A Canary in the Voting Booth: Attacks on a Virtual Voting Machine
摘要
Elections are critically contentious and attempted interference must be monitored. To better understand how an attacker might attempt to compromise an internet facing voting infrastructure, we built and deployed a Virtual Voting Machine (VVM) to masquerade as a real electronic voting machine during the 2022 U.S. midterm elections. The honeypot collected 17,682 hits from October 27 to November 9, 2022, even though it was neither publicized nor associated with known elections infrastructure. This paper describes how anyone running such a honeypot might find a huge number of automated hits that are uninteresting, as well as a few that were interesting. We analyzed this traffic and found that many hits resulted from bot-based scraping of our digital architecture or internal security tests. We also received two credible threat types including: 1) infection attempts from the Mirai and Mozi botnets, and 2) a sophisticated tunneling attempt that appeared to originate from overseas. We propose that deployments of VVM honeypots will help understand potential attacker’s techniques and sophistication. VVM honeypots may also help defenders prepare for and manage real attacks against electronic elections infrastructures.