Skip to Content

Very Spammy!

A startup’s software warns of spyware and spam.
March 1, 2006

You’ve done your Internet search. Tantalizing links clamor for your attention. But it’s hard to know which might contain spyware or throw you into the clutches of a spammer (see “Malware Menace”).

A Boston-based startup, SiteAdvisor, is beta-testing a tool to sort the good from the bad. With SiteAdvisor’s software, one of three icons will appear next to many links – a red X signifying “stay away,” a yellow exclamation point suggesting reason to worry, or a green check mark for the all-clear. If you visit a site, warning balloons may pop up saying things like “After entering our e-mail address on this site, we received 197 e-mails per week. They were very spammy.”

The software was developed by two MIT-trained computer scientists, Doug Wyatt and Tom Pinckney, and consists of Web crawlers that roam the Internet, downloading proffered software and filling out sign-on forms to see what happens. The resulting knowledge is combined with information from the open-source security community and website owners and users.

“In some sense, you can think of this as a search engine – except instead of trying to find content and relevance, we are trying to find out safety information you can use,” Wyatt says. SiteAdvisor launches in March as a free download. Upgraded, fee-based versions are expected later this year.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.