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🔍 Advanced tool to detect gambling content injection on websites - Batch scanning, multi-threading support, comprehensive reporting for security audits
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README.md

🎯 GambleCheck - Website Gambling Content Detection Tool

Python License Platform

GambleCheck adalah tool Python yang powerful untuk mendeteksi konten judi yang ter-inject pada website. Tool ini menggunakan teknik analisis mendalam untuk mengidentifikasi berbagai jenis konten gambling yang tersembunyi.

🚀 Features

  • ✅ Batch Domain Scanning - Scan multiple domains dari file list
  • ✅ Multi-threading Support - Scanning paralel untuk performa optimal
  • ✅ Comprehensive Detection - Deteksi slot, casino, togel, betting keywords
  • ✅ Hidden Content Analysis - Analisis HTML comments & hidden elements
  • ✅ SSL Certificate Verification - Security assessment
  • ✅ Redirect Detection - Identifikasi redirect mencurigakan
  • ✅ Real-time Progress - Live monitoring dengan counter
  • ✅ Multiple Output Formats - Text report & JSON export
  • ✅ Risk Categorization - High/Medium/Low risk classification

📦 Installation

# Clone repository
git clone https://git.classy.id/gitea/gamble-detector.git
cd gamble-detector

# Install dependencies
pip install -r requirements.txt

# Make executable (Linux/macOS)
chmod +x gamblecheck.py

🔧 Dependencies

requests>=2.25.0
urllib3>=1.26.0

💻 Usage

Basic Usage

# Scan single domain
python3 gamblecheck.py --domain example.com

# Batch scan from file
python3 gamblecheck.py --file domains.txt

# Advanced batch scan
python3 gamblecheck.py --file domains.txt --workers 20 --timeout 15 --output report.txt

Command Line Options

--file, -f          File containing list of domains to scan
--domain, -d        Single domain to scan
--workers          Number of concurrent workers (default: 10)
--timeout          Request timeout in seconds (default: 10)
--output, -o       Output file for detailed report
--json             Output results in JSON format
--summary          Show only summary report

Domain List Format

Create a text file with domains (supports bullet points):

• example1.com
• example2.com
• example3.com

Or simple format:

example1.com
example2.com
example3.com

📊 Output Example

================================================================================
FINAL SCAN STATISTICS:
================================================================================
Total domains processed: 156
🚨 HIGH RISK:           3 domains
⚠️  MEDIUM RISK:         8 domains
⚡ LOW RISK:            12 domains
✅ CLEAN:               128 domains
❌ FAILED/ERROR:        5 domains
================================================================================
⚠️  WARNING: 3 domain(s) detected with HIGH RISK gambling content!

🎯 Detection Categories

Category Description Score Range
🚨 HIGH RISK Strong gambling indicators, multiple keywords ≥50
⚠️ MEDIUM RISK Some suspicious content detected 20-49
⚡ LOW RISK Minor indicators found 1-19
✅ CLEAN No gambling content detected 0
❌ FAILED Connection/access errors -

🔍 Detection Methods

Keyword Analysis

  • Slot Games: slot gacor, pragmatic play, gates of olympus, sweet bonanza
  • Casino: live casino, baccarat, blackjack, roulette, poker online
  • Sports Betting: sbobet, taruhan bola, mix parlay, handicap
  • Togel: togel online, keluaran hk, prediksi togel
  • General: deposit pulsa, bonus new member, cashback

Technical Analysis

  • HTML comments scanning
  • Hidden elements detection
  • Suspicious file paths checking
  • robots.txt analysis
  • SSL certificate verification
  • Redirect pattern analysis

📈 Performance

  • Multi-threading: Up to 20 concurrent workers
  • Speed: ~100-200 domains per minute (depends on network)
  • Memory: Low memory footprint
  • Reliability: Automatic retry with different protocols

🛡️ Security Features

  • User-Agent rotation
  • SSL verification bypass option
  • DNS resolution checking
  • Timeout protection
  • Error handling & recovery

📁 Project Structure

gamble-detector/
├── gamblecheck.py          # Main script
├── requirements.txt        # Python dependencies
├── README.md              # This file
└── domain.txt             # domain cek

🤝 Contributing

  1. Fork the repository
  2. Create feature branch (git checkout -b feature/AmazingFeature)
  3. Commit changes (git commit -m 'Add AmazingFeature')
  4. Push to branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📝 License

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

⚠️ Disclaimer

This tool is designed for security research and legitimate website auditing purposes only. Users are responsible for ensuring compliance with applicable laws and regulations. The authors are not responsible for any misuse of this tool.

🐛 Bug Reports & Feature Requests

Please use the GitHub Issues page to report bugs or request new features.

🌟 Show Your Support

Give a ⭐️ if this project helped you!

📞 Contact

Made with ❤️ for website security