Web Application Security Scanner | Breaking Cybersecurity News | The Hacker News

WAF (Web Application Firewall) has been the first line of defence when it comes to application security for a while now. Many organizations have adopted WAF in one form or the other and most cases, compliance has been the driver for adoption. But unfortunately, when it comes to the efficacy of WAF in thwarting attacks, it has not lived up to the expectations. In most organizations, WAF has always remained in log mode with a little process to monitor and react, rendering the solution ineffective. The major challenge with effective deployment of WAF is: Applications are unique, and there is no silver bullet set of rules that will protect them all, Most WAF's do not try to understand the risk profile of the application; they end up providing common out of box vanilla rules that seldom works. Each application has its own intricacies and the out of the box rules that many WAF vendors provide create a lot of FPs (False Positives) or FNs (False Negatives), For proper implement

Yahoo! has open-sourced Gryffin – a Web Application Security Scanner – in an aim to improve the safety of the Web for everyone. Currently in its beta, Project Gryffin has made available on Github under the BSD-style license that Yahoo! has been using for a number of its open-sourced projects. Gryffin is basically a Go & JavaScript platform that helps system administrators scan URLs for malicious web content and common security vulnerabilities, including SQL Injection and Cross-Site Scripting (XSS) . Yahoo! describes Gryffin as a large-scale Web security scanning platform, which is more than just a scanner, as it is designed to address two specific problems: Coverage Scale Scale is obviously implied for large Web, while Coverage has two dimensions – Crawl and Fuzzing . Crawl's ability is to find as much of the Web application's footprint as possible, whereas Fuzzing involves testing each part of the application's components for an applied se

Imagine a world where the software that powers your favorite apps, secures your online transactions, and keeps your digital life could be outsmarted and taken over by a cleverly disguised piece of code. This isn't a plot from the latest cyber-thriller; it's actually been a reality for years now. How this will change – in a positive or negative direction – as artificial intelligence (AI) takes on a larger role in software development is one of the big uncertainties related to this brave new world. In an era where AI promises to revolutionize how we live and work, the conversation about its security implications cannot be sidelined. As we increasingly rely on AI for tasks ranging from mundane to mission-critical, the question is no longer just, "Can AI  boost cybersecurity ?" (sure!), but also "Can AI  be hacked? " (yes!), "Can one use AI  to hack? " (of course!), and "Will AI  produce secure software ?" (well…). This thought leadership article is about the latter. Cydrill  (a