BishopFox/eyeballer
Convolutional neural network for analyzing pentest screenshots
This tool helps penetration testers quickly identify interesting targets during large-scope network penetration tests. You feed it screenshots of web-based hosts, and it classifies them into categories like 'login pages' or 'old-looking sites' that indicate potential vulnerabilities. The output is a human-readable HTML report and a machine-readable CSV file summarizing the findings for security professionals.
1,279 stars.
Use this if you need to rapidly sort through hundreds or thousands of website screenshots to pinpoint pages that are most likely to contain security flaws or require further investigation.
Not ideal if you are dealing with a small number of websites or prefer manual analysis, as the value proposition is in automating the initial triage of large datasets.
Stars
1,279
Forks
148
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
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