Skip to content

Latest commit

 

History

History
207 lines (154 loc) · 6.65 KB

README.md

File metadata and controls

207 lines (154 loc) · 6.65 KB
Raw

XSS Finder

XSS Finder is an automated tool designed to detect Cross-Site Scripting (XSS) vulnerabilities in web applications. It uses a set of predefined payloads to scan target URLs and logs the results. Additionally, the tool generates detailed reports of any identified vulnerabilities in JSON format, allowing for easy tracking and analysis.

Table of Contents

Features

  • Targeted XSS Scanning: Input a target URL to test against various XSS payloads.
  • Configurable Payloads: Easily add or modify payloads for testing.
  • Detailed Logging: Capture the results of each scan, including payloads tested and vulnerabilities found.
  • Automated Reporting: Generate comprehensive JSON reports of vulnerabilities.
  • Customizable Settings: Set request timeouts, and log locations, and manage scan configurations with ease.

Installation

Prerequisites

Ensure that you have Python 3.x installed. You can download it from the official Python website: https://www.python.org/downloads/.

Clone the Repository

git clone https://github.com/HikmatAsifli/xssFinder.git
cd xssFinder

Install Dependencies

Install the required dependencies using pip:

pip install -r requirements.txt

Usage

Basic Scanning

To run a basic scan against a target URL, execute the following command:

python src/main.py

You will be prompted to enter the target URL:

Enter the target URL: https://example.com

The script will then inject predefined XSS payloads and log any detected vulnerabilities.

Advanced Scanning

For advanced users, XSS Finder offers several customization options. You can modify payloads, adjust settings, and generate more comprehensive reports.

Custom Payloads

To use custom payloads, simply modify or add new payloads to the src/payloads/payloads.py file:

PAYLOADS = [
    "<script>alert('XSS')</script>",
    "<img src=x onerror=alert('XSS')>",
    "';alert(String.fromCharCode(88,83,83))//",
    "<svg onload=alert(1)>"
]

Timeout Configuration

If you need to adjust the request timeout for slower servers, modify the TIMEOUT variable in settings.py:

TIMEOUT = 10  # Set timeout to 10 seconds

Batch Scanning

You can scan multiple URLs by looping through them in the main.py file. For example:

urls = ["https://example1.com", "https://example2.com"]

for url in urls:
    # Call scanner for each URL
    scan_url(url)

Configuration

The config/settings.py file contains key settings for the script:

  • TARGET_URL: Input the URL for scanning. This can be set directly or prompted during runtime.
  • TIMEOUT: Define the request timeout in seconds. Example settings:
TARGET_URL = input("Enter the target URL: ")
TIMEOUT = 5  # Request timeout in seconds

Payload Configuration

Payloads are defined in src/payloads/payloads.py. Modify the predefined payloads or add new ones to extend the scanning capabilities:

PAYLOADS = [
    "<script>alert('XSS')</script>",
    "<img src=x onerror=alert('XSS')>",
    "';alert(String.fromCharCode(88,83,83))//",
    "<svg onload=alert(1)>"
]

Logging

XSS Finder maintains a detailed log of all scan results in logs/scan.log. The log contains information about which payloads were tested and whether the target was vulnerable:

2024-09-14 10:15:30 Payload: <script>alert('XSS')</script>, Vulnerable: True
2024-09-14 10:15:32 Payload: <img src=x onerror=alert('XSS')>, Vulnerable: False

To customize the logging format or log location, edit utils/utils.py:

logging.basicConfig(filename='logs/scan.log',
                    format='%(asctime)s %(message)s',
                    level=logging.INFO)

Log Customization

You can also log additional data such as HTTP responses, payload execution time, and more by extending the log_scan_results function in utils/utils.py.

Report Generation

At the end of each scan, XSS Finder generates a JSON report detailing the vulnerabilities found. The report is saved as xss_report.json in the project directory and includes all tested payloads and the vulnerability status of the target.

To customize report generation, edit src/reports/report_generator.py:

def generate_report(vulnerabilities, file_name="xss_report.json"):
    with open(file_name, 'w') as report_file:
        json.dump(vulnerabilities, report_file, indent=4)
    print(f"Report generated: {file_name}")

Sample Report

{
    "target_url": "https://example.com",
    "vulnerabilities": [
        {
            "payload": "<script>alert('XSS')</script>",
            "vulnerable": true
        },
        {
            "payload": "<img src=x onerror=alert('XSS')>",
            "vulnerable": false
        }
    ]
}

Extending the Tool

Adding New Payloads

To add new XSS payloads, simply append them to the PAYLOADS list in src/payloads/payloads.py. You can also import payloads from external sources or files.

Advanced Logging

For more advanced logging (e.g., recording HTTP response headers, request bodies), extend the log_scan_results function to capture additional information about each request.

Multi-threaded Scanning

For faster scanning, implement multi-threading using Python’s threading module. This can be particularly useful when scanning multiple URLs or a target with a large number of input fields.

import threading

# Example of multi-threaded scanning
thread = threading.Thread(target=scan_url, args=(url,))
thread.start()

Best Practices

  • Always seek permission before testing websites for vulnerabilities.
  • Update the payloads regularly to include new XSS patterns.
  • Keep the logging and reporting structured for easy analysis.

Contributing

We welcome contributions! If you would like to report an issue, suggest a feature, or submit a pull request, please follow the standard GitHub workflow.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/your-feature)
  3. Commit your changes (git commit -am 'Add your feature')
  4. Push to the branch (git push origin feature/your-feature)
  5. Open a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.