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Exploring eCrime Challenges and Recommendations in Luxembourg

Richard Clayton presents research on malware, botnets, phishing, spam, hacking, DDoS, and more, highlighting detection challenges and infrastructure used in cybercrime analysis.

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Exploring eCrime Challenges and Recommendations in Luxembourg

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  1. eCrime Research Richard Clayton Luxembourg11th May 2010

  2. Today’s talk • Who am I? • What I’ve been doing in Luxembourg • Types of criminality • Research challenges • Infrastructure • Recommendations

  3. Malware • “Malicious software” (worm/virus/trojan/drive-by-download) CHALLENGES • Behavioural analysis (how do we know it’s bad) • All samples now unique, so hard to measure any trends • Detection (Google’s scanning already a special case) • New browser designs for security • Hosting providers need detection systems • Can we detect bad sites on the wire ?

  4. Botnets • Swiss-army knife: DDoS, spam, click fraud, fastflux hosting CHALLENGES • Identification/interdiction of rendezvous schemes • Identification of activity (and C&C) • Better counting • Disruption/take-over: but complex ethical issues • Well trodden area – but new systems all the time

  5. Phishing • Theft of credentials by impersonation CHALLENGES • Measurements of lifetimes, blacklist effectiveness &c • Improvements to user interfaces/training • Improvements to authentication (PassPet, PAKE) • Measuring/detecting man-in-the-browser • Measuring/detecting key logging

  6. Spam • Non-permission based mass messaging CHALLENGES • Email spam detection • Image spam • Reliable measurements • Contact forms on websites • Blog spam • Fake blogs (Google groups etc) • Human detection (CAPTCHAs &c)

  7. “Hacking” • Unauthorised access to computing resources CHALLENGES • How can we secure one machine? • How can we secure millions of machines • How can hosting providers secure thousands of machines • How do criminals find vulnerable machines? • How can we provide realistic measurements of activity?

  8. DDoS • Distributed (usually) Denial of Service CHALLENGES • Detection of DDoS (at endpoint, on networks, at IXPs) • Traceback of attacks • Analysis of targets/motivation/capabilities

  9. Others • Click Fraud - data hard to obtain • HYIP - lots of data, trivial problem • Fake escrow - limited data, victims secretive • 419 scams - extensive data on early stages of scams • Lottery scams - hardly studied • Fake banks - associated with 419 scams • Counterfeit goods - hardly studied

  10. Infrastructure • Spam mine • Network telescope (darknet) • Passive DNS • Malware collector • Blog spam collector • Honeypot machines • Underground economy monitoring • Fuzzers

  11. Recommendations • Easy to get on the map • Malware, Botnets • Well-trodden areas, needing new approaches • Spam, Phishing, Hacking • Pattern recognition payoffs • DDoS, Malware/Botnet traffic analysis • Virgin territory • Blog spam • MSc projects • HYIP • Fake Escrow, etc etc

  12. eCrime Research BLOG: http://www.lightbluetouchpaper.org/ PAPERS: http://www.cl.cam.ac.uk/~rnc1/publications.html

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