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Eyeballer is a cutting-edge tool developed by Bishop Fox that leverages AI to analyze screenshots and categorize them based on their appearance. This tool is particularly useful for penetration testers, bug bounty hunters, and security researchers who need to quickly identify different types of web pages during reconnaissance.
Key Features of Eyeballer:
- Old-looking pages 👴
- Login pages 🔑
- 404 responses ❌
- Web applications 🌐
- Parked domains 🅿️
GitHub Repository: https://github.com/BishopFox/eyeballer
You Should Know: How to Use Eyeballer for Efficient Reconnaissance
Installation Steps
1. Clone the repository:
git clone https://github.com/BishopFox/eyeballer.git cd eyeballer
2. Install dependencies (Python 3.6+ required):
pip install -r requirements.txt
3. Download the pre-trained AI model:
wget https://github.com/BishopFox/eyeballer/releases/download/v1.0.0/eyeballer.h5
Basic Usage
To analyze a directory of screenshots:
python eyeballer.py --input /path/to/screenshots --output /path/to/results
### **Advanced Commands**
- Filter only login pages:
python eyeballer.py --input screenshots --output results --filter login
- Use a custom-trained model:
python eyeballer.py --model custom_model.h5 --input screenshots --output results
### **Automating with Subfinder & Httpx**
Combine Eyeballer with ProjectDiscovery tools for full recon automation:
subfinder -d example.com -o subdomains.txt httpx -l subdomains.txt -silent -screenshot -o screenshots python eyeballer.py --input screenshots --output classified_results
## **What Undercode Say**
Eyeballer is a game-changer for security researchers who deal with large-scale reconnaissance. By automating screenshot analysis, it saves hours of manual review. However, it’s best used alongside other tools like:
– Nmap (nmap -sV -A target.com)
– Gobuster (gobuster dir -u https://target.com -w wordlist.txt)
– Waybackurls (waybackurls target.com | tee urls.txt)
– FFUF (ffuf -u https://target.com/FUZZ -w wordlist.txt)
For Windows security analysts, PowerShell can help in extracting screenshots:
Invoke-WebRequest -Uri "http://target.com" -OutFile "screenshot.png"
Eyeballer’s AI model can be fine-tuned for custom use cases, such as detecting exposed dashboards or backup files, as suggested by security experts.
## **Expected Output:**
A structured report categorizing screenshots into:
– `login/`
– `webapps/`
– `old_pages/`
– `parked_domains/`
– `404_pages/`
Enhance your security workflow with AI-driven analysis today! 🚀
GitHub: https://github.com/BishopFox/eyeballer
References:
Reported By: 0xacb This – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
