Reflected XSS Filtration

A Python-based project aimed at detecting reflected XSS vulnerabilities in websites. This project includes tools for crawling websites, generating and testing payloads, and analyzing results for vulnerability detection.

---

👥 Contributors

Thanks to the following contributors for their efforts in building this project:

• @maithilmishra
• @Piyush3012

---

🔍 Project Overview

This project is designed to:

1. Crawl website domains to identify vulnerable endpoints.
2. Generate optimized payloads for testing reflected XSS vulnerabilities.
3. Execute payloads and analyze responses to detect vulnerabilities.

---

🛠️ Features

• Website Crawling: Extract HTML code, methods (GET, POST, etc.), and potential vulnerable endpoints.
• Payload Generation: Create optimized payloads from predefined patterns.
• Payload Execution: Send requests with crafted payloads to test for vulnerabilities.
• Result Analysis: Detect and log reflected XSS vulnerabilities.
• Output Files: Store results in structured files for easy review.

---

⚙️ Installation

1. Clone the repository:

   git clone https://github.com/your-username/Reflected-XSS-Filtration.git
   cd Reflected-XSS-Filtration

2. Install dependencies:

   pip install -r requirements.txt

---

⚙️ Usage

1️⃣ Run the Crawler

Extract website data and identify potential vulnerabilities:

python Crawler.py

• Input: URL of the target website.
• Output:
  • HTML files stored in the html_files/ directory.
  • Method and URL data in url.txt and url_data.json.

2️⃣ Execute Request Collection

Collect and log all request types:

python RequestCrawl.py

• Output:
  • Collected requests in request.txt and request.json.

3️⃣ Generate Payloads

Create multiple payloads for testing:

python payload_generation.py

• Output: Payloads saved in payloads.txt.

4️⃣ Execute Payloads

Test the generated payloads on the identified endpoints:

python Payload_exec.py

• Output: Responses logged in result.txt.

5️⃣ Analyze Results

Identify vulnerabilities based on payload responses:

python Payload_exec_analyzer.py

• Output: Vulnerability analysis stored in analysis_results.txt.

---

📄 Project Structure

• Crawler.py: Crawls the target website, extracts HTML, and identifies endpoints.
• RequestCrawl.py: Collects and logs request types and responses.
• payload_generation.py: Generates payloads for testing.
• Payload_exec.py: Executes payloads against identified endpoints.
• Payload_exec_analyzer.py: Analyzes responses to detect vulnerabilities.
• Output Directories and Files:
  • html_files/: Stores HTML codes from crawled pages.
  • url.txt, url_data.json: Stores crawled URL and method data.
  • request.txt, request.json: Logs collected request information.
  • payloads.txt: Stores generated payloads.
  • result.txt: Logs payload execution responses.
  • analysis_results.txt: Stores analysis results for vulnerabilities.

---

🚀 Future Enhancements

1. Machine Learning Integration:

   • Use ML models to analyze patterns in endpoints and responses.
   • Automate advanced payload generation based on detected vulnerabilities.

2. Enhanced Detection:

   • Implement algorithms to identify hidden or nested vulnerabilities.
   • Add support for detecting DOM-based XSS vulnerabilities.

3. Visualization:

   • Create dashboards for visualizing results and payload efficacy.

---

🛡️ Disclaimer

This project is for educational purposes only. Unauthorized use to exploit vulnerabilities is strictly prohibited. Always ensure you have proper authorization before testing.

---

Feel free to upload this to your repository, and let me know if you’d like additional changes or examples! 😊