Characterising attacks targeting low-cost routers: a MikroTik case study (Extended)

Joao M. Ceron, Christian Scholten, Aiko Pras, Elmer Lastdrager, Jair Santanna

Research output: Working paperProfessional

141 Downloads (Pure)

Abstract

Attacks targeting network infrastructure devices pose a threat to the security of the internet. An attack targeting such devices can affect an entire autonomous system. In recent years, malware such as VPNFilter, Navidade, and SonarDNS has been used to compromise low-cost routers and commit all sorts of cybercrimes from DDoS attacks to ransomware deployments. Routers of the type concerned are used both to provide last-mile access for home users and to manage interdomain routing (BGP). MikroTik is a particular brand of low-cost router. In our previous research, we found more than 4 million MikroTik routers available on the internet. We have shown that these devices are also popular in Internet Exchange infrastructures. Despite their popularity, these devices are known to have numerous vulnerabilities. In this paper, we extend our previous analysis by presenting a long-term investigation of MikroTik-targeted attacks. By using a highly interactive honeypot that we developed, we collected more than 44 million packets over 120 days, from sensors deployed in Australia, Brazil, China, India, the Netherlands, and the United States. The incoming traffic was classified on the basis of Common Vulnerabilities and Exposures to detect attacks targeting MikroTik devices. That enabled us to identify a wide range of activities on the system, such as cryptocurrency mining, DNS server redirection, and more than 3,000 successfully established tunnels used for eavesdropping. Although this research focuses on Mikrotik devices, both the methodology and the publicly available scripts can be easily applied to any other type of network device.
Original languageEnglish
PublisherArXiv
Publication statusPublished - 3 Nov 2020

Keywords

  • cs.CR

Fingerprint Dive into the research topics of 'Characterising attacks targeting low-cost routers: a MikroTik case study (Extended)'. Together they form a unique fingerprint.

Cite this