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Pler - Domain Probe and Cloudflare Filter Tool

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Pler is a simple yet powerful Python script to check whether a domain is using Cloudflare.
It is useful for bug bounty hunters, pentesters, or OSINT purposes, as it can filter results according to your needs.


✨ Features

  • Multi-threading → fast domain checks.
  • IPv4 & IPv6 support.
  • Result filtering → only IP, only domain, or domain + IP.
  • Cloudflare detection → quickly identify domains behind Cloudflare.
  • Unknown mode → show domains that cannot be resolved.
  • Save output to file for later use.
  • Silent Mode

📦 Installation

Clone the repository and install dependencies:

git clone https://github.com/justakazh/pler.git
cd pler
pip install -r requirements.txt

Or install directly from PyPI (if published):

pip install python-pler

⚙️ Usage

python3 pler.py [options]

Options

Argument Description
-d, --domain <domain> Target domain to check.
-l, --list <file> File containing list of domains (one per line).
-t, --threads <int> Number of threads (default: 3).
-ft, --filter-type {ip,domain,domain_ip} Output filter type.
-su, --show-unknown Show domains with unknown IP.
-sc, --show-cloudflare Show domains that use Cloudflare.
-o, --output <file> Save results to a file.
-s, --silent Disable banner & non-essential output.

🖥️ Examples

Check a single domain

pler -d example.com

Check from a file

pler -l subdomains.txt

Check via STDIN

echo "example.com" | pler
cat subdomains.txt | pler

Show only IP addresses

cat subdomains.txt | pler -ft ip

Show only domains

cat subdomains.txt | pler -ft domain

Show only domains using Cloudflare

cat subdomains.txt | pler -sc

Show only unknown IPs

cat subdomains.txt | pler -su

Save results to file

cat subdomains.txt | pler -ft domain_ip -o result.txt

📜 License

This project is licensed under the MIT License.

About

Pler - Domain Probe and Cloudflare Filter Tool. Pler is a simple yet powerful Python script to check whether a domain is using Cloudflare. It is useful for bug bounty hunters, pentesters, or OSINT purposes, as it can filter results according to your needs.

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