Ex-Nigerian official pleads guilty to pandemic relief fraud


PTI | Tacoma | Updated: 04-05-2022 07:00 IST | Created: 04-05-2022 07:00 IST
Ex-Nigerian official pleads guilty to pandemic relief fraud
  • Country:
  • United States

A former Nigerian government official arrested in connection with a massive fraud against Washington state's pandemic relief efforts pleaded guilty in federal court, prosecutors said.

Abidemi Rufai, 45, of Lekki, Nigeria, acknowledged in US District Court in Tacoma on Tuesday that he used stolen identities to receive more than USD 3,50,000 in pandemic-related unemployment benefits from Washington state.

He also admitted earlier frauds: Since 2017, he had obtained identifying information for more than 20,000 Americans, submitted USD 2 million in claims for disaster relief and other federal benefits, and received more than USD 6,00,000, prosecutors said.

Rufai was the special assistant to the governor of Nigeria's Ogun state when he was arrested at New York's JFK Airport on his way to Nigeria in May 2021.

The case against him helped illustrate how Washington's Employment Security Department had succumbed to widespread fraud — paying out some USD 650 million in bogus claims before recovering about USD 380 million — as it tried to distribute benefits designed to help people financially weather the pandemic.

Rufai employed a feature of Gmail, Google's free email service, that let him use a single email account, altered by the addition of periods to the address, to file multiple unemployment claims in Washington and elsewhere using stolen Social Security numbers and other personal data.

Rufai faces up to 32 years in prison for wire fraud related to a presidentially declared disaster and aggravated identity theft. Prosecutors agreed to recommend less than six years, Seattle US Attorney Nick Brown said in a news release.

Rufai also agreed to pay restitution to the agencies he defrauded, though his ability to do that remained unclear.

(This story has not been edited by Devdiscourse staff and is auto-generated from a syndicated feed.)

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