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Eyeballer

AI-powered open-source tool that automates the visual assessment of large-scale web perimeter screenshots to identify potentially vulnerable targets.

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Product Overview

What is Eyeballer?

Eyeballer preview

Eyeballer is an innovative AI-driven tool designed to assist penetration testers in efficiently analyzing vast numbers of website screenshots to pinpoint pages likely to contain security vulnerabilities. By leveraging a convolutional neural network, Eyeballer classifies rendered web pages into categories such as login pages, old-looking sites, custom 404 pages, and homepages. This automation significantly reduces manual triage efforts during large-scale external network assessments, enabling security professionals to focus on high-value targets. Eyeballer complements traditional scanning tools by providing a visual layer of analysis that is difficult to achieve with signature-based methods alone. The tool is open-source and supports GPU acceleration for training and inference, making it adaptable to diverse testing environments.


Key Features

  • AI-Powered Visual Classification

    Uses convolutional neural networks to analyze screenshots and label web pages based on visual characteristics relevant to penetration testing.

  • Large-Scale Perimeter Assessment

    Designed to handle thousands of screenshots quickly, enabling efficient triage of extensive external web assets.

  • Multiple Target Labels

    Identifies key categories such as login pages, old-looking sites, custom 404 pages, and homepages to prioritize potential vulnerabilities.

  • Open Source and Extensible

    Available on GitHub, allowing customization, retraining, and integration into existing security workflows.

  • Human-Readable and Machine-Readable Outputs

    Generates both HTML reports for easy browsing and CSV files for automated processing.

  • Supports GPU Acceleration

    Optimized for GPU use during model training and prediction to improve performance on large datasets.


Use Cases

  • Penetration Testing : Automates the identification of high-value web targets within large external perimeters to streamline manual review.
  • Security Assessment Triage : Helps security teams prioritize which web pages to investigate further based on visual indicators of vulnerability.
  • Bug Bounty Reconnaissance : Assists bug bounty hunters in quickly filtering through numerous web assets to find promising attack surfaces.
  • Continuous Security Monitoring : Integrates into ongoing penetration testing services to maintain up-to-date target prioritization as web assets evolve.

FAQs

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