dorkeye 4.9.1

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

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

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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 — 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 — efficiently and with stealth controls.

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Why DorkEye

• Bypass CAPTCHA and rate‑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 won’t get banned.

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What’s New 🥇

Feature	Details
🧙 Wizard	Interactive guided session — all options, no CLI knowledge needed
⚙️ Dork Generator	YAML template engine with soft / medium / aggressive modes
🎯 Direct SQLi Test	Test a single URL directly with -u
📂 File Re-Processing	Re-run SQLi / analysis / crawl on saved result files with -f
🔒 SQL Injection Engine	4 methods: error-based, UNION, boolean blind, time-based — verbose output
🤖 Agents v3.1 Pipeline	11-step autonomous analysis — no external AI required
🛡️ HeaderIntelAgent	Detects info leaks, missing security headers, outdated server versions
🧬 TechFingerprintAgent	35 technologies detected with version extraction, CVE dorks generated
📧 EmailHarvesterAgent	Collects and categorizes emails: admin / security / info / noreply / personal
🔐 PiiDetectorAgent	Phone, IBAN, fiscal code, credit card (Luhn-validated), SSN, DOB
🌐 SubdomainHarvesterAgent	Extracts subdomains and generates site:sub.domain follow-up dorks
🔄 Adaptive Crawl	Recursive multi-round dorking that refines itself automatically
🔑 HTTP Fingerprinting	22 browser/OS profiles — Chrome, Firefox, Safari, Edge, mobile
📊 Output Formats	HTML interactive report, JSON, CSV, TXT — all saved to Dump/
🗂️ File Categories	7 auto-detected categories with whitelist / blacklist filtering
🖥️ Full CLI Reference	All 26 flags and every possible combination

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📦 PyPI Installation (New!)

# Install directly via pip
pip install dorkeye

# Update to latest version
pip install --upgrade dorkeye

# Run after installation
dorkeye --help

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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

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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

  python 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

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

🔹 # Fast scan

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

🔹 # Direct SQLi test on a URL

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

🔹 # Re-process a saved result file

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

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📁 Project Structure

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

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Example HTML Report

Example final Report

Wizard MODE (default payload)

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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: [e-mail]
• 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