Advanced Google Dorking with Google Dorks Generator, SQLi analysis, WAF detection and extract metadata.
Project description
" ๐ฆ
DorkEye | OSINT Dorking Tool "
> I don't hack systems, i expose their secrets <
What is DorkEye
DorkEye is an advanced automated dorking and OSINT recon tool that leverages DuckDuckGo to discover exposed web resources through intelligent search queries.
-
It combines a powerful dork generator, a full SQL injection detection engine, a 10-step autonomous analysis pipeline, and an adaptive recursive crawler โ all without requiring any external AI or cloud services.
-
It can identify indexed directories, sensitive files, admin panels, databases, backups, configuration files, credentials, PII data, subdomains, and technology fingerprints โ efficiently and with stealth controls.
Why DorkEye
- Bypass CAPTCHA and rateโlimiting
- Advanced .html report interactive
- Maintain anonymity and avoid IP blocking
- Clean and unfiltered search results
- Advanced analysis and automated SQLi testing
- Continue Dorking for hours, DorkEye wonโt get banned.
Whatโs New ๐ฅ
๐ฆ PyPI Installation (New!)
# Install directly via pip
pip install dorkeye
# Update to latest version
pip install --upgrade dorkeye
# Run after installation
dorkeye --help
Quick Install
"Update:"
sudo apt update
sudo apt install -y python3 python3-pip python3-venv git
"Git Clone:"
git clone https://github.com/xPloits3c/DorkEye.git
cd DorkEye
"Create environment:"
python -m venv dorkeye_env
"Activate environment:"
source dorkeye_env/bin/activate
"Install requirements:"
pip install -r requirements.txt
"WIZARD MODE:"
python dorkeye.py --wizard
Test
"Help:"
python dorkeye.py -h
"Deactivate environment:"
deactivate
"Remove environment:"
rm -rf dorkeye_env
Usage
๐น # WIZARD Mode
python dorkeye.py --wizard
๐น # Basic search
python dorkeye.py -d "inurl:admin" -o results.txt
๐น # Dork Generator + Detection
python dorkeye.py --dg=sqli --mode=aggressive --sqli --stealth -o report.json
๐น # SQLi + stealth
python dorkeye.py -d "site:example.com .php?id=" --sqli --stealth -o scan.html
๐น # Fast scan
python dorkeye.py -d dorks.txt --no-analyze -c 200 -o fast_results.csv
๐น # Direct SQLi test on a URL
python dorkeye.py -u "https://target.com/page.php?id=1" --sqli --stealth -o result.json
๐น # Re-process a saved result file
python dorkeye.py -f Dump/results.json --sqli --analyze -o retest.html
๐ Project Structure
DorkEye/
โ โโโ dorkeye.py โ DorkEye Engine
โ โโโ requirements.txt
โ โโโ http_fingerprints.json
โ โโโ README.md
โ /Tools/
โ โโโ dork_generator.py โ Dork Generator Queries
โ โโโ dorkeye_agents.py โ Agents v3.1 pipeline
โ โโโ dorkeye_patterns.py โ Shared pattern library
โ โโโ dorkeye_analyze.py โ Standalone analysis CLI
โ /Templates/
โ โโโ dorks_templates.yaml
โ โโโ sqli.yaml
โ โโโ osint.yaml
โ โโโ intel_dorks.yaml
โ โโโ epstein_files.yaml
โ โโโ example.yaml
โ /.github/
โ โโโ CODE_OF_CONDUCT.md
โ โโโ CONTRIBUTING.md
โ โโโ SECURITY.md
โ โโโ pull_request_template.md
โ /ISSUE_TEMPLATE/
โ โโโ bug_report.md
โ โโโ feature_request.md
โ /workflows
โ โโโ claude-dorkeye.yml
โ /Dump/
โ โโโ *.csv
โ โโโ *.json
โ โโโ *.txt
โ โโโ *.html
โ /Docs/
โ โโโ cli.md
โ โโโ wizard.md
โ โโโ sqli.md
โ โโโ agents.md
โ โโโ crawler.md
โ โโโ fingerprinting.md
โ โโโ output_formats.md
โ โโโ file_categories.md
โ โโโ dork_generator.md
โ โโโ INSTALL.md
โ โโโ REPORT_HTML.md
โ โโโ USAGE.md
โ โโโ DDGSEE.md
Example HTML Report
Example final Report
Wizard MODE (default payload)
โ ๏ธ 
- This tool is for educational, research, and authorized security testing only.
- Unauthorized access is illegal.
- The author is not responsible for misuse.
๐ Contact
- Author: xPloits3c
- Email: whitehat.report@onionmail.org
- Telegram: https://t.me/DorkEye
โญ Support
If you find DorkEye useful, please consider starring the repository ๐
๐ License
MIT License ยฉ 2026 xPloits3c I.C.W.T
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