🔍 Fastly SNI Scanner for V2Ray REALITY

This project helps you dynamically scan and validate Fastly CDN-backed domains and subdomains to identify clean SNI + IP pairs that are compatible with V2Ray REALITY protocol.

It checks for:

• Valid DNS resolution
• Support for TLS 1.3
• Valid SSL certificate matching the SNI

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📁 Project Structure

File	Description
fastly_sni_scanner.py	Main Python script to scan Fastly domains for TLS 1.3 + valid SNI
run_fastly_scanner.sh	Bash script to set up Python virtual environment, install dependencies, and run the scanner
fastly_source.txt	List of candidate Fastly domains/subdomains (one per line) to scan

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⚙️ Requirements

• Python 3.7+
• pip for package installation

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🚀 Usage

1. Clone the repo

git clone https://github.com/magetaba/fastly_sni_scanner.git
cd fastly_sni_scanner

2. Make the shell script executable

chmod +x run_fastly_scanner.sh

3. Run the script

./run_fastly_scanner.sh

This will:

• Create a Python virtual environment if not already created
• Install required dependencies: requests and dnspython
• Run the scanner and test domains listed in fastly_source.txt
• Save working results to fastly_sni_working.txt

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📦 Example Output

Testing pbs.twimg.com → 151.101.1.91
 ✅ WORKS

🧾 Working SNI / IP results:
pbs.twimg.com → 151.101.1.91

📁 Saved 1 entries → fastly_sni_working.txt

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✍️ How to Add More Domains

Edit fastly_source.txt and add one domain per line (no https:// or slashes):

creators.spotify.com
pbs.twimg.com
slate.com

You can also include wildcards like *.example.com — the script will sanitize and parse them.

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🤝 Credits

Developed by Magetaba → @official_subzero

If you find this useful, consider sharing or contributing!

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🛡️ License

MIT License