1. Phishing Problem Kristián Kučerák Milan Just

2. Abstract In this age of broadband, wireless, and network interconnectivity, we enjoy the unprecedented power of information exchange and commerce at our fingertips. Networks and systems are continuously evolving to become more robust, thereby maximizing our convenience and productivity – 24 hours a day, seven days a week. Over the last few years, online banking, including online bill paying, has become very popular as more financial institutions begin to offer free online services.With the increase in online fraud and identity theft, financial crimes have changed from direct attacks to indirect attacks—in other words, rather than robbing a bank at gunpoint, the criminals target the bank's customers. This type of indirect attack significantly impacts the financial institutions themselves because their inability to adequately protect their customer assets tarnishes their reputations and overall trust.

3. Spam Classification Spam organization 1. Bulk-mailing tool identification. Identification of unique mailing attributes found in the e-mail header. 2. Feature subsets Items such as hash busters, (format and location), content attributes (spelling errors, grammar), and unique feature subsets from the bulk-mailing tool. 3. Sending methods Classification techniques 1. Unsolicited commercial e-mail (UCE) 2. Nonresponsive commercial e-mail (NCE) 3. List makers 4. Scams (Phishing)

4. Cyber Crime Evolution

5. What is Phishing ? Gather private information (credit card information, bank account passwords First Phishing reported against financial institution in July 2003 It introduced a new class of attack vektor – overlooked human element

6. Phishing Statistics Phishers are refining their e-mail techniques Phishers of 2005 build their own PHP bulk- mailing Phishers are becoming more technically savvy Phishers are taking advantage of Cross-Site Scripting (XSS) vulnerabilities Phishers are refining their key-logging malware

7. Go Phish! Most popular phishing methods : Impersonating Attack Forwarding Attack Pop-up Attack

8. Impersonating Attack

9. Forwarding Attack

10. Popup Attack

11. Harvesting e-mail Addresses 86 percent of the e-mail addresses posted to Web pages receive spam (@ sign) the majority of spammers and phishers use bots or crawlers (www.bestextractor.com)www.bestextractor.com Extract Link, Whois Extractor, List Monitor, Email Verifier

12. Sending Spam/Phish Two competing popular bulk mailers: Send-Safe ( “real anonymous mailer”, was authored by Ruslan Ibragimov – author of Sobig Virus ) Dark-Mailer ( easy of use, forging headers, sending roughly 500,000 e- mails per hour, supports HTTP and SOCKS proxies )

13. Conclusion Significant and growing problem A lot of antiphishing vendors – be careful “secure by marketing” – campaing just to get sales Good idea product evaluated by a professional security team

14. Thank you for your attention Any questions ???