Typo Trouble: How LLMs Can Outsmart TYPOSQUATTING Attacks

December 5, 2024

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In this episode, we chat with the brilliant Mike Hart, a data scientist with a mission: to outsmart the sneaky world of typosquatting attacks. Just in time for the holiday shopping frenzy, we explore how his open-source project leverages LLMs to safeguard users from clicking on malicious look-alike links.

With holiday online shopping being a prime target time for this attack vector, the risks of not double-checking URLs are bigger than ever. Organizations need to stay vigilant especially those operating hybrid environments.

Mike will bless us with how his LLM (available to deploy and use from Hugging Face) automates detection, saves precious time, and fights back against a landscape where vendors often prioritize profit over protection.

Have you started your holiday shopping yet? Did you click on the right links? Tune in to learn how to stay safe—and why this cutting-edge approach might just be the gift every security team needs. 

Episode Host Headshot
Alex Hurtado
Detection Dispatch Host, Anvilogic
Episode Host Headshot
Mike Hart
Principal Data Scientist, Anvilogic
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