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DNS Anomaly Detection superDAD Nick Barendregt Hidde van der Heide - PowerPoint PPT Presentation

Apr 03, 2024 •256 likes •525 views

DNS Anomaly Detection superDAD Nick Barendregt Hidde van der Heide Agenda Introduction Methods Results Conclusion Questions and Discussion Introduction | Methods | Results | Conclusion | Questions and Discussion 3 / 25 Introduction

  1. DNS Anomaly Detection superDAD Nick Barendregt Hidde van der Heide

  3. Agenda Introduction Methods Results Conclusion Questions and Discussion Introduction | Methods | Results | Conclusion | Questions and Discussion 3 / 25

  4. Introduction "Examine the feasibility of detecting malware infected systems using DNS log data and develop a scheme for detecting these anomalies in DNS traffic. Develop a simple proof of concept capable of processing text based output from our DNS logger." Introduction | Methods | Results | Conclusion | Questions and Discussion 4 / 25

  5. Methods Non-DNS packets on port 53 MX requests Keyword detection Blacklists Covert channel (DNS tunnel) detection Character frequency analysis Fast-flux detection Timing analysis Scoring mechanism Introduction | Methods | Results | Conclusion | Questions and Discussion 5 / 25

  6. DNS Tunnel Detection Characteristics Non DNS data Large number of packets Large packets Long domain names Large strings in NULL or TXT records Random data when compressed or encrypted Introduction | Methods | Results | Conclusion | Questions and Discussion 6 / 25

  7. DNS Tunnel Detection Configure Iodine (tunnel DNS software) Downstream modes: Raw UDP NULL (experimental) TXT CNAME A etc. Encoded Base32/64/128 Introduction | Methods | Results | Conclusion | Questions and Discussion 7 / 25

  8. Character Frequency Analysis Introduction | Methods | Results | Conclusion | Questions and Discussion 8 / 25

  9. Character Frequency Analysis Introduction | Methods | Results | Conclusion | Questions and Discussion 9 / 25

  10. Fast-Flux Detection Introduction | Methods | Results | Conclusion | Questions and Discussion 10 / 25

  11. Fast-Flux Detection - Example $ dig naughtydateingsite.net ;; ANSWER SECTION: naughtydateingsite.net. 300 IN A 77.127.166.235 naughtydateingsite.net. 300 IN A 82.228.65.61 naughtydateingsite.net. 300 IN A 84.109.81.176 naughtydateingsite.net. 300 IN A 92.253.40.134 naughtydateingsite.net. 300 IN A 94.54.254.3 naughtydateingsite.net. 300 IN A 94.228.118.59 naughtydateingsite.net. 300 IN A 114.33.131.22 naughtydateingsite.net. 300 IN A 118.101.225.28 naughtydateingsite.net. 300 IN A 201.167.15.123 naughtydateingsite.net. 300 IN A 203.99.233.142 ;; AUTHORITY SECTION: naughtydateingsite.net. 172318 IN NS ns1.7418391.com. naughtydateingsite.net. 172318 IN NS ns2.7418391.com. naughtydateingsite.net. 172318 IN NS ns3.7418391.com. naughtydateingsite.net. 172318 IN NS ns4.7418391.com. naughtydateingsite.net. 172318 IN NS ns5.7418391.com. naughtydateingsite.net. 172318 IN NS ns6.7418391.com. ; ADDITIONAL SECTION: ns1.7418391.com. 85917 IN A 173.212.75.160 ns2.7418391.com. 85917 IN A 79.119.188.9 ns3.7418391.com. 85917 IN A 88.87.251.45 ns4.7418391.com. 85917 IN A 82.228.65.61 ns5.7418391.com. 85917 IN A 79.117.122.25 ns6.7418391.com. 85917 IN A 186.114.80.139 Introduction | Methods | Results | Conclusion | Questions and Discussion 11 / 25

  12. DNS Timing Analysis Group activity Regular queries (polling) Outside office hours Introduction | Methods | Results | Conclusion | Questions and Discussion 12 / 25

  13. Scoring Mechanism Introduction | Methods | Results | Conclusion | Questions and Discussion 13 / 25

  14. Results DNS Tunnel Detection Single Flux Detection Double Flux Detection Introduction | Methods | Results | Conclusion | Questions and Discussion 14 / 25

  15. DNS Tunnel Detection Configured DNS tunnel software Captured stream of scp 10Mb random data Loaded in memory with Python Scapy Created frequency distribution graphs with NLTK toolkit Compare: Other tunnel software Frequency distribution for top sites Frequency distribution for language Introduction | Methods | Results | Conclusion | Questions and Discussion 15 / 25

  16. DNS Tunnel Detection - Base 32 Introduction | Methods | Results | Conclusion | Questions and Discussion 16 / 25

  17. DNS Tunnel Detection - Base 128 Introduction | Methods | Results | Conclusion | Questions and Discussion 17 / 25

  18. DNS Tunnel Detection Introduction | Methods | Results | Conclusion | Questions and Discussion 18 / 25

  19. Fast-flux Detection Single Flux Detection Simple bash system nslookup Threaded python nslookup Double Flux Detection DNS library SOA Record A Record NS Record ANY Record Database Lookup previous entries Takes time with more data Introduction | Methods | Results | Conclusion | Questions and Discussion 19 / 25

  20. Fast Flux Detection Introduction | Methods | Results | Conclusion | Questions and Discussion 20 / 25

  21. Fast Flux Detection Introduction | Methods | Results | Conclusion | Questions and Discussion 21 / 25

  22. Conclusion Promising methods need to be done off-line The amount of data needed for proper time analysis becomes problematic Best probe position would be at the network border since TTL is unreliable Good results for methods, better when combined Yes! Introduction | Methods | Results | Conclusion | Questions and Discussion 22 / 25

  23. Future Work Create full working tool Research best scoring mechanism Timing analysis Live data Introduction | Methods | Results | Conclusion | Questions and Discussion 23 / 25

  24. Fun Facts Single: 116 x 1 x 10.728 = 1.244.448 Double: 174 x 3 x 10.728 = 5.600.016 Good : 22 x 3 x 10.000 = 660.000 + Total domain queries: 7.504.464 Extra 48 hour run: ~2.400.000 Tracked domains: 10.728 Unique IP addresses: 32.466 Total amount of time spend: ~5.000 minutes Lines of code: ~1500 Cups of coffee: 2 x 20 x ~4 = ~160 Research papers read: ~30 Introduction | Methods | Results | Conclusion | Questions and Discussion 24 / 25

  25. Questions and Discussion ? Introduction | Methods | Results | Conclusion | Questions and Discussio n 25 / 25

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