JavaScript content has become increasingly prevalent; its purveyance of dynamic features unique to each platform has popularized it for myriad web development projects. Although Flash and JavaScript security has been examined extensively, the security of untrusted content that combines both has received considerably less attention. This article considers this fusion in detail, outlining several practical scenarios that threaten the security of web applications. The severity of these attacks warrants the development of new techniques that address the security of Flash-JavaScript content considered as a whole, in contrast to prior solutions that have examined Flash or JavaScript security individually. Toward this end, the article presents FlashJaX, a cross-platform solution that enforces fine-grained, history-based policies that span both Flash and JavaScript. Using in-lined reference monitoring, FlashJaX safely embeds untrusted JavaScript and Flash content in web pages without modifying browser clients or using special plug-ins. The architecture of FlashJaX, its design and implementation, and a detailed security analysis are exposited. Experiments with advertisements from popular ad networks demonstrate that FlashJaX is transparent to policy-compliant advertisement content, yet blocks many common attack vectors that exploit the fusion of these web platforms.
  Keywords: Browsers; Engines; Mediation; Monitoring; Payloads; Runtime; Security (ID#:14-2844) URL: http://ieeexplore.ieee.org/stam
  p/stamp.jsp?tp=&arnumber=6894186&isnumber=4358699

• Byungho Min; Varadharajan, V., "A New Technique for Counteracting Web Browser Exploits," Software Engineering Conference (ASWEC), 2014 23rd Australian, pp.132,141, 7-10 April 2014. doi: 10.1109/ASWEC.2014.28 Over the last few years, exploit kits have been increasingly used for system compromise and malware propagation. As they target the web browser which is one of the most commonly used software in the Internet era, exploit kits have become a major concern of security community. In this paper, we propose a proactive approach to protecting vulnerable systems from this prevalent cyber threat. Our technique intercepts communications between the web browser and web pages, and proactively blocks the execution of exploit kits using version information of web browser plugins. Our system, AFFAF, is a zero-configuration solution, and hence users do not need to do anything but just simply install it. Also, it is an easy-to-employ methodology from the perspective of plugin developers. We have implemented a lightweight prototype, which has demonstrated that AFFAF protected vulnerable systems can counteract 50 real-world and one locally deployed exploit kit URLs. Tested exploit kits include popular and well-maintained ones such as Blackhole 2.0, Redkit, Sakura, Cool and Bleeding Life 2. We have also shown that the false positive rate of AFFAF is virtually zero, and it is robust enough to be effective against real web browser plugin scanners.
  Keywords: Internet; invasive software; online front-ends; AFFAF protected vulnerable systems; Internet; Web browser exploits; Web browser plugin scanners; Web pages; cyber threat; exploit kit URL; lightweight prototype; malware propagation; security community; system compromise; version information; zero-configuration solution; browsers; Java; Malware; Prototypes; Software; Web sites; Defensive Techniques; Exploit Kits; Security Attacks (ID#:14-2845)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824118&isnumber=6824087

• Mewara, B.; Bairwa, S.; Gajrani, J., "Browser's Defenses Against Reflected Cross-Site Scripting Attacks," Signal Propagation and Computer Technology (ICSPCT), 2014 International Conference on, pp.662,667, 12-13 July 2014. doi: 10.1109/ICSPCT.2014.6884928 Due to the frequent usage of online web applications for various day-to-day activities, web applications are becoming most suitable target for attackers. Cross-Site Scripting also known as XSS attack, one of the most prominent defacing web based attack which can lead to compromise of whole browser rather than just the actual web application, from which attack has originated. Securing web applications using server side solutions is not profitable as developers are not necessarily security aware. Therefore, browser vendors have tried to evolve client side filters to defend against these attacks. This paper shows that even the foremost prevailing XSS filters deployed by latest versions of most widely used web browsers do not provide appropriate defense. We evaluate three browsers - Internet Explorer 11, Google Chrome 32, and Mozilla Firefox 27 for reflected XSS attack against different type of vulnerabilities. We find that none of above is completely able to defend against all possible type of reflected XSS vulnerabilities. Further, we evaluate Firefox after installing an add-on named XSS-Me, which is widely used for testing the reflected XSS vulnerabilities. Experimental results show that this client side solution can shield against greater percentage of vulnerabilities than other browsers. It is witnessed to be more propitious if this add-on is integrated inside the browser instead being enforced as an extension.
  Keywords: online front-ends; security of data; Google Chrome 32; Internet Explorer 11; Mozilla Firefox 27;Web based attack; Web browsers; XSS attack; XSS filters; XSS-Me;online Web applications; reflected cross-site scripting attacks; Browsers; Security; Thyristors; JavaScript; Reflected XSS; XSS-Me; attacker; bypass; exploit; filter (ID#:14-2846)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6884928&isnumber=6884878

• Biedermann, S.; Ruppenthal, T.; Katzenbeisser, S., "Data-centric Phishing Detection Based On Transparent Virtualization Technologies," Privacy, Security and Trust (PST), 2014 Twelfth Annual International Conference on, pp.215,223, 23-24 July 2014. doi: 10.1109/PST.2014.6890942 We propose a novel phishing detection architecture based on transparent virtualization technologies and isolation of the own components. The architecture can be deployed as a security extension for virtual machines (VMs) running in the cloud. It uses fine-grained VM introspection (VMI) to extract, filter and scale a color-based fingerprint of web pages which are processed by a browser from the VM's memory. By analyzing the human perceptual similarity between the fingerprints, the architecture can reveal and mitigate phishing attacks which are based on redirection to spoofed web pages and it can also detect “Man-in-the-Browser” (MitB) attacks. To the best of our knowledge, the architecture is the first anti-phishing solution leveraging virtualization technologies. We explain details about the design and the implementation and we show results of an evaluation with real-world data.
  Keywords: Web sites; cloud computing; computer crime; online front-ends; virtual machines; virtualisation; MitB attack; VM introspection; VMI; antiphishing solution; cloud; color-based fingerprint extraction; color-based fingerprint filtering; color-based fingerprint scaling; component isolation; data-centric phishing detection; human perceptual similarity; man-in-the-browser attack; phishing attacks; spoofed Web pages; transparent virtualization technologies; virtual machines; Browsers; Computer architecture; Data mining; Detectors; Image color analysis; Malware; Web pages (ID#:14-2847)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890942&isnumber=6890911

• Sayed, B.; Traore, I, "Protection against Web 2.0 Client-Side Web Attacks Using Information Flow Control," Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference on, pp. 261, 268, 13-16 May 2014. doi: 10.1109/WAINA.2014.52 The dynamic nature of the Web 2.0 and the heavy obfuscation of web-based attacks complicate the job of the traditional protection systems such as Firewalls, Anti-virus solutions, and IDS systems. It has been witnessed that using ready-made toolkits, cyber-criminals can launch sophisticated attacks such as cross-site scripting (XSS), cross-site request forgery (CSRF) and botnets to name a few. In recent years, cyber-criminals have targeted legitimate websites and social networks to inject malicious scripts that compromise the security of the visitors of such websites. This involves performing actions using the victim browser without his/her permission. This poses the need to develop effective mechanisms for protecting against Web 2.0 attacks that mainly target the end-user. In this paper, we address the above challenges from information flow control perspective by developing a framework that restricts the flow of information on the client-side to legitimate channels. The proposed model tracks sensitive information flow and prevents information leakage from happening. The proposed model when applied to the context of client-side web-based attacks is expected to provide a more secure browsing environment for the end-user.
  Keywords: Internet; computer crime; data protection; invasive software; IDS systems; Web 2.0 client-side Web attacks; antivirus solutions; botnets; cross-site request forgery; cross-site scripting; c yber-criminals; firewalls; information flow control; information leakage; legitimate Web sites; malicious script injection; protection systems; secure browsing environment; social networks; Browsers; Feature extraction; Security; Semantics; Servers; Web 2.0;Web pages; AJAX; Client-side web attacks; Information Flow Control; Web 2.0 (ID#:14-2848)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844648&isnumber=6844560

• Zarras, A; Papadogiannakis, A; Gawlik, R.; Holz, T., "Automated Generation Of Models For Fast And Precise Detection Of HTTP-Based Malware," Privacy, Security and Trust (PST), 2014 Twelfth Annual International Conference on, pp.249,256, 23-24 July 2014. doi: 10.1109/PST.2014.6890946 Malicious software and especially botnets are among the most important security threats in the Internet. Thus, the accurate and timely detection of such threats is of great importance. Detecting machines infected with malware by identifying their malicious activities at the network level is an appealing approach, due to the ease of deployment. Nowadays, the most common communication channels used by attackers to control the infected machines are based on the HTTP protocol. To evade detection, HTTP-based malware adapt their behavior to the communication patterns of the benign HTTP clients, such as web browsers. This poses significant challenges to existing detection approaches like signature-based and behavioral-based detection systems. In this paper, we propose BOTHOUND: a novel approach to precisely detect HTTP-based malware at the network level. The key idea is that implementations of the HTTP protocol by different entities have small but perceivable differences. Building on this observation, BOTHOUND automatically generates models for malicious and benign requests and classifies at real time the HTTP traffic of a monitored network. Our evaluation results demonstrate that BOTHOUND outperforms prior work on identifying HTTP-based botnets, being able to detect a large variety of real-world HTTP-based malware, including advanced persistent threats used in targeted attacks, with a very low percentage of classification errors.
  Keywords: Internet; invasive software; BOTHOUND approach; HTTP protocol; HTTP traffic; HTTP-based malware detection; Internet; Web browsers; behavioral-based detection system; botnets; classification errors; hypertext transfer protocol; malicious software; security threats; signature-based detection system; Accuracy; Browsers; Malware; Monitoring; Protocols; Software; Training (ID#:14-2849)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890946&isnumber=6890911

• Ortiz-Yepes, D.A; Hermann, R.J.; Steinauer, H.; Buhler, P., "Bringing Strong Authentication And Transaction Security To The Realm Of Mobile Devices," IBM Journal of Research and Development, vol.58, no.1, pp.4:1, 4:11, Jan.-Feb. 2014. doi: 10.1147/JRD.2013.2287810 Widespread usage of mobile devices in conjunction with malicious software attacks calls for the development of mobile-device-oriented mechanisms aiming to provide strong authentication and transaction security. This paper considers the eBanking application scenario and argues that the concept of using a trusted companion device can be ported to the mobile realm. Trusted companion devices involve established and proven techniques in the PC (personal computer) environment to secure transactions. Various options for the communication between mobile and companion devices are discussed and evaluated in terms of technical feasibility, usability, and cost. Accordingly, audio communication across the 3.5-mm audio jack—also known as tip-ring-ring-sleeve, or TRRS connector,—is determined to be quite appropriate. We present a proof-of-concept companion device implementing binary frequency shift keying across this interface. Results from a field study performed with the proof-of-concept device further confirm the feasibility of the proposed solution.
  Keywords: Authentication; Browsers; Computer security; Malware; Mobile communication; Servers; Smart cards; Universal Serial Bus (ID#:14-2850)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6717088&isnumber=6717043

• Chuan Xu; Guofeng Zhao; Gaogang Xie; Shui Yu, "Detection on Application Layer DDOSs Using Random Walk Model," Communications (ICC), 2014 IEEE International Conference on, pp.707,712, 10-14 June 2014. doi: 10.1109/ICC.2014.6883402 Application Layer Distributed Denial of Service (ALDDoS) attacks have been increasing rapidly with the growth of Botnets and Ubiquitous computing. Differentiate to the former DDoS attacks, ALDDoS attacks cannot be efficiently detected, as attackers always adopt legitimate requests with real IP address, and the traffic has high similarity to legitimate traffic. In spite of that, we think, the attackers' browsing behavior will have great disparity from that of the legitimate users'. In this paper, we put forward a novel user behavior-based method to detect the application layer asymmetric DDoS attack. We introduce an extended random walk model to describe user browsing behavior and establish the legitimate pattern of browsing sequences. For each incoming browser, we observe his page request sequence and predict subsequent page request sequence based on random walk model. The similarity between the predicted and the observed page request sequence is used as a criterion to measure the legality of the user, and then attacker would be detected based on it. Evaluation results based on real collected data set has demonstrated that our method is very effective in detecting asymmetric ALDDoS attacks.
  Keywords: computer network security; ALDDoS attacks; application layer distributed denial of service attacks; botnet; browsing sequences; extended random walk model; legitimate users; novel user behavior-based method; page request sequence; real IP address; subsequent page request sequence; ubiquitous computing; user browsing behavior; Computational modeling; Computer crime; Educational institutions; Information systems; Predictive models; Probability distribution; Vectors; Asymmetric application layer DDoS attack; anomaly detection; random walk model; similarity (ID#:14-2851)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6883402&isnumber=6883277

• Sah, S.K.; Shakya, S.; Dhungana, H., "A Security Management For Cloud Based Applications And Services with Diameter-AAA," Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on, pp.6,11, 7-8 Feb. 2014. doi: 10.1109/ICICICT.2014.6781243 The Cloud computing offers various services and web based applications over the internet. With the tremendous growth in the development of cloud based services, the security issue is the main challenge and today's concern for the cloud service providers. This paper describes the management of security issues based on Diameter AAA mechanisms for authentication, authorization and accounting (AAA) demanded by cloud service providers. This paper focuses on the integration of Diameter AAA into cloud system architecture.
  Keywords: authorisation; cloud computing; Internet; Web based applications; authentication, authorization and accounting; cloud based applications; cloud based services; cloud computing; cloud service providers; cloud system architecture; diameter AAA mechanisms; security management; Authentication; Availability; Browsers; Computational modeling; Protocols; Servers; Cloud Computing; Cloud Security; Diameter-AAA (ID#:14-2852)
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6781243&isnumber=6781240

Note:

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