The web has become an indispensable part of our lives. Unfortunately, as our dependency on the web increases, so does the interest of attackers in exploiting web applications and web-based information systems. Previous work in the field of web application security has mainly focused on the mitigation of Cross Site Scripting (XSS) and SQL injection attacks. In contrast, Cross Site Request Forgery (XSRF) attacks have not received much attention. In an XSRF attack, the trust of a web application in its authenticated users is exploited by letting the attacker make arbitrary HTTP requests on behalf of a victim user. The problem is that web applications typically act upon such requests without verifying that the performed actions are indeed intentional. Because XSRF is a relatively new security problem, it is largely unknown by web application developers. Furthermore, XSRF attacks can be quite subtle and not always easy to understand and avoid. As a result, there exist many web applications that are vulnerable to XSRF. Unfortunately, existing mitigation approaches are time-consuming and errorprone, as they require manual effort to integrate defense techniques into existing systems. In this paper, we present a solution that provides a completely automatic protection from XSRF attacks. More precisely, our approach is based on a server-side proxy that detects and prevents XSRF attacks in a way that is transparent to users as well as to the web application itself. We provide experimental results that demonstrate that we can use our prototype to secure a number of popular open-source web applications, without negatively affecting their behavior. 1

aims to steal sensitive information such as online banking passwords and credit card information from users. Phishing scams have been receiving extensive press coverage because such attacks have been escalating in number and sophistication. According to a study by Gartner, 57 million US Internet users have identified the receipt of e-mail linked to phishing scams and about 2 million of them are estimated to have been tricked into giving away sensitive information. This paper presents a novel browser extension, AntiPhish, that aims to protect users against spoofed web site-based phishing attacks. To this end, AntiPhish tracks the sensitive information of a user and generates warnings whenever the user attempts to give away this information to a web site that is considered untrusted.