Which web browser work best for detecting phishing

Hussain, Shafiq; Ashraf, Imran; Altaf, Ayesha

doi:10.1109/icict.2013.6732784

Cited by 15 publications

(14 citation statements)

References 11 publications

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“…Opera browser offered the highest level of protection by blocking 94.2% of the phishing sites. Mazher et al (2013) tested the effectiveness of anti-phishing add-ons for Internet Explorer, Chrome, and Firefox, finding that Chrome outscored the other browsers. Finally, Abrams et al (2014) examined the time required for Firefox, Chrome, Opera, IE, and Safari to block a malicious site (from the creation of the malicious domain until the time it was blocked by the browsers).…”

Section: Phishingmentioning

confidence: 99%

Security Busters: Web browser security vs. rogue sites

Virvilis

Mylonas

Tsalis

et al. 2015

Computers & Security

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Android iOS Malware Mobile device Phishing Smartphone Security Windows Web browser a b s t r a c t URL blacklists are used by the majority of modern web browsers as a means to protect users from rogue web sites, i.e. those serving malware and/or hosting phishing scams.There is a plethora of URL blacklists/reputation services, out of which Google's Safe Browsing and Microsoft's SmartScreen stand out as the two most commonly used ones.Frequently, such lists are the only safeguard web browsers implement against such threats. In this paper, we examine the level of protection that is offered by popular web browsers on iOS, Android and desktop (Windows) platforms, against a large set of phishing and malicious URL. The results reveal that most browsers e especially those for mobile devices e offer limited protection against such threats. As a result, we propose and evaluate a countermeasure, which can be used to significantly improve the level of protection offered to the users, regardless of the web browser or platform they are using.

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Section: Phishingmentioning

confidence: 99%

Security Busters: Web browser security vs. rogue sites

Virvilis

Mylonas

Tsalis

et al. 2015

Computers & Security

View full text Add to dashboard Cite

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“…The battle against phishing has been continuing and the relevant current prevention and detection strategies are presented next. Generally, most browser vendors adopt two approaches against phishing: blacklist and heuristic-based [10]. In the first method, the target URL will be checked from the phishing blacklist before accessing the URL, but this static method cannot prevent phishing completely.…”

Section: Related Workmentioning

confidence: 99%

“…The mobile user is unable to know whether the accessed URL address is safe, especially if the user lacks security awareness. For example, Google Chrome provides much better security against phishing than other web browsers [10]. It shows a warning page if the accessed URL is malicious, but the Chrome browser does not provide this service on the mobile platform, as shown in Figure 2.…”

Section: Related Workmentioning

confidence: 99%

A Novel Method to Prevent Phishing by using OCR Technology

Wang

Duncan

2019

2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)

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Phishing is one of the most common attacks in the world, especially with the increasing usage of mobile platforms and e-commerce. Although many users are weary of phishing attacks from suspicious paths in the URL address, phishing still accounts for a large proportion of all of malicious attacks as it is easy to deploy. Most browser vendors mainly adopt two approaches against phishing; the blacklist and the heuristicbased. However, both have related limitations. In this paper, a novel method was proposed to protect against phishing attacks. By using image recognition (OCR) technology, phishing attacks can be distinguished from the actual website by reading the logos on the website and comparing with the site URL. An easy to implement prototype demonstrated a high accuracy of detection in the experimental trials.

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“…Hijacker can hide on the way of all routing nodes. The means of hijacking are endless and continue to retrofit, such as homepage modifying, process hooking, system boot hijacking, LSP injection, browser plug-in hijacking [1], HTTP proxy filter [2], kernel data packet hijacking [3], bootkit [4], CDN cache pollution [5].…”

Section: Introductionmentioning

confidence: 99%

“…Several typical methods of HTTP hijacking [6]: (1)Hijackers add or tamper the channel code of Ad network or website promotion. They mainly aimed at website navigation, web search engine and some major e-commerce website.…”

Section: Introductionmentioning

confidence: 99%

Co_Hijacking Monitor: Collaborative Detecting and Locating Mechanism for HTTP Spectral Hijacking

Wang

Chen

2017

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing,

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With the rapid growth of mobile internet, mobile application, like website navigation, searching, e-Shopping and app download, etc. are all popular in worldwide. Meanwhile, it become more and more popular that traditional HTTP protocol, which is also applying in not only web browsing but also communication between mobile application clients and servers. Besides, it has made HTTP Hijacking profitable. Furthermore, it has brought a lot of troubles for users, network operators and ISP. We analyze the principle of HTTP spectral Hijacking and present a mechanism of collaboratively detecting and locating called Co HijackingMonitor. Experimental result shows that, Co HijackingMonitor can solve the hijacking problem effectively.

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Which web browser work best for detecting phishing

Cited by 15 publications

References 11 publications

Security Busters: Web browser security vs. rogue sites

Security Busters: Web browser security vs. rogue sites

A Novel Method to Prevent Phishing by using OCR Technology

Co_Hijacking Monitor: Collaborative Detecting and Locating Mechanism for HTTP Spectral Hijacking

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