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🦅 DorkEye > I don't hack systems, i expose their secrets <

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What is DorkEye

DorkEye is an advanced and automated python script for Google Dorking to identify exposed web resources using Open Source Intelligence techniques.

See the full documents below:

It helps discover:

• Indexed directories
• Sensitive files
• Admin panels
• Databases & backups
• Misconfigurations and leaked credentials

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Why DorkEye

• ✅ Bypass CAPTCHA and rate‑limiting
• ✅ Maintain anonymity and avoid IP blocking
• ✅ Clean and unfiltered search results
• ✅ Advanced analysis and automated SQLi testing
• ✅ Continue Dorking for hours, DorkEye won’t get banned.

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What’s New

WIZARD

Interactive menu

DORK GENERATOR

Generates structured Google dorks using a modular YAML template engine.

Automated SQL Injection Testing

• Error‑based SQLi
• Boolean‑based blind SQLi
• Time‑based blind SQLi
• Vulnerability confidence scoring

Advanced Analysis

• File metadata inspection (size, type, accessibility)
• Intelligent deduplication
• YAML / JSON configuration support

Stealth & Fingerprinting

• Realistic browser fingerprint rotation
• Dynamic delays to evade rate limits

📊 File Categorization

• 📄 Documents: .pdf .doc .xls
• 📦 Archives: .zip .rar .7z
• 🗄️ Databases: .sql .sqlite
• 💾 Backups: .bak .old
• ⚙️ Configs: .conf .ini .yaml
• 📜 Scripts: .php .jsp
• 🔑 Credentials: .env .git

💾 Export Formats available

• .csv .json .txt .html

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🚀 Features

• 🔎 Smart single/multi‑dork execution
• 🚫 Extension blacklist & whitelist
• ⚡ Stealth mode & rate‑limit protection
• 📈 Real‑time statistics
• 🎨 Rich terminal UI

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📦 Quick Install

sudo apt update
sudo apt install -y python3 python3-pip python3-venv git
git clone https://github.com/xPloits3c/DorkEye.git
cd DorkEye
python3 -m venv dorkeye_env
source dorkeye_env/bin/activate
pip install -r requirements.txt

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Test

# Help:
python dorkeye.py -h
# Deactivate environment:
deactivate
# Remove environment:
rm -rf dorkeye_env

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🎯 Usage

🔹 # WIZARD Mode

python dorkeye.py --wizard

🔹 # Basic search

python3 dorkeye.py -d "inurl:admin" -o results.txt

🔹 # Dork Generator + Detection

python dorkeye.py --dg=sqli --mode=aggressive --sqli --stealth -o report.json

🔹 # SQLi + stealth

python3 dorkeye.py -d "site:example.com .php?id=" --sqli --stealth -o scan.html

🔹 # Fast scan

python3 dorkeye.py -d dorks.txt --no-analyze -c 200 -o fast_results.csv

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📁 Project Structure

DorkEye/
│ ├── dorkeye.py
│ ├── dork_generator.py
│ ├── requirements.txt
│ ├── http_fingerprints.json
│ ├── INSTALL.md
│ ├── README.md
│ ├── __init__
│ ├── dorkeye_config.yaml
│ /Templates/
│    ├── dorks_templates.yaml
│    ├── dorks_templates_research.yaml
│ /.github/
│    ├── CODE_OF_CONDUCT.md
│    ├── CONTRIBUTING.md
│    ├── SECURITY.md
│    ├── pull_request_template.md
│     /ISSUE_TEMPLATE/
│        ├── bug_report.md
│        ├── feature_request.md
│ /Dump/
│    ├── *.csv 
│    ├── *.json
│    ├── *.txt
│    └── *.html

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🧩 Roadmap

• Multi‑threaded search
• Interactive TUI
• Browser extension
• Cloud integrations
• API support
• ML‑based dork optimization

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⚠️

• This tool is for educational, research, and authorized security testing only.
• Unauthorized access is illegal.
• The author is not responsible for misuse.

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📞 Contact

• Author: xPloits3c
• Email: whitehat.report@onionmail.org
• Telegram: https://t.me/DorkEye

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⭐ Support

If you find DorkEye useful, please consider starring the repository 🌟

📜 License

MIT License © 2026 xPloits3c I.C.W.T