Search Results for "mobile security"

BeEF is short for The Browser Exploitation Framework. It is a penetration testing tool that focuses on the web browser. Amid growing concerns about web-borne attacks against clients, including mobile clients, BeEF allows the professional penetration tester to assess the actual security posture of a target environment by using client-side attack vectors. Unlike other security frameworks, BeEF looks past the hardened network perimeter and client system, and examines exploitability within the context of the one open door: the web browser. ...

Remote isolated browser API for security, automation visibility and interactivity. Run-on our cloud, or bring your own. Full scope double reverse web proxy with a multi-tab, mobile-ready browser UI frontend. Plus co-browsing, advanced adaptive streaming, secure document viewing and more! But only in the Pro version. BrowserBox is a full-stack component for a web browser that runs on a remote server, with a UI you can embed on the web.

pH7Builder is a Professional, Free & Open Source PHP Social Dating Builder Software (primarily designed for developers ...). This Social Dating Web App is fully coded in object-oriented PHP (OOP) with the MVC pattern (Model-View-Controller). It is low resource-intensive, extremely powerful and highly secure. pH7Builder is included with over 42 native modules and is based on its homemade pH7 Framework which includes more than 52 packages To summarize, pH7Builder Social Dating Script...

...Major features include a wiki engine, news articles, discussion forums, newsletters, blogs, file galleries, bug and issue trackers (form generator), polls/surveys and quizzes, banner management system, calendar, maps, mobile , RSS feeds, category system, tags, an advanced themeing engine, spreadsheet, drawings, inter-user messaging, menus, advanced permission system for users and groups, search engine, external authentication, etc. Security reports: https://security.tiki.org

This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test).