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Advanced Google Dorking with Google Dorks Generator, SQLi analysis, WAF detection and extract metadata.

Project description

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" ๐Ÿฆ… DorkEye | OSINT Dorking Tool "
> I don't hack systems, i expose their secrets <

Python License Status Search Version

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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.

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Why DorkEye

  • Bypass CAPTCHA and rateโ€‘limiting
  • 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 wonโ€™t get banned.
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Whatโ€™s New ๐Ÿฅ‡

Feature Details
๐Ÿง™ Wizard Interactive guided session โ€” all options
โš™๏ธ Dork Generator YAML template modes: soft / medium / aggressive
๐ŸŽฏ Direct SQLi Test Test a single URL directly with -u
๐Ÿ“‚ File Re-Processing Re-run SQLi / analysis / crawl on saved result files with -f
๐Ÿ’‰ SQL Injection 4 methods: error-based, UNION, boolean blind, time-based
๐Ÿ’‰ XSS Injection 4 methods: reflected, stored, DOM-based, header-based
๐Ÿค– Agents v3.1 Pipeline 11-step autonomous analysis
๐Ÿ›ก๏ธ HeaderIntelAgent Info leaks, missing security headers, outdated server
๐Ÿงฌ TechFingerprintAgent 35 technologies detected, CVE dorks generated
๐Ÿ“ง EmailHarvesterAgent Collects and categorizes emails: admin / security / info..
๐Ÿ” PiiDetectorAgent Phone, IBAN, fiscal code, credit card, SSN, DOB
๐ŸŒ SubdomainAgent Extracts subdomains and generates queries
๐Ÿ”„ Adaptive Crawl Recursive multi-round dorking
๐Ÿ”‘ HTTP Fingerprinting 22 browser/OS profiles โ€” Chrome,Firefox,Safari,mobile..
๐Ÿ“Š Output Formats HTML interactive report โ€” all saved to Dump/
๐Ÿ—‚๏ธ File Categories 7 auto-detected categories - whitelist / blacklist filtering
๐Ÿ–ฅ๏ธ Full CLI Reference All 31 flags and every possible combination

๐Ÿ“ฆ 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

start0
"Help:"
  python dorkeye.py -h

"Deactivate environment:"
  deactivate

"Remove environment:"
  rm -rf dorkeye_env

Usage

h1

๐Ÿ”น # WIZARD Mode

  python dorkeye.py --wizard

๐Ÿ”น # Basic search

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

๐Ÿ”น # Dork Generator + Detection

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

๐Ÿ”น # SQLi + stealth

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

๐Ÿ”น # Fast scan

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

๐Ÿ”น # Direct SQLi test on a URL

python dorkeye.py -u "https://target.com/page.php?id=1" --sqli --stealth -o result.json

๐Ÿ”น # Re-process a saved result file

  python dorkeye.py -f Dump/results.json --sqli --analyze -o retest.html
examples

๐Ÿ“ Project Structure

DorkEye/
โ”‚ โ”œโ”€โ”€ dorkeye.py               โ† DorkEye Engine
โ”‚ โ”œโ”€โ”€ requirements.txt
โ”‚ โ”œโ”€โ”€ http_fingerprints.json
โ”‚ โ”œโ”€โ”€ README.md
โ”‚ /Tools/
โ”‚    โ”œโ”€โ”€ dork_generator.py     โ† Dork Generator Queries
โ”‚    โ”œโ”€โ”€ dorkeye_agents.py     โ† Agents v3.1 pipeline
โ”‚    โ”œโ”€โ”€ dorkeye_patterns.py   โ† Shared pattern library
โ”‚    โ””โ”€โ”€ dorkeye_analyze.py    โ† Standalone analysis CLI
โ”‚ /Templates/
โ”‚    โ”œโ”€โ”€ dorks_templates.yaml
โ”‚    โ”œโ”€โ”€ sqli.yaml
โ”‚    โ”œโ”€โ”€ osint.yaml
โ”‚    โ”œโ”€โ”€ intel_dorks.yaml
โ”‚    โ”œโ”€โ”€ epstein_files.yaml
โ”‚    โ””โ”€โ”€ example.yaml
โ”‚ /.github/
โ”‚    โ”œโ”€โ”€ CODE_OF_CONDUCT.md
โ”‚    โ”œโ”€โ”€ CONTRIBUTING.md
โ”‚    โ”œโ”€โ”€ SECURITY.md
โ”‚    โ”œโ”€โ”€ pull_request_template.md
โ”‚     /ISSUE_TEMPLATE/
โ”‚        โ”œโ”€โ”€ bug_report.md
โ”‚        โ””โ”€โ”€ feature_request.md
โ”‚     /workflows
โ”‚        โ””โ”€โ”€ claude-dorkeye.yml
โ”‚ /Dump/
โ”‚    โ”œโ”€โ”€ *.csv
โ”‚    โ”œโ”€โ”€ *.json
โ”‚    โ”œโ”€โ”€ *.txt
โ”‚    โ””โ”€โ”€ *.html
โ”‚ /Docs/
โ”‚    โ”œโ”€โ”€ cli.md
โ”‚    โ”œโ”€โ”€ wizard.md
โ”‚    โ”œโ”€โ”€ sqli.md
โ”‚    โ”œโ”€โ”€ agents.md
โ”‚    โ”œโ”€โ”€ crawler.md
โ”‚    โ”œโ”€โ”€ fingerprinting.md
โ”‚    โ”œโ”€โ”€ output_formats.md
โ”‚    โ”œโ”€โ”€ file_categories.md
โ”‚    โ”œโ”€โ”€ dork_generator.md
โ”‚    โ”œโ”€โ”€ INSTALL.md
โ”‚    โ”œโ”€โ”€ REPORT_HTML.md
โ”‚    โ”œโ”€โ”€ USAGE.md
โ”‚    โ””โ”€โ”€ DDGSEE.md

Example HTML Report

report

Example final Report

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Wizard MODE (default payload)

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โš ๏ธ WARNING

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

๐Ÿ“ž Contact


โญ Support

If you find DorkEye useful, please consider starring the repository ๐ŸŒŸ

๐Ÿ“œ License

MIT License ยฉ 2026 xPloits3c I.C.W.T

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