endabyss 1.2.0

Red Teaming and Web Bug Bounty Fast Endpoint Discovery Tool

🌊 EndAbyss

EndAbyss is a fast endpoint discovery tool that crawls websites to collect endpoints and parameters for bug bounty and red team operations.

🌟 Features

• Red Team/Bug Bounty Support: Useful for both red team operations and web bug bounty projects
• Static/Dynamic Scanning: Fast static scanning or Playwright-based dynamic scanning for modern frameworks
• Endpoint Discovery: Automatic collection of endpoints from HTML, JavaScript, and API responses
• Parameter Extraction: Automatic extraction of GET/POST parameters from forms and URLs
• Directory Scanning: Wordlist-based directory brute-forcing support
• Pipeline Integration: Supports integration with other tools using -pipeurl, -pipeendpoint, -pipeparam, -pipejson options
• WAF Bypass Options: Delay, random delay, rate limiting, and proxy support
• Modular Design: Can be imported and used as a Python module

🚀 Installation

bash

git clone https://github.com/arrester/endabyss.git
cd endabyss
pip install -r requirements.txt
pip install -e .

or

Python

pip install endabyss

For dynamic scanning mode, install Playwright browsers:

playwright install chromium

📖 Usage

CLI Mode

Basic Scan

endabyss -t http://example.com

Dynamic Scanning Mode

endabyss -t http://example.com -m dynamic

Directory Scanning

endabyss -t http://example.com -ds -w wordlist.txt

Pipeline Output

endabyss -t http://example.com -pipeurl # Output URLs only

endabyss -t http://example.com -pipeendpoint # Output endpoints only

endabyss -t http://example.com -pipeparam # Output parameters only

endabyss -t http://example.com -pipejson # Output JSON format

Pipeline Integration Example

endabyss -t http://example.com -pipeurl | sqlmap --batch

Integration with SubSurfer

Pipeline configuration for scanning endpoints with EndAbyss from web subdomains collected by SubSurfer:

1. Basic Integration (Web Subdomains → Endpoint Collection)

subsurfer -t example.com -pipeweb | xargs -I {} endabyss -t {} -pipeurl

2. Save Results to File

subsurfer -t example.com -pipeweb | xargs -I {} endabyss -t {} -o results.txt

3. Integration with Dynamic Scan Mode

subsurfer -t example.com -pipeweb | xargs -I {} endabyss -t {} -m dynamic -pipeurl

4. Collect Detailed Information in JSON Format

subsurfer -t example.com -pipeweb | xargs -I {} endabyss -t {} -pipejson

5. Include Directory Scanning

subsurfer -t example.com -pipeweb | xargs -I {} endabyss -t {} -ds -w wordlist.txt -pipeurl

Using as a Python Module

Basic Endpoint Scan

from endabyss.core.controller.controller import EndAbyssController
import asyncio

async def main():
    controller = EndAbyssController(
        target="http://example.com",
        mode="static",
        verbose=1,
        depth=5
    )
    
    results = await controller.scan()
    
    print(f"Found {len(results['endpoints'])} endpoints")
    print(f"Found {len(results['forms'])} forms")
    print(f"Found {len(results['parameters'])} parameter sets")
    
    for param_data in results['parameters']:
        url = param_data['url']
        params = param_data.get('parameters', {})
        param_str = '&'.join([f"{k}={v}" for k, v in params.items()])
        print(f"{url}?{param_str} [{param_data['method']}]")

if __name__ == "__main__":
    asyncio.run(main())

Dynamic Scanning

from endabyss.core.controller.controller import EndAbyssController
import asyncio

async def main():
    controller = EndAbyssController(
        target="http://example.com",
        mode="dynamic",
        headless=True,
        wait_time=3.0
    )
    
    results = await controller.scan()
    
    for endpoint in results['endpoints']:
        print(endpoint['url'])

if __name__ == "__main__":
    asyncio.run(main())

Result Save

from endabyss.core.controller.controller import EndAbyssController
import asyncio

async def main():
    controller = EndAbyssController("http://example.com")
    
    results = await controller.scan()
    
    output_path = controller.get_output_path("results.json")
    controller.save_results(results, output_path)
    print(f"Results saved to: {output_path}")

if __name__ == "__main__":
    asyncio.run(main())

🔧 Key Features from Reference Tools

EndAbyss incorporates key features from various reference tools:

• Katana: Deep crawling and endpoint discovery methodology
• LinkFinder: JavaScript endpoint extraction using regex patterns
• ParamSpider: Parameter extraction and URL cleaning techniques
• SubSurfer: CLI design, pipeline integration, and modular architecture

📋 Available Options

Option	Description
-t, --target	Target URL or domain
-tf, --targetfile	File containing list of targets
-m, --mode	Scan mode: static (default) or dynamic
-d, --depth	Crawling depth (default: 5)
-c, --concurrency	Number of concurrent requests (default: 10)
-ds, --dirscan	Enable directory scanning
-w, --wordlist	Wordlist file for directory scanning
--delay	Delay between requests in seconds
--random-delay	Random delay range (e.g. 1-3)
--proxy	Proxy URL (HTTP/HTTPS/SOCKS5)
--rate-limit	Rate limit (requests per second)
-pipeurl	Output URLs only for pipeline
-pipeendpoint	Output endpoints only for pipeline
-pipeparam	Output parameters only for pipeline
-pipejson	Output JSON format for pipeline

📋 Requirements

• Recommended: Python 3.13.0 or later
• aiohttp
• beautifulsoup4
• playwright (for dynamic scanning)
• rich
• requests

📝 License

MIT License

🤝 Contributions

Bug Report, Feature Suggestions, Issue Report