Smashing Security podcast #019: The Love Bug virus

Three security industry veterans, chatting about computer security and online privacy.

Smashing Security podcast

On May 4th 2000, the Love Bug virus (also known as ILOVEYOU or LoveLetter) rapidly spread around the world, clogging up email systems.

Computer security veterans Graham Cluley and Carole Theriault are joined this week by special guest John Hawes for a trip down memory lane.

Show notes:

Smashing Security #019: 'The Love Bug virus'

Listen on Apple Podcasts | Spotify | Pocket Casts | Other... | RSS
More episodes...

Sponsor: Recorded Future

This episode of Smashing Security is made possible by the generous support of Recorded Future – the real-time threat intelligence company whose patented machine learning technology continuously analyzes technical, open, and dark web sources to give organizations unmatched insight into emerging threats.

Sign up for free daily threat intelligence updates at recordedfuture.com/intel.

Thanks to Recorded Future for their support.

Hope you enjoy the show, and tell us what you think. You can follow the Smashing Security team at @SmashinSecurity on Twitter.

Remember: Subscribe on iTunes to catch all of the episodes as they go live. Thanks for listening!


Graham Cluley is an award-winning keynote speaker who has given presentations around the world about cybersecurity, hackers, and online privacy. A veteran of the computer security industry since the early 1990s, he wrote the first ever version of Dr Solomon's Anti-Virus Toolkit for Windows, makes regular media appearances, and is the co-host of the popular "Smashing Security" podcast. Follow him on Twitter, Mastodon, Threads, Bluesky, or drop him an email.

One comment on “Smashing Security podcast #019: The Love Bug virus”

  1. Andrew Rossetti

    How timely, especially given yesterday's Google Docs themed worm!

What do you think? Leave a comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.