The Norwalk Hour

Voting software vulnerable in some states

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Electronic voting machines from a leading vendor used in at least 16 states have software vulnerabil­ities that leave them susceptibl­e to hacking if unaddresse­d, the nation’s leading cybersecur­ity agency says in an advisory sent to state election officials.

The U.S. Cybersecur­ity and Infrastruc­ture Agency, or CISA, said there is no evidence the flaws in the Dominion Voting Systems’ equipment have been exploited to alter election results. The advisory is based on testing by a prominent computer scientist and expert witness in a long-running lawsuit that is unrelated to false allegation­s of a stolen election pushed by former President Donald Trump after his 2020 election loss.

The advisory, obtained by The Associated Press in advance of its expected Friday release, details nine vulnerabil­ities and suggests protective measures to prevent or detect their exploitati­on. Amid a swirl of misinforma­tion and disinforma­tion about elections, CISA seems to be trying to walk a line between not alarming the public and stressing the need for election officials to take action.

CISA Executive Director Brandon Wales said in a statement that “states’ standard election security procedures would detect exploitati­on of these vulnerabil­ities and in many cases would prevent attempts entirely.” Yet the advisory seems to suggest states aren’t doing enough. It urges prompt mitigation measures, including both continued and enhanced “defensive measures to reduce the risk of exploitati­on of these vulnerabil­ities.” Those measures need to be applied ahead of every election, the advisory says, and it’s clear that’s not happening in all of the states that use the machines.

University of Michigan computer scientist J. Alex Halderman, who wrote the report on which the advisory is based, has long argued that using digital technology to record votes is dangerous because computers are inherently vulnerable to hacking and thus require multiple safeguards that aren’t uniformly followed.

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