Slashdot Mirror


Stopping Spam Before It Hits the Mail Server

Al writes "A team of researchers at the Georgia Institute for Technology say they have developed a way to catch spam before it even arrives on the mail server. Instead of bothering to analyze the contents of a spam message, their software, called SNARE (Spatio-temporal Network-level Automatic Reputation Engine), examines key aspects of individual packets of data to determine whether it might be spam. The team, led by assistant professor Nick Feamster, analyzed 2.5 million emails collected by McAfee in order to determine the key packet characteristics of spam. These include the geodesic proximity of end mail servers and the number of ports open on the sending machine. The approach catches spam 70 percent of the time, with a 0.3 false positive rate. Of course, revealing these characteristics could also allow spammers to fake their packets to avoid filtering."

3 of 157 comments (clear)

  1. Re:RFC 3514 by darpo · · Score: 4, Informative

    For those who don't feel inclined to Google for it:

    "The evil bit is a fictional IPv4 packet header field proposed in RFC 3514, a humorous April Fools' Day RFC from 2003 authored by Steve Bellovin. The RFC recommended that the last remaining unused bit in the IPv4 packet header be used to indicate whether a packet had been sent with malicious intent, thus making computer security engineering an easy problem."

  2. "IP addresses, he notes, are easy to fake." by amorsen · · Score: 2, Informative

    IP addresses, he notes, are easy to fake.

    Sure, you can fake your IP address so you get past this filtering, because it just looks at the first packet. It won't help you though, because you can't complete a TCP 3-way handshake from a fake address, and without doing that you can't actually send spam.

    --
    Finally! A year of moderation! Ready for 2019?
  3. Re:.3% false positive is pretty high by Ioldanach · · Score: 2, Informative

    From the article, "The end result was a system capable of detecting spam 70 percent of the time, with a 0.3 percent false positive rate." The summary dropped an instance of the word "percent". I wasn't sure how to read it either so I specifically looked for the source of the 0.3 in the original.