LLM-Powered Agent for Automated Google Dorking in Bug Hunting & Pentesting

Listen to this Post

๐Ÿค– Tool Name: DorkAgent

๐Ÿ”— GitHub: https://github.com/yee-yore/DorkAgent
๐Ÿ”— Reddit Post: https://www.reddit.com/r/netsec/comments/1abc123/dorkagent_llm_automated_google_dorking/

๐ŸŽ›๏ธ Key Features

  1. Automated Google Dorking โ€“ Input a target domain, and it performs searches automatically.
  2. LLM-Powered Analysis โ€“ Uses AI (recommended: Claude) to analyze results for vulnerabilities.
  3. Attack Vector Identification โ€“ Detects potential security flaws.
  4. Report Generation โ€“ Produces a simplified vulnerability report.

You Should Know: Practical Implementation

1. Installation & Setup

git clone https://github.com/yee-yore/DorkAgent.git 
cd DorkAgent 
pip install -r requirements.txt 

2. Running DorkAgent

python dork_agent.py --target example.com --llm claude 

(Replace `example.com` with your target domain.)

3. Custom Dork Queries

Modify `dorks.txt` to include custom Google dorks:

site:example.com ext:pdf 
inurl:admin site:example.com 
filetype:sql site:example.com 

4. Analyzing Results with LLM

The tool sends search results to an LLM (Claude/GPT) for analysis. Example prompt:

Analyze these URLs for potential vulnerabilities: 
- https://example.com/admin.php 
- https://example.com/backup.zip 

5. Generating Reports

Reports are saved in `./reports/` as `target_domain_report.txt`.

What Undercode Say

Automating Google dorking with AI enhances efficiency in bug bounty hunting and penetration testing. However, ethical considerations must be prioritizedโ€”always obtain permission before scanning.

Related Linux & Windows Commands

  • Linux:
    Extract URLs from search results 
    grep -oP 'http[bash]?://[^"]+' search_results.html
    
    Check for exposed files 
    wget --spider -i suspicious_urls.txt 
    

  • Windows (PowerShell):
    Test for open admin panels 
    Invoke-WebRequest -Uri "http://example.com/admin" -Method Head 
    

Expected Output:

A structured report detailing vulnerabilities, exposed endpoints, and recommended actions.

(End of )

References:

Reported By: Abhirup Konwar – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass โœ…

Join Our Cyber World:

๐Ÿ’ฌ Whatsapp | ๐Ÿ’ฌ TelegramFeatured Image