Exploring Blind XSS Vulnerabilities with xss0r’s Latest Release

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2025-02-16

The latest release of xss0r introduces groundbreaking features for detecting and exploiting Blind XSS vulnerabilities. This update is packed with tools and enhancements designed to provide penetration testers and cybersecurity experts with unparalleled capabilities. Below is a detailed breakdown of the new features and how they can be utilized in practice.

Device & Browser Information:

  • Device Type: Detect whether the target is using Android, iPhone/iOS, or PC.
  • Device Category: Identify if the device is mobile or desktop.
  • Browser Details: Capture URL, domain, cookies, referrer, user agent, language, platform, and timezone.

Screen & Window Details:

  • Screen Resolution: Determine the screen resolution and color depth.
  • Window Size: Capture the window size and check for touch support.

Geolocation:

  • Latitude and Longitude: Accurately pinpoint the target’s location.

Network & IP Address:

  • Local and Public IP Address: Identify the local and public IP addresses.
  • Network Type: Determine the network type and downlink speed.

Battery Information:

  • Battery Level: Check the battery level and charging status.

Hardware Details:

  • CPU Cores: Detect the number of CPU cores.
  • GPU Info: Identify the GPU vendor and renderer.

Browser Plugins & MIME Types:

  • Installed Plugins: List all installed browser plugins.
  • Supported MIME Types: Capture supported MIME types.

Media Access:

  • Webcam & Microphone Permissions: Check for webcam and microphone access.

Security Features:

  • Admin Panel Check: Detect if the target has access to an admin panel.
  • API Key Detection: Identify API keys in use.
  • CSRF Token Detection: Detect CSRF tokens.

File Inclusion:

  • File Access Attempt: Attempt to access files on the target system.

Document Content:

  • Document Body: Capture the content of the document body.

Blind XSS Enhancements:

  • Account Takeovers: New module for detecting account takeover vulnerabilities.
  • Notifications: Telegram and email notifications for triggered alerts.
  • Screenshots: Capture screenshots of the target’s screen.
  • Cookies: Extract cookies from the target’s browser.
  • Page Titles: Capture page titles.
  • DOM Source: Extract the DOM source.
  • Local Storage: Access local storage data.
  • IP Addresses: Capture IP addresses.

Speed & Design Overhaul:

  • Faster Interface: Experience a faster and more user-friendly interface.

Practice Verified Codes and Commands:


<h1>Example command to capture browser details</h1>

curl -X POST -d "url=http://target.com" http://xss0r.com/api/capture

<h1>Example command to detect Blind XSS</h1>

python3 xss0r.py --url http://target.com --payload "<script>alert('XSS')</script>"

<h1>Example command to extract cookies</h1>

curl -X GET http://xss0r.com/api/extract-cookies --header "Authorization: Bearer YOUR_API_KEY"

What Undercode Say:

Blind XSS vulnerabilities are a critical concern in modern web applications, and the latest release of xss0r provides a comprehensive suite of tools to detect and exploit these vulnerabilities. The new features, such as device and browser information capture, geolocation, and network details, offer penetration testers a significant advantage. The ability to capture screenshots, cookies, and DOM source code further enhances the tool’s effectiveness. The inclusion of notifications via Telegram and email ensures that testers are immediately alerted to any triggered vulnerabilities. The speed and design overhaul make xss0r not only more powerful but also more user-friendly. For those looking to stay ahead in the cybersecurity field, mastering these tools is essential. The provided commands and codes are practical examples of how to leverage xss0r’s capabilities in real-world scenarios. As always, ethical considerations should guide the use of such powerful tools, ensuring they are used to enhance security rather than exploit it. For further reading and advanced techniques, visit xss0r’s official website.

References:

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