BishopFox/eyeballer
Convolutional neural network for analyzing pentest screenshots
Performs multi-label classification on pentesting screenshots to identify high-value targets like legacy applications, login portals, and custom 404 pages while filtering noise like parked domains. Built on a Keras/TensorFlow CNN trained on 224x224 resized images with pretrained weights available, it processes batches through an HTML results dashboard alongside CSV output for integration with security workflows.
1,279 stars.
Stars
1,279
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148
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 08, 2026
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