基于js的反网络钓鱼可视化分析,减轻用户对SSL/TLS的过度信任

P. Mensah, Grégory Blanc, Kazuya Okada, Daisuke Miyamoto, Y. Kadobayashi
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引用次数: 8

摘要

HTTPS网站通常被用户认为是安全的,因为使用了SSL/TLS协议。因此,通过该协议发送的网络钓鱼网页也受益于更高级别的信任。在本文中,我们评估了启发式方法(如证书信息、SSL/TLS协议版本和服务器选择的密码套件)在识别网络钓鱼网站中的相关性。我们得出的结论是,由于网络钓鱼和合法网站的相似之处,它们的辨别能力不够。此外,考虑到托管在云服务平台或被黑客入侵的域名上的网络钓鱼页面,我们发现用户很容易被提供的证书所欺骗,因为它属于网站的合法所有者。因此,我们进一步研究了托管在被攻击域名上的HTTPS网络钓鱼网站,以提出一种基于其视觉身份的检测方法。事实上,寄生页面在域名上的存在是对原始网站整体视觉一致性的破坏。通过设计一个智能感知系统,负责提取和比较这些不同的渲染图,我们能够以87%到92%的准确率发现网络钓鱼页面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AJNA: Anti-phishing JS-based Visual Analysis, to Mitigate Users' Excessive Trust in SSL/TLS
HTTPS websites are often considered safe by the users, due to the use of the SSL/TLS protocol. As a consequence phishing web pages delivered via this protocol benefit from that higher level of trust as well. In this paper, we assessed the relevance of heuristics such as the certificate information, the SSL/TLS protocol version and cipher-suite chosen by the servers, in the identification of phishing websites. We concluded that they were not discriminant enough, due to the close profiles of phishing and legitimate sites. Moreover, considering phishing pages hosted on cloud service platform or hacked domains, we identified that the users could easily be fooled by the certificate presented, since it would belong to the rightful owner of the website. Hence, we further examined HTTPS phishing websites hosted on hacked domains, in order to propose a detection method based on their visual identities. Indeed, the presence of a parasitic page on a domain is a disruption to the overall visual coherence of the original site. By designing an intelligent perception system responsible for extracting and comparing these divergent renderings, we were able to spot phishing pages with an accuracy of 87% to 92%.
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