XSS Testing & Payload Generator
┌──(System32㉿xss-toolkit)-[~/cross-site-scripting]
└─$ ./xss_generator.py --context-aware --educational
XSS Testing & Payload Generator
Generate context-aware XSS payloads for authorized security testing and educational purposes. Includes encoding utilities, bypass techniques, and comprehensive vulnerability research tools.
ETHICAL TESTING ONLY: This tool is designed exclusively for authorized penetration testing, bug bounty programs, and educational security research. Unauthorized testing is illegal and unethical.
XSS Payload Generator
Encoding & Obfuscation
XSS Attack Types & Prevention
Cross-Site Scripting (XSS) is a web security vulnerability that allows attackers to inject malicious scripts into web pages viewed by other users. Understanding XSS is crucial for both offensive and defensive security.

Reflected XSS

Malicious script is reflected off a web server, such as in an error message or search result.

Stored XSS

Malicious script is permanently stored on target servers, such as in databases or message forums.

DOM-based XSS

Vulnerability exists in client-side code rather than server-side code.

Blind XSS

Similar to stored XSS but occurs in applications that don't reflect the output back to the user.

Common XSS Contexts:
HTML Context: Direct injection into HTML content
Attribute Context: Injection into HTML attributes
JavaScript Context: Injection into JavaScript code
CSS Context: Injection into CSS stylesheets
URL Context: Injection into URL parameters

Prevention Techniques:
Input Validation: Validate and sanitize all user inputs
Output Encoding: Encode data when outputting to HTML
Content Security Policy (CSP): Restrict resource loading
HTTPOnly Cookies: Prevent JavaScript access to cookies
X-XSS-Protection Header: Enable browser XSS filtering

Testing Methodology:
• Identify input vectors and reflection points
• Test different contexts (HTML, attribute, JavaScript, etc.)
• Attempt encoding bypasses and filter evasion
• Test for stored XSS in persistent data
• Verify impact and create proof-of-concept
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