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Prediction Markets Scale Only as Far as Their Infrastructure Allows

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Crypto Breaking News

Prediction markets have shed their experimental veneer and matured into a durable layer of crypto finance. New research shows a dramatic uptick in activity, with monthly notional volumes surpassing $13 billion by late 2025, up from under $100 million in early 2024. The growth isn’t just about more traders; it reflects broader participation across verticals and a shift in product design toward trustworthy settlement and deterministic outcomes. Even as regulators scrutinize the space, trading volume continues to rise, underscoring a persistent demand for markets that reveal information about future events. This piece examines how the industry’s next leap hinges on resolution infrastructure—how outcomes are determined, verified, and settled—as much as on liquidity or incentives. The analysis draws on a joint research effort from Dune and Keyrock that maps the trajectory of prediction markets and their evolving architecture.

Key takeaways

  • Prediction-market activity has moved beyond the initial breakout phase, reaching more than $13 billion in monthly notional volume by late 2025, with diversification across sports, politics, macro indicators, and other domains.
  • Trust in resolution—how an outcome is determined and settled—emerges as the central bottleneck as the market footprint expands and disputes become more common.
  • Resolution architecture, including bond-based dispute mechanisms, challenge windows, and arbitration paths, is increasingly treated as infrastructure rather than a product feature.
  • Industry players point to explicit, auditable resolution rules as a prerequisite for institutional participation and scalable growth.
  • Despite regulatory pressure, the sector’s growth persists, indicating a mature demand for on-chain information markets backed by robust settlement guarantees.

Sentiment: Neutral

Market context: The momentum in prediction markets aligns with a broader shift toward information-centric crypto infrastructure, where reliability of resolution and governance increasingly shapes user trust and capital allocation.

Why it matters

As prediction markets scale, the quality of their resolution mechanisms becomes a practical measure of reliability. Traders buy conditional claims on future events, and the system must convert those claims into redeemable value once an outcome is determined. When resolution is slow, ambiguous, or discretionary, traders price in risk, which dampens liquidity and narrows participation to a few trusted markets. The industry is learning that resolution is not a cosmetic feature but a core component of financial infrastructure—analogous to how custody, execution, and liquidation became baseline expectations in centralized finance years ago.

The push toward explicit, auditable resolution rules has practical implications for builders and users. Platforms are redesigning governance and protocol logic to preempt disputes rather than resolve them retroactively. Bond sizes, dispute windows, and arbitration pathways are being calibrated to scale with open interest, ensuring that the cost of manipulation grows alongside demand. In this sense, resolution architecture is not just about ending a disagreement; it is about creating a predictable settlement environment that institutions can rely on and integrate into broader risk management frameworks.

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These shifts echo a broader trend in crypto: moving from product features that attract early adopters to system properties that institutions expect as standard. Just as custody and execution transitioned from optional features to fundamental expectations, resolution is trending toward becoming a durable layer of the prediction-market stack. That transformation—where resolution becomes infrastructure—could unlock a wider spectrum of use cases, from hedging macro surprises to funding governance experiments with verifiable outcomes.

In this evolving landscape, the industry’s focus on resolution is underscored by concrete design choices. Optimistic oracle designs—where an answer is presumed correct unless challenged—are paired with financial incentives to deter false reporting. A fixed challenge window opens after an event, inviting disputes through post-event bonding. The more significant disputes become, the larger the bond requirement, raising the economic cost of manipulation. When disputes are unresolved, arbitration by decentralized jurors can determine the outcome and enforce it back into the oracle state. This framework, and the mechanisms that support it, are increasingly viewed as essential public goods for a robust, scalable prediction market ecosystem.

Some projects are already codifying these ideas into formal infrastructure. For example, Seer Resolution Infrastructure represents a blueprint for how resolution paths and arbitrage channels can be standardized across prediction markets. See the evolving documentation and diagrams that illustrate how resolution interacts with market creation, oracle questions, and final settlement. Such references help align market design with practical execution, reducing ambiguity at the moment of settlement and enabling more reliable capital formation around information events.

Beyond the technical specifics, the market’s appetite for reliable resolution is evident in historic patterns. The industry has observed sustained post-event activity even as high-profile regulatory actions target the space. The growth of prediction-market volumes has persisted, suggesting that traders are not simply chasing novelty but seeking durable informational endpoints and transactable risk. In parallel, classic industry players and new entrants alike are exploring standalone platforms and interoperability approaches that place resolution at the center of product strategy, rather than as an afterthought when a dispute arises.

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In practical terms, the industry’s trajectory signals a shift from “product feature” to “infrastructure as a standard.” This reorientation implies a higher bar for market design: markets must be live with explicit resolution definitions, markets must scale their bonds and arbitrage paths to accommodate growing open interest, and arbitration processes should be predictable and enforceable across jurisdictions and platforms. When these properties are embedded in the protocol from day one, prediction markets begin to function more like traditional financial systems—reliable venues for price discovery and risk transfer in the realm of future events.

The broader takeaway is clear: resolution is becoming the backbone of prediction-market growth. Platforms that bake clear, verifiable rules into their core architecture are more likely to attract participants, liquidity providers, and institutional capital. The industry’s push toward resolution-focused design—from explicit outcome criteria to auditable settlement workflows—frames the next phase of growth as a maturation of financial infrastructure, rather than a series of isolated product launches.

As one senior analyst noted in the industry discourse, “Resolution is undergoing the same transition as custody and execution did years ago—no longer a differentiator but a baseline expectation.” This shift matters for anyone who uses prediction markets for information signals, hedging, or governance experiments. The promise is not merely more bets; it is more trustworthy outcomes, settled with speed and clarity that participants can rely on for financial planning and decision-making.

Analysts and builders continue to monitor the ongoing development of the resolution layer, including the interplay between optimistic finalization, bond economics, and dispute arbitrage. The goal is an ecosystem where outcomes can be deterministically converted into value in a timely, auditable manner—an essential criterion for widespread adoption and durable liquidity.

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Opinion by: David Azubike, lead analyst at Blocksquare

Further reading and contextual links to ongoing research and architecture diagrams can be found in related documentation and coverage cited in the references.

What to watch next

  • Publishments and updates detailing explicit resolution rules for ongoing prediction markets, including changes to bonding and challenge windows.
  • Arbitration pathway enhancements and standardization across platforms to ensure enforceability of settlements.
  • Governance votes or protocol upgrades that affect how final outcomes are proposed and validated by oracles.
  • New platform launches and interoperability efforts that emphasize resolution as a core infrastructure layer.
  • Regulatory developments and compliance guidance affecting the legality and structure of prediction-market platforms.

Sources & verification

  • Data dashboards and metrics on prediction markets via Dune.
  • Joint research context from Keyrock detailing market growth and architecture.
  • Historical volumes and coverage related to prediction-market activity, including articles such as Prediction market trading volumes hit new high.
  • Industry reference: Crypto.com’s standalone prediction market platform launch, discussed in coverage linked within the source material.
  • Seer Resolution Infrastructure documentation outlining architecture and interaction with the prediction market stack.

What the article topic changes

Resolution-centric design is redefining how prediction markets communicate risk, resolve disputes, and settle funds. The shift toward auditable, enforceable outcomes promises more stable liquidity and broader inclusion of market participants, including institutions that require transparent settlement processes. The industry’s evolution suggests that prediction markets will increasingly function as information infrastructure—supporting decision-making and risk management in a way that mirrors traditional financial markets, but tailored to the unique demands of forecasting future events.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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BTC nears one-month high of $74,000

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Bitcoin and periods with negative 30-day average perpetual funding rates (K33 Research)

Bitcoin is adding to overnight gains in early U.S. trading on Friday, continuing to show strong relative price action after many months of underperformance to assets like stocks and precious metals.

Trading at $73,500, bitcoin is higher by nearly 5% over the past 24 hours, with most of those gains coming after U.S. Treasury Secretary Scott Bessent on Thursday evening said the Trump administration is taking concrete steps to try and cap surging oil prices.

Bitcoin is now higher by about 11% since the Iran war broke out, outperforming broad U.S. stock indices and gold, both of which have lost ground since the bombs began dropping about two weeks ago.

WTI oil on Friday is trading at $94.50 per barrel, down from a high of nearly $98 on Thursday. U.S. stocks are posting gains of about 0.5%.

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Oil raises stagflationary risk

The recent spike in oil prices is putting direct pressure on household budgets and, if sustained, could weaken consumer spending and slow economic growth, according to Olu Sonola, head of US economics at Fitch Ratings.

“Yes, the broader economy is still expected to grow at trend, but that forecast increasingly looks fragile as downside risks accumulate. … The Fed can shrug off pockets of weakening growth, but resurgent inflation severely limits its room to maneuver, leaving policy potentially stranded for months,” he wrote in a note.

Relief bounce

After a period of some of the worst sentiment in bitcoin’s history, it’s perhaps not too surprising that there’s been some modest gains of late.

Funding positioning of perpetual futures traders has been negative for the longest period since late 2022, K33 Research analyst Vetle Lunde noted. This means traders who are shorting bitcoin are paying longs to keep their trades open, resulting in a negative funding rate. Late 2022, of course, coincided with the aftermath of the FTX crash when BTC traded around $16,000 versus $69,000 one year earlier.

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The 30-day average funding rate has now been negative for 14 consecutive days, the longest since December 2022, Lunde pointed out. These negative streaks coincided with local price bottoms over the past seven years, he added.

In the meantime, bitcoin open interest in perpetual and dated futures has risen 9% over the past 24 hours to around 700,000 BTC, the highest level since Feb. 6. Add it all up, and that creates the conditions for a short squeeze.

Bitcoin and periods with negative 30-day average perpetual funding rates (K33 Research)
Bitcoin and periods with negative 30-day average perpetual funding rates (K33 Research)
Friday gain

The day isn’t over yet, but this would be the first Friday gain since the Middle East conflict began on Feb. 27. That might suggest a less volatile weekend for crypto, which has gotten in the habit of declining on Saturdays and Sundays in recent weeks.

March is also shaping up to be a turning point for bitcoin. The asset is up about 8% so far this month. Again, it’s early, but a March advance would break BTC’s five-month losing streak.

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BlackRock’s Staked Ethereum ETF Sees Over $43M in Inflows on Day One

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Day-one trading volume for ETHB on Nasdaq reached over $16.5 million.

BlackRock’s iShares Staked Ethereum Trust ETF (ETHB) saw a strong debut on the Nasdaq on Thursday, March 12, drawing $43.48 million in net inflows and recording $16.54 million in trading volume on its first day, according to data from SoSoValue.

The only U.S. spot ETH ETF to outperform ETHB in net inflows on the day was Fidelity’s FETH, which pulled in just over $52 million, and saw $83.91 million in trading volume yesterday.

BlackRock’s spot-only Ethereum ETF, ETHA, saw $18.68 million in net inflows on the same day.

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Bloomberg ETF analyst James Seyffart called the debut “very, very solid for a day 1 ETF launch” in an X post on Thursday.

As The Defiant reported yesterday, ETHB is BlackRock’s third crypto ETF and its first to incorporate staking, combining spot ETH exposure with monthly staking income. Coinbase Prime handles ETH custody, per the firm’s press release.

The product carries a 0.25% sponsor fee, waived down to 0.12% for the first year on up to $2.5 billion in assets.

According to the fund’s prospectus as of March 11, filed with the U.S. Securities and Exchange Commission (SEC), BlackRock intends to stake between 70% and 95% of the trust’s ETH holdings “under normal market circumstances.”

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BlackRock also said in its prospectus that it will stake ETH either via its ETH custodian, aka Coinbase, with one or more staking services providers, which could be Coinbase affiliates, or “other approved third-party validators.”

As The Defiant previously reported, ETHB is not the first staked ETH product in the U.S., but BlackRock’s market dominance across both Ethereum and Bitcoin ETFs in the U.S. makes ETHB’s entry a significant moment for the staked ETH market.

The launch follows key regulatory milestones that cleared the path for yield-bearing crypto ETFs. An SEC division issued staff guidance last May stating that staking is not a securities transaction — a staff-level position, not a formal rule — and the SEC formally acknowledged BlackRock’s staking filing last July.

The spot price of ETH rallied about 6% over the past 24 hours, reaching almost $2,200. ETH is now up on the weekly and monthly timeframes, 7% and 12% respectively.

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24-hour ETH price chart. Source: CoinGecko

This article was written with the assistance of AI workflows. All our stories are curated, edited and fact-checked by a human.

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AMC Robotics and HIVE collaborate on AI robotics compute infrastructure

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Crypto Breaking News

Editor’s note: This editorial previews the joint effort by AMC Robotics and HIVE to push AI-driven robotics compute infrastructure. The partners say the collaboration will use HIVE’s GPU AI Cloud resources to back AMC’s Kyro platform as it scales from lab testing toward real-world deployment, with demonstrations of autonomous navigation and heat detection highlighted in Tokyo. Beyond immediate compute needs, the companies are exploring broader cooperation in AI optimization, data processing, and scalable infrastructure to support future product initiatives.

As we continue to expand our AI-driven robotics solutions, access to reliable and scalable infrastructure is increasingly important.

Key points

  • AMC Robotics and HIVE are collaborating to advance AI-driven robotics compute infrastructure.
  • AMC will use HIVE’s GPU AI Cloud compute resources to support development, testing, and deployment of Kyro and related robotics solutions.
  • Kyro demonstrated autonomous navigation, abnormal heat detection, and remote operation at the Tokyo Security Show 2026.
  • The collaboration may expand to AI optimization, data processing, and infrastructure scalability with future arrangements subject to mutual terms.

Why this matters

The partnership signals growing demand for scalable AI compute as robotics move toward real-time edge applications. By combining Kyro’s autonomous platform with HIVE’s GPU AI Cloud, AMC and HIVE aim to improve performance, flexibility, and scalability, accelerating innovation at the AI-robotics frontier and enabling real-time video processing and navigation in challenging environments.

What to watch next

  • Further collaboration across AI optimization, data processing, and infrastructure scalability as opportunities emerge.
  • Progress of Kyro from lab demonstrations to real-world deployment with scalable compute resources.
  • Expansion of HIVE’s BUZZ GPU AI Cloud infrastructure to support robotics workloads globally.

Disclosure: The content below is a press release provided by the company/PR representative. It is published for informational purposes.

AMC ROBOTICS AND HIVE ANNOUNCE COLLABORATION TO ADVANCE AI-DRIVEN ROBOTICS COMPUTE INFRASTRUCTURE

12 Mar 2026

AMC Robotics and HIVE Announce Collaboration to Advance AI-Driven Robotics Compute InfrastructureThis news release constitutes a “designated news release” for the purposes of the Company’s prospectus supplement dated November 25, 2025 to its short form base shelf prospectus dated October 31, 2025. San Antonio, TX, March 13, 2026 — AMC Robotics Corporation (Nasdaq: AMCI) (“AMC Robotics” or the “Company”), an AI-driven robotics solutions provider, and HIVE Digital Technologies (“HIVE”) (TSX.V: HIVE) (Nasdaq: HIVE) (FSE: YO0) (BVC: HIVECO), a global leader in sustainable digital infrastructure and AI compute, today jointly announced a strategic collaboration focused on advancing next-generation AI-driven robotics applications and scalable infrastructure capabilities.

Through this collaboration, AMC Robotics has begun utilizing HIVE’s GPU AI compute infrastructure and related services to support the Company’s expanding development, testing, and deployment needs. In parallel, the two companies are actively exploring broader areas of cooperation, including potential collaboration across AI optimization, data processing, and infrastructure scalability to support future product initiatives.

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AMC Robotics recently featured its AI-powered quadruped robot Kyro™ at the Tokyo Security Show 2026, as an active demonstration of autonomous security technology. The robot serves as a mobile AI edge computing platform, capable of operating independently in complex environments and supporting real-time monitoring and inspection. During the exhibition, Kyro™ performed live demonstrations of autonomous navigation, abnormal heat detection, and remote operation, showcasing how robotics can support security and inspection tasks in challenging environments.

A video demonstration of AMC Robotics’ Kyro™ platform in action is available at https://amc-media.amcx.ai/rebotdog.mp4. Additional information on AMC’s robotic solutions can be found at https://amcx.ai/solutions/robotic-dogs/.

As AMC Robotics continues advancing AI-driven robotics applications, particularly for real-time video processing and navigation, access to scalable GPU computing infrastructure becomes increasingly critical. HIVE has been expanding its GPU AI Cloud infrastructure globally through its BUZZ HPC subsidiary, servicing growing enterprise demand across AI training, inference, and now robotics workloads, where it will provide AMC Robotics with the compute resources needed to support its growing development and deployment activities.

The collaboration reflects a shared vision between AMC Robotics and HIVE to accelerate innovation at the intersection of artificial intelligence, robotics, and intelligent infrastructure. By leveraging HIVE’s technical capabilities and AMC Robotics’ application-driven robotics platform, the parties aim to enhance performance efficiency, development flexibility, and long-term scalability.

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“As we continue to expand our AI-driven robotics solutions, access to reliable and scalable infrastructure is increasingly important,” said Sean Da, CEO of AMC Robotics. “Our collaboration with HIVE supports our current operational needs while also opening the door to potential deeper collaboration as we look ahead.”

Frank Holmes, Co-Founder & Executive Chairman of HIVE, stated, “We are seeing the next turn of the AI industrial revolution with the advent of robotics, for security, for logistics, and many new novel applications in manufacturing. This is accelerating as the autonomy, stability, and accuracy of AI-enabled robots evolve. These machines will take on the dangerous, the dull, and the impossible, and the companies building the infrastructure behind them will define the next decade. We are seeing massive investment from the most valuable companies in the world into AI robotics (notably Tesla’s Optimus robots), and the HIVE and AMC Robotics strategic collaboration positions our firms right in the center of these growing markets.”

Aydin Kilic, President & CEO of HIVE, said, “We believe robotics applications may represent a growing area of demand for AI compute infrastructure. As our GPU AI Cloud platform expands globally to service growing AI demand and broad industrial use cases, we see meaningful opportunities to work with AMC Robotics as it advances intelligent robotics applications across a growing range of use cases. As innovators in our respective fields, HIVE’s BUZZ GPU AI Cloud will provide scalable and high-performance compute for AMC Robotics’ ramp from lab to real-world deployment at scale.”

The companies emphasized that the collaboration is expected to evolve over time as HIVE scales its global infrastructure and AMC Robotics moves toward production deployment. Any future arrangements would be subject to further evaluation and mutually agreed terms.

About AMC Robotics Corporation

AMC Robotics (Nasdaq: AMCI) is an AI-driven robotics company focused on developing intelligent, scalable hardware and software solutions. The Company’s quadruped robotic platform, Kyro™, enables industries to automate inspection, security, and operational tasks through autonomous mobility and AI-powered perception. For more information, please visit www.amcx.ai.

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About HIVE Digital Technologies Ltd.

Founded in 2017, HIVE Digital Technologies Ltd. is the first publicly listed company to mine digital assets powered by green energy. Today, HIVE builds and operates next-generation Tier-I and Tier-III data centers across Canada, Sweden, and Paraguay, serving both Bitcoin and high-performance computing clients. HIVE’s twin-turbo engine infrastructure-driven by hashrate services and GPU-accelerated AI computing-delivers scalable, environmentally responsible solutions for the digital economy.

For more information, visit hivedigitaltech.com, or connect with us on:

X: https://x.com/HIVEDigitalTech
YouTube: https://www.youtube.com/@HIVEDigitalTech
Instagram: https://www.instagram.com/hivedigitaltechnologies/
LinkedIn: https://linkedin.com/company/hiveblockchain

On Behalf of HIVE Digital Technologies Ltd.

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“Frank Holmes”
Executive Chairman

For further information, please contact:

Nathan Fast, Director of Marketing and Branding
Frank Holmes, Executive Chairman
Aydin Kilic, President & CEO

Tel: (604) 664-1078

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Craig Mychajluk, Managing Director – Investor Relations, Alliance Advisors IR

E: AMCRoboticsIR@allianceadvisors.com

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release.

Cautionary Note Regarding Forward Looking Statements

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This press release may contain statements that constitute “forward-looking statements” as defined in the Private Securities Litigation Reform Act of 1995. Forward-looking statements include information concerning the Company’s possible or assumed future results of operations, business strategies, debt levels, competitive position, industry environment, potential growth opportunities, and the effects of regulation. These forward-looking statements are based on the Company’s management’s current expectations, projections, and beliefs, as well as a number of assumptions concerning future events. When used in this communication, the words “estimates,” “projected,” “expects,” “anticipates,” “forecasts,” “plans,” “intends,” “believes,” “seeks,” “may,” “will,” “should,” “future,” “propose,” and variations of these words or similar expressions (or the negative versions of such words or expressions) are intended to identify forward-looking statements.

These forward-looking statements are not guarantees of future performance, conditions, or results, and involve a number of known and unknown risks, uncertainties, assumptions, and other important factors, many of which are outside of the Company’s control, that could cause actual results to differ materially from the results discussed in the forward-looking statements. These risks, uncertainties, assumptions, and other important factors include, but are not limited to: (a) challenges in opening operations in new jurisdictions, including but not limited to compliance with local ordinances, obtaining any necessary permits and regulatory oversight; (b) the ability to recognize the anticipated benefits of the new operations; (c) the outcome of any legal proceedings that may be instituted against the Company; (d) the ability to continue to meet the applicable stock exchange listing standards; (e) the effect of the Company’s recently completed business combination with AlphaVest Acquisition Corp (“AlphaVest”) on the Company’s business relationships, performance, and business generally and the risk that such transaction further disrupts current plans and operations of the Company or its subsidiaries; (f) the ability to recognize the anticipated benefits of the transaction with AlphaVest, which may be affected by, among other things, competition, the ability of the Company to grow and manage growth profitably, maintain relationships with customers and suppliers and retain its management and key employees; (g) changes in applicable laws or regulations, including legal or regulatory developments (including, without limitation, accounting considerations); (h) the possibility that AMC Robotics may be adversely affected by other economic, business, and/or competitive factors; (i) AMC Robotics’ estimates of expenses and profitability; and (j) other risks and uncertainties indicated under “Risk Factors” contained in the definitive proxy statement/prospectus for the transaction with AlphaVest, and other documents filed or to be filed with the SEC by AMC Robotics. Copies are available on the SEC’s website, www.sec.gov. You are cautioned not to place undue reliance upon any forward-looking statements, which speak only as of the date made.

The Company assumes no obligation and, except as required by law, does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. The Company gives no assurance that it will achieve its expectations.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Authorities Dismantle SocksEscort Proxy Network and Crypto Fraud

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Authorities Dismantle SocksEscort Proxy Network and Crypto Fraud

US and European authorities said Thursday they had disrupted SocksEscort, a malicious proxy service used by cybercriminals to hide their identities while carrying out fraud, including cryptocurrency account takeovers.

The DOJ said the service compromised at least 369,000 routers and other internet-connected devices in 163 countries, giving cybercriminals control over proxies that hid their true IP addresses.

The platform reportedly enabled crimes, including bank fraud and cryptocurrency account takeovers, since 2020. In one case cited by prosecutors, a victim in New York lost roughly $1 million in cryptocurrency.

Authorities said they seized 34 domains, disrupted about two dozen servers across seven countries and froze about $3.5 million in cryptocurrency linked to the operation.

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The network received at least $5.7 million from users

To access the proxy service, customers used a payment platform that allowed them to purchase it anonymously with cryptocurrency, according to a statement by Europol.

Investigators estimate that SocksEscort received at least 5 million euros ($5.7 million) from its users.

“Proxy services like ‘SocksEscort’ provide criminals with the digital cover they need to launch attacks, distribute illegal content and evade detection,” Europol Executive Director Catherine De Bolle said.

Source: The Hacker News

“Operations like this show that when investigators connect the dots internationally, the infrastructure behind cybercrime can be exposed and shut down,” she added.

The operation involved agencies from multiple countries

The takedown was part of a coordinated international effort that included law enforcement agencies from Austria, France, the Netherlands, Germany, Hungary, Romania and the US.

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The FBI Sacramento Field Office, the Department of Defense Office of Inspector General’s Defense Criminal Investigative Service, and IRS Criminal Investigation Oakland Field Office were among the US agencies involved. Europol and Eurojust provided investigative and operational support for the cross-border operation.

Related: Sweden probes reported leak of e-government platform source code

The DOJ also acknowledged the assistance of Black Lotus Labs, the threat intelligence unit of the US telecom company Lumen Technologies, and the nonprofit organization Shadowserver Foundation, which provided technical intelligence during the investigation.

According to The Hacker News, SocksEscort relied on malware known as AVrecon, details of which were publicly documented by Black Lotus Labs in July 2023.

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Magazine: All 21 million Bitcoin is at risk from quantum computers