J4FSec/In0ri
Website defacement attack detection with deep learning
This tool helps cybersecurity analysts and website administrators automatically detect when a website's appearance has been maliciously altered, known as defacement. It works by periodically taking screenshots of monitored websites and using deep learning to identify unauthorized changes. If a defacement is found, it sends out immediate email or Telegram notifications.
No commits in the last 6 months.
Use this if you need an automated system to continuously monitor your websites for visual defacement attacks and want to be alerted instantly when one occurs.
Not ideal if you need to detect subtle code changes that don't visibly alter the website's appearance or if you're looking for a comprehensive vulnerability scanner.
Stars
62
Forks
15
Language
CSS
License
AGPL-3.0
Category
Last pushed
Jan 15, 2025
Commits (30d)
0
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