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Escaping AngularJS Sandbox and CSP with Reflected XSS in XSS-Lab 26

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XSS-Lab 26: Reflected XSS with AngularJS sandbox escape and CSP

XSS-Lab 26: Reflected XSS with AngularJS sandbox escape and CSP

XSS-Lab 26 is a vulnerable web application that demonstrates a specific type of cross-site scripting (XSS) attack known as reflected XSS with AngularJS sandbox escape and Content Security Policy (CSP) bypass.

In this lab, the application is built using AngularJS, a popular JavaScript framework that provides powerful features for building dynamic web applications. However, AngularJS also introduces potential security risks, especially when dealing with user input.

The vulnerability in XSS-Lab 26 allows an attacker to inject malicious scripts into the application, which can then be executed in the context of the user’s browser. In this scenario, the attacker can exploit the AngularJS sandbox escape mechanism to execute arbitrary code and bypass the CSP restrictions imposed by the application.

To exploit the vulnerability, an attacker needs to craft a malicious payload that triggers a reflected XSS attack when the user interacts with the vulnerable input field. By leveraging the AngularJS sandbox escape mechanism, the attacker can execute JavaScript code within the application’s context, allowing them to steal sensitive user data or perform other malicious actions.

Additionally, the attacker can bypass the CSP protections implemented by the application, which restrict the types of content that can be loaded and executed on the page. By leveraging the AngularJS sandbox escape and CSP bypass techniques, the attacker can evade security controls and carry out their attack successfully.

XSS-Lab 26 serves as a valuable learning tool for security researchers, developers, and penetration testers to understand the risks associated with XSS attacks, AngularJS sandbox escape, and CSP bypass techniques. By identifying and addressing these vulnerabilities, organizations can improve their web application security and protect their users from potential exploitation.