Where We Stand (or Fall): An Analysis of CSRF Defenses in Web Frameworks

Cross-Site Request Forgery (CSRF) is among the oldest web vulnerabilities that, despite its popularity and severity, it is still an understudied security problem. In this paper, we undertake one of the first security evaluations of CSRF defense as implemented by popular web frameworks, with the overarching goal to identify additional explanations to the occurrences of such an old vulnerability. Starting from a review of existing literature, we identify 16 CSRF defenses and 18 potential threats agains them. Then, we evaluate the source code of the 44 most popular web frameworks across five languages (i.e., JavaScript, Python, Java, PHP, and C#) covering about 5.5 million LoCs, intending to determine the implemented defenses and their exposure to the identified threats. We also quantify the quality of web frameworks' documentation, looking for incomplete, misleading, or insufficient information required by developers to use the implemented CSRF defenses correctly. Our study uncovers a rather complex landscape, suggesting that while implementations of CSRF defenses exist, their correct and secure use depends on developers' awareness and expertise about CSRF attacks. More than a third of the frameworks require developers to write code to use the defense, modify the configuration to enable CSRF defenses, or look for an external library as CSRF defenses are not built-in. Even when using defenses, developers need to be aware and address a diversity of additional security risks. In total, we identified 157 security risks in 37 frameworks, of which 17 are directly exploitable to mount a CSRF attack, leveraging implementation mistakes, cryptography-related flaws, cookie integrity, and leakage of CSRF tokens---including three critical vulnerabilities in CakePHP, Vert.x-Web, and Play. The developers' feedback indicate that, for a significant fraction of risks, frameworks have divergent expectations about who is responsible for addressing them. Finally, the documentation analysis reveals several inadequacies, including not mentioning the implemented defense, and not showing code examples for correct use

Large-Scale Analysis & Detection of Authentication Cross-Site Request Forgeries

Cross-Site Request Forgery (CSRF) attacks are one of the critical threats to web applications. In this paper, we focus on CSRF attacks targeting web sites' authentication and identity management functionalities. We will refer to them collectively as Authentication CSRF (Auth-CSRF in short). We started by collecting several Auth-CSRF attacks reported in the literature, then analyzed their underlying strategies and identified 7 security testing strategies that can help a manual tester uncover vulnerabilities enabling Auth-CSRF. In order to check the effectiveness of our testing strategies and to estimate the incidence of Auth-CSRF, we conducted an experimental analysis considering 300 web sites belonging to 3 different rank ranges of the Alexa global top 1500. The results of our experiments are alarming: out of the 300 web sites we considered, 133 qualified for conducting our experiments and 90 of these suffered from at least one vulnerability enabling Auth-CSRF (i.e. 68%). We further generalized our testing strategies, enhanced them with the knowledge we acquired during our experiments and implemented them as an extension (namely CSRF-checker) to the open-source penetration testing tool OWASP ZAP. With the help of CSRFchecker, we tested 132 additional web sites (again from the Alexa global top 1500) and identified 95 vulnerable ones (i.e. 72%). Our findings include serious vulnerabilities among the web sites of Microsoft, Google, eBay etc. Finally, we responsibly disclosed our findings to the affected vendors

Dictionary of privacy, data protection and information security

The Dictionary of Privacy, Data Protection and Information Security explains the complex technical terms, legal concepts, privacy management techniques, conceptual matters and vocabulary that inform public debate about privacy. The revolutionary and pervasive influence of digital technology affects numerous disciplines and sectors of society, and concerns about its potential threats to privacy are growing. With over a thousand terms meticulously set out, described and cross-referenced, this Dictionary enables productive discussion by covering the full range of fields accessibly and comprehensively. In the ever-evolving debate surrounding privacy, this Dictionary takes a longer view, transcending the details of today''s problems, technology, and the law to examine the wider principles that underlie privacy discourse. Interdisciplinary in scope, this Dictionary is invaluable to students, scholars and researchers in law, technology and computing, cybersecurity, sociology, public policy and administration, and regulation. It is also a vital reference for diverse practitioners including data scientists, lawyers, policymakers and regulators