US Edition
Arizonan Sentenced for Helping North Koreans Get U.S. Jobs
MARICOPA COUNTY, ARIZONA, JUL 28 – Christina Chapman ran a laptop farm enabling North Korean cyber workers to impersonate Americans and earn over $17 million by infiltrating hundreds of U.S. companies.
- Following her guilty plea earlier this year, Christina Marie Chapman was sentenced to federal prison after pleading guilty this year to wire fraud, aggravated identity theft and conspiracy to launder monetary instruments.
- Amid an international cyber espionage operation, Chapman hosted computers at her home to help North Korean cyber workers use stolen American identities for schemes generating over $17 million at 309 American companies.
- Authorities found shipments of more than 90 laptops to a Chinese city bordering North Korea during a 2023 search of Chapman's home.
- Chapman faces nine counts of conspiracy and identity theft, must forfeit more than $17 million, and will serve three years of supervised release.
- Galeotti cautioned companies to remain vigilant against one of the largest North Korean IT worker fraud schemes.
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Arizona woman sentenced in North Korea tech-worker scheme
(CNN, KYMA/KECY) - A woman in Arizona has been sentenced to more than eight years in prison for a complex international tech scheme. According to the Department of Justice, Christina Chapman operated a laptop farm from her home. Chapman helped North Korean cyber workers pose as Americans to get remote IT jobs at hundreds of U.S. companies. The plot involved using stolen American identities, and the scheme generated more than $17 millions in reve…
The U.S. court has just sentenced a woman living in Arizona to 102 months in prison for hosting a few computers. While the case may seem saugrenuous at first sight, it is actually part of a massive campaign of fraud and spying led by North Korea.
Coverage Details
Total News Sources31
Leaning Left3Leaning Right6Center6Last UpdatedBias Distribution40% Center, 40% Right
Bias Distribution
- 40% of the sources are Center, 40% of the sources lean Right
40% Right
L 20%
C 40%
R 40%
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