对抗网络钓鱼:动态安全皮肤

Rachna Dhamija, J. D. Tygar
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引用次数: 556

摘要

网络钓鱼是一个模型问题,用于说明隐私和安全的可用性问题,因为系统设计者和攻击者都在使用用户界面来引导(或误导)用户。我们提出了一种新的方案,动态安全皮肤,它允许远程web服务器以一种易于人类用户验证且攻击者难以欺骗的方式证明其身份。我们描述了实现该方案的Mozilla Firefox浏览器扩展的设计。我们提出了两种新的交互技术来防止欺骗。首先,我们的浏览器扩展在浏览器中提供了一个可信的窗口,专门用于用户名和密码输入。我们使用照片图像在用户和此窗口之间创建可信路径,以防止欺骗窗口和文本输入字段。其次,我们的方案允许远程服务器为每个用户和每个事务生成唯一的抽象图像。该图像创建了一个“皮肤”,可以自动自定义浏览器窗口或远程网页内容中的用户界面元素。我们的扩展允许用户的浏览器独立计算它期望从服务器接收的图像。要验证来自服务器的内容,用户可以直观地验证图像是否匹配。我们将我们的工作与现有的反网络钓鱼建议进行对比。与其他方案相比,我们的方案在努力、内存和时间方面对用户的负担非常低。为了验证自己,用户必须只识别一个图像并记住一个低熵密码,无论他希望与多少台服务器交互。要验证来自已验证服务器的内容,用户只需要执行一个视觉匹配操作来比较两个图像。此外,它还增加了攻击者欺骗自定义安全指示器的负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The battle against phishing: Dynamic Security Skins
Phishing is a model problem for illustrating usability concerns of privacy and security because both system designers and attackers battle using user interfaces to guide (or misguide) users.We propose a new scheme, Dynamic Security Skins, that allows a remote web server to prove its identity in a way that is easy for a human user to verify and hard for an attacker to spoof. We describe the design of an extension to the Mozilla Firefox browser that implements this scheme.We present two novel interaction techniques to prevent spoofing. First, our browser extension provides a trusted window in the browser dedicated to username and password entry. We use a photographic image to create a trusted path between the user and this window to prevent spoofing of the window and of the text entry fields.Second, our scheme allows the remote server to generate a unique abstract image for each user and each transaction. This image creates a "skin" that automatically customizes the browser window or the user interface elements in the content of a remote web page. Our extension allows the user's browser to independently compute the image that it expects to receive from the server. To authenticate content from the server, the user can visually verify that the images match.We contrast our work with existing anti-phishing proposals. In contrast to other proposals, our scheme places a very low burden on the user in terms of effort, memory and time. To authenticate himself, the user has to recognize only one image and remember one low entropy password, no matter how many servers he wishes to interact with. To authenticate content from an authenticated server, the user only needs to perform one visual matching operation to compare two images. Furthermore, it places a high burden of effort on an attacker to spoof customized security indicators.
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