U.S. Federal Prosecutor Appeals to Increase Sentence of HashFlare Mining Fraud Case Mastermind
BlockBeats News, August 27th, according to Decrypt report, U.S. federal prosecutors have appealed to the Ninth Circuit Court of Appeals to seek an increase in the "time served" sentence for Estonian citizens Sergei Potapenko and Ivan Turõgin in the $577 million HashFlare cryptocurrency Ponzi scheme case, with the federal prosecutors calling it "unusually lenient."
The two had previously pleaded guilty to conspiracy, defrauding 440,000 global victims between 2015 and 2019 through false mining contracts, presenting a fictitious "dashboard" of returns, and using the funds for luxury goods and to pay early withdrawers. Previously, the judge sentenced the two to three years of supervised release and a $25,000 fine each, rejecting the prosecutor's request for a 10-year prison term citing concerns over the treatment of foreign defendants in the U.S., including a possible "indefinite detention." Legal experts say the judge's reasoning based on "time served, immigration risk, and restitution concerns" is sufficient, and the Ninth Circuit Court of Appeals generally respects the trial judge's discretion, making a upheld ruling likely, but the lenient sentence could weaken the deterrence of economic crimes. The case has seized $400 million for victim compensation and is referred to as the "largest fraud case in the Western District of Washington."
You may also like

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War
Who is the true winner of the "Tokenization" narrative?
Moss: The Era of AI-Traded by Anyone | Project Introduction
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.