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Shannon is an autonomous AI penetration testing system built to find and prove real, exploitable vulnerabilities in web applications rather than stopping at static warnings or best-guess alerts. It focuses on “proof by exploitation,” meaning it actively hunts for attack vectors in your code and then attempts to execute end-to-end exploits to demonstrate impact. The project blends source-aware analysis with automated web interaction so it can validate issues like injection flaws, authentication bypasses, and other exploitable paths in a way that resembles an actual attacker’s workflow. Instead of requiring you to manually reproduce findings, Shannon is designed to produce actionable evidence that a weakness can be weaponized, which helps teams prioritize what truly matters. ...

Inspecting a mobile app's HTTPS traffic using a proxy is probably the easiest way to figure out how it works. However, with the Network Security Configuration introduced in Android 7 and app developers trying to prevent MITM attacks using certificate pinning, getting an app to work with an HTTPS proxy has become quite tedious.

Perform advanced MiTM attacks on websites with ease. Injectify is a modern web based MiTM tool, similiar to BeEF (although completely unrelated in terms of source code). It features cross-platform clients (Web, Desktop, Browser extension). Create a reverse Javascript shell between the victim and the attacker. Records keystrokes and logs them to a database.