SALT LAKE CITY – August 13, 2018 – Venafi®, the leading provider of machine identity protection, today announced the results of a study on the security of election infrastructure. According to the study, ninety-three percent of security professionals are concerned about cyber-attacks targeting election infrastructure and data. Eighty-one percent believe cyber criminals will target election data as it is transmitted by machines, software and hardware applications, from local polling stations to central aggregation points.
“Last year, attendees at DEF CON managed to find and take advantage of vulnerabilities in five different voting machine types within 24 hours,” said Jeff Hudson, CEO of Venafi. “While these findings were disturbing, conference attendees only examined a small portion of election infrastructure. It’s clear to nearly all security professionals that the back-end systems that transmit, aggregate, tabulate, validate and store election data are at least as vulnerable to cyber-attacks as voting machines.”
Additional findings from the study include:
- Ninety-five percent believe election systems—including voting machines, software and back-end systems—should be considered critical infrastructure.
- When asked what areas of election infrastructure were most vulnerable to cyber attackers:
- Fifty-four percent say voting machines that collect election data.
- Fifty-two percent say encrypted communications between polling stations and back-end election systems.
- Fifty percent say systems that store voter registration data.
- Only two percent are very confident in their local, state and federal governments' abilities to detect cyber-attacks targeting election infrastructure. In addition, only three percent are very confident in their local, state and federal governments' abilities to block them.
- Sixty-four percent believe vulnerabilities and exploits connected with election systems are available to cyber attackers on the dark web.
Earlier this month, a grand jury issued a detailed indictment on international interference during the 2016 U.S. presidential election. Details in the indictment indicate that nation-state actors utilized encrypted tunnels to target vulnerabilities in election infrastructure, along with other attack methods. Attacks that hide in encrypted tunnels are difficult to detect and block without a comprehensive machine identity protection program in place.
“Security professionals clearly think that machine-to-machine communication in the electoral process is a high value asset for attackers targeting election results,” said Kevin Bocek, vice president of security strategy and threat intelligence for Venafi. “This is just one reason why governments around the world need to make the security of all encrypted, machine-to-machine communication their top concern.”
Conducted by Dimensional Research in July 2018, the study included responses from 411 IT security professionals in the U.S., U.K. and Australia.
Venafi is the cybersecurity market leader in machine identity protection, securing connections and communications between machines. Venafi protects machine identity types by orchestrating cryptographic keys and digital certificates for SSL/TLS, IoT, mobile and SSH. Venafi provides global visibility of machine identities and the risks associated with them for the extended enterprise—on premises, mobile, virtual, cloud and IoT—at machine speed and scale. Venafi puts this intelligence into action with automated remediation that reduces the security and availability risks connected with weak or compromised machine identities while safeguarding the flow of information to trusted machines and preventing communication with machines that are not trusted.
With over 30 patents, Venafi delivers innovative solutions for the world's most demanding, security-conscious Global 5000 organizations, including the top five U.S. health insurers; the top five U.S. airlines; four of the top five U.S., U.K., Australian and South African banks; and four of the top five U.S. retailers. For more information, visit: http://venafi.com.
# # #