VERSE PRESS

Crypto News, Global First.

Bitcoin as Bait: Saipan Woman Gets 71 Months for Affinity Fraud Targeting Elderly Women

A federal court in the Northern Mariana Islands sentenced a 30-year-old Saipan resident to nearly six years in prison last week for defrauding elderly women out of more than $769,000 by posing as a wealthy Bitcoin investor, in a case whose fraud mechanics mirror patterns documented across South Asia and West Africa.

|

Sze Man Yu Inos, known to her victims as "Yuki," was sentenced on April 23, 2026 by Chief Judge Ramona V. Manglona of the U.S. District Court for the Northern Mariana Islands (CNMI). She received 71 months in federal prison, three years of supervised release, 100 hours of community service, a $200 special assessment, and was ordered to pay $769,355.67 in restitution and forfeit an additional $684,848.34. The FBI investigated the case, and Assistant U.S. Attorney Garth R. Backe prosecuted it.

How the Scheme Worked

Inos ran a classic affinity fraud operation. She presented herself as a successful businesswoman from a prominent Chinese family who had built her wealth through Bitcoin investments. Rather than approaching victims with an immediate financial pitch, she cultivated trust over time through expensive meals and gifts before asking for money or cryptocurrency, according to court documents. When victims resisted or funds ran dry, she fabricated personal emergencies, including marital and business crises, to keep the money flowing. Court records show she targeted dozens of innocent victims, telling them, "You are like my mom," a phrase prosecutors cited as a deliberate emotional manipulation tactic. She also allegedly forged a federal judge's signature to support parts of her story.

The FBI formally classifies affinity fraud as one of the most damaging fraud types precisely because victims often delay reporting out of loyalty or embarrassment, a dynamic that suggests the victim count and total dollar figure in this case may be understated.

The fraud ran from November 2020 through January 2022 in Saipan and Guam, and then extended to Washington state and California. Inos was originally charged on eight counts but pleaded guilty to two counts of wire fraud. She was arrested in San Diego in April 2025 and returned to Saipan two months later.

"Criminals engaged in affinity fraud prey on our willingness to trust others," said Shawn N. Anderson, U.S. Attorney for the Districts of Guam and the Northern Mariana Islands. FBI Special Agent David Porter described Inos as someone who "built a career out of deception, leaving a trail of financial ruin."

A Regional Pattern in Federal Courts

The CNMI conviction does not stand alone. In 2024, a Guam cryptocurrency broker named Julien Abat Weymouth received 30 months in federal prison for a $5.5 million unlicensed Bitcoin exchange scheme. A separate former Guam resident received four years the same year for running a cryptocurrency Ponzi scheme that victimized more than 100 investors. The U.S. Secret Service's Guam Resident Office explicitly identifies the Pacific Island districts as a priority enforcement zone for cryptocurrency fraud.

The sentencing comparison raises questions about proportionality. Inos received a longer sentence (71 months) for a smaller scheme ($769K) than Weymouth received for a $5.5 million operation (30 months). Sentencing guidelines, the presence of vulnerable victims, and the emotional manipulation element may all be factors, but the court has not issued a public explanation for the disparity.

Why This Case Extends Beyond the Pacific

The mechanics of this fraud are not specific to Saipan. The "wealthy overseas Chinese investor" persona that Inos used mirrors documented scam archetypes circulating across South Asia and sub-Saharan Africa on WhatsApp and Telegram. In India, Bangladesh, Pakistan, and Sri Lanka, operators frequently pose as successful investors with Chinese, Singaporean, or Dubai-based identities and solicit cryptocurrency under a false Bitcoin investment pretext. Affinity fraud using cryptocurrency is also significantly under-reported across South Asia, where social stigma around victim disclosure discourages reporting, the same factor U.S. prosecutors have cited in cases like this one.

In Nigeria, Ghana, Kenya, and South Africa, similar trust-building patterns, including gifts, repeated social contact, and fabricated emergencies, have been documented in crypto affinity fraud cases targeting diaspora communities.

Chainalysis' 2026 Crypto Crime Report notes that Chinese Language Money Laundering Networks processed more than 10 percent of all pig-butchering scam proceeds in 2025. Pig-butchering refers to a long-con investment fraud where perpetrators slowly "fatten" victims with apparent returns before executing a final large-scale withdrawal. Inos operated a smaller individual scheme rather than an organized pig-butchering ring, but the persona and tactics are drawn from the same playbook.

The scale of the underlying problem is significant. The FBI's Internet Crime Complaint Center reported that Americans over 60 lost $4.43 billion to cryptocurrency fraud in 2025, the largest share of any age group. Separately, elder fraud losses across all crime types rose 59 percent over the prior year, the steepest single-year increase the IC3 has ever recorded.

Globally, Chainalysis tracked roughly $17 billion in on-chain crypto scam losses for 2025. The financial figures in the Inos case come from court-determined restitution, not blockchain forensics; no public on-chain address data has been released for this specific investigation.

What Comes Next

Understanding the regional context helps explain why the CNMI is particularly exposed to this type of fraud. The territory has a population of roughly 47,000, a large transient migrant worker population, a significant Chinese community presence, and a geography that isolates residents from the financial literacy infrastructure available on the U.S. mainland. That combination makes trust-based recruitment unusually effective and official intervention unusually difficult to reach.

The Inos case gives federal prosecutors in the Pacific Islands a clean precedent for trust-based Bitcoin fraud prosecutions, and it gives regulators elsewhere a documented template. Exchanges and wallet providers serving elderly users in under-resourced territories should consider behavioral flags for large first-time transfers initiated after sudden new social contact. Community crypto literacy programs in the CNMI, Guam, and analogous island territories have a specific, court-documented fraud pattern to work from. The broader lesson is that Bitcoin's role in these schemes is often secondary. The primary instrument is trust, and the sentence in Saipan reflects how seriously federal courts treat its abuse.