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DTSTART:20231023T000000
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DTSTART:20231029T030000
RDATE:20241027T030000
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SUMMARY:Decoding Galah: an LLM powered web honeypot - Adel Karimi
DTSTART;TZID=Europe/Luxembourg:20241022T174500
DTEND;TZID=Europe/Luxembourg:20241022T181500
DTSTAMP:20261011T050735Z
UID:pretalx-hack-lu-2024-LGTEXR@pretalx.com
DESCRIPTION:Honeypots are invaluable tools for monitoring internet-wide sc
 ans and understanding attackers' techniques. Traditional low-interaction w
 eb honeypots use manual methods to emulate various applications or vulnera
 bilities. Introducing Galah\, an LLM-powered web honeypot that mimics dive
 rse applications with a single prompt. This honeypot dynamically crafts re
 levant HTTP responses\, including headers and body content\, to various HT
 TP requests\, effectively simulating multiple web applications. In this ta
 lk\, I will share lessons learned from building and deploying Galah and ad
 dress two key questions: How do different large language models perform in
  generating HTTP messages? Does delivering authentic-looking HTTP response
 s increase attackers’ engagement with the honeypot?
LOCATION:Europe - Main Room
URL:https://pretalx.com/hack-lu-2024/talk/LGTEXR/
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