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Spam Email

Spam Email. Roger Thornburn. What is Spam. Needs to meet 2 requirements Unsolicited Bulk Name comes from a Monty Python skit Monty Python's spam video Mostly commercial 25% - Products 20% - Financial 19% - Adult 9% - Scams 7% - Health 7% - Internet Not Spam: Jokes from friends

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Spam Email

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  1. Spam Email Roger Thornburn

  2. What is Spam • Needs to meet 2 requirements • Unsolicited • Bulk • Name comes from a Monty Python skit • Monty Python's spam video • Mostly commercial 25% - Products 20% - Financial 19% - Adult 9% - Scams 7% - Health 7% - Internet • Not Spam: • Jokes from friends • Newsletters you signed up for

  3. A Few Statistics • Amount of Spam • 90 Billion spam emails a DAY (Feb 2007) • Average of 50 spam emails a day – per email address • 94% of all email is spam • Sources of Spam • US – 23% • China – 20% • Russia -10% • South Korea – 6% • Surprise! • 28% reply to spam email • 8% purchase from spam email

  4. Current Situation • IP addresses last 4 hours • June 2006 – 35M new domains, 32M not paid • Hi jacked mail servers – listed as spammers • Creates problem for legitimate users • Use of “Zombie” PC’s and the Botnet • Maybe 1 in 4 PC’s infected. • Image spam • Hard for a computer to read • Hi growth from 0 to 25% of spam • Getting your email address Dictionary attack Spam bots (websites) Infected computers Vendors/subscriptions

  5. Spam Safety tips • Encrypt your email address (not in a dictionary) • Use a fake email address where possible • Use bcc to send an email to many people • Don’t open spam and set Outlook Express to “Block images…..” Avoids confirming your email • Don’t reply to spam – again it confirms you’re real! • Don’t post your email address on a website. • Uncheck all those “subscribe” boxes • Unsubscribe from reputable companies only • Use a spam filter

  6. Spam Filtering Techniques • Rules based • Matches specific words in the To, From, Subject or Body of the email • Very specific – can only make an exact match • Bayes filter/Fuzzy logic • Uses a mathematical set of probabilities, gathered from being told what’s “spam” and what’s “ham” • Needs to “learn” and kept up to date • Black list • Blocks specific “From” addresses. • Not very effective today – new domain every 4 hours! • Good for blocking family/friends or newsletters

  7. Spam Filtering Techniques (cont.) • On-line Database (DNSBL) • Can work well - if accurate. Can easily stop legitimate emails as well. • Signature analysis for specific emails • White list • List of email addresses you will accept email from • Challenge/response systems • Needs to be kept up-to-date • Most effective method Important!: No spam filter is perfect. The worst thing is putting legitimate emails in your Spam/Junk/Bulk mail folder. It’s essential to check this folder so you can receive your good email, as well as train the filter.

  8. Reducing Spam in Real Life! • Different if using Web mail or POP mail • Web mail is when you use your internet browser (Internet Explorer or Firefox, etc) to read and send your email. • POP mail is when you use an email client (a program such as Outlook/Express, Thunderbird, Endura, etc.) to read and send your email. • With POP mail, the email messages are downloaded to your computer – can be read and new ones composed, without beeing connected to the internet. To read or compose messages in Web mail, you must be connected to the internet • Many email accounts can be accessed by either/both

  9. Web Mail • All your email stays on the Web mail server • You have little control • Large providers such as Yahoo, Google, Hotmail, etc. provide excellent spam filtering – using a combination of all the above techniques • Any legitimate emails in the spam/junk box, must be identified – now added to your white list • Yahoo has AddressGuard • Create a separate email address for each person or class of persons • Many of the smaller ISP’s/email providers, aren’t as sophisticated.

  10. POP 3 • Spam filter sits between the mail server and your email client • Many ISP’s or email servers have own spam filter • Yahoo (SBC, AT&T, Pacbell, etc.) use same as Web mail • Can be harder to check spam folder – may need to configure • Huge selection of programs – freeware to $$’shttp://spamlinks.net/filter-client-win.htm • Use different techniques – either singly or in combination. • Some are tightly integrated to the email client

  11. POP3/Outlook Express Examples • Outlook Express –Rules • Text matching – limited • Good for White list – can import address book • K-9 Freeware • Uses Bayesian technology – so must train • Plus has White list and Black list • Regex filters for advanced users • Easy interface – but not elegant • Computer Associates ($30) • White list • Integrated to Outlook/Express – easy to use

  12. More Examples • MailWasherPro ($30) • Freeware version available • Combination of Bayes, White list, Black list, DNSBL, User filters and Signature • Reviews email on the server • Spam is removed before download • Save time with dial up • Easy to use

  13. Phishing • Scams to trick users to reveal personal information • Normally an official looking email • Directed to a fraudulent website • 2004 2006 Losses from phishing attacks: $137 million $2.8 billion # US adults who received at least one phishing e-mail: 57 million 109 million Number of victims: 53 thousand 2.25 million Per-victim loss: $257 $1,244 Money recovered by consumers: 80% 54% • Don’t click a link in an email • Call your bank or credit card company if suspicious • Check the website is secure (https://xxxxx)

  14. Useful Links • http://en.wikipedia.org/wiki/Spam_e-mail Wikipedia Reference • http://spam.abuse.net/userhelp/ Links to resources and anti-spam filters • http://spamlinks.net/ More links to many anti spam resources • http://spamlinks.net/filter-client-win.htm (More spam filters) • http://spam-filter-review.toptenreviews.com/ Review of some spam filters • http://keir.net/k9.html Freeware Bayes filter (plus White and Black list) • http://shop.ca.com/STContent/landingpages/Antispam/ASPM001/index.aspx?sc_lang=en-US Computer Associates anti spam program (Or Google ca spam). Paid, easy to use White list – integrates to Outlook Express. • http://www.mailwasher.net/ Mail Washer free and paid anti-spam versions. Uses multiple methods for detection • http://www.spambutcher.com/ Spam Butcher – fuzzy logic anti-spam

  15. Summary • Web mail • Dependant on the ISP/Web mail provider • Larger providers often provide configurable options • Yahoo AddressGuard is a good solution • MUST go into JUNK/BULK/SPAM folder to mark good emails – regularly • POP3 mail • Most effective method is White list (or safe senders list) – but needed to be kept up-to-date. • Using built in Rules of Outlook Express works fine • Purchased product – often more convenient. Above all – Protect Your Email Address!!

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