US Charges Trio In Brutal Crypto Wrench Attack Campaign

bitcoinistОпубліковано о 2026-05-13Востаннє оновлено о 2026-05-13

Анотація

A federal grand jury in San Francisco has indicted three men from Tennessee—Elijah Armstrong, Nino Chindavanh, and Jayden Rucker—on charges including conspiracy to commit robbery and kidnapping. The group is accused of carrying out a series of violent "wrench attacks" across California between November and December last year. Posing as delivery drivers to gain entry into victims' homes, they used threats and physical violence to force the victims to surrender their cryptocurrency seed phrases, stealing at least $6.5 million. Authorities highlight that such violent crimes targeting crypto owners are becoming more common, exploiting the public visibility of on-chain wealth. The case underscores a critical vulnerability in digital asset security, as seed phrases obtained under duress grant irreversible control over wallets.

A federal grand jury in San Francisco has indicted three Tennessee men on charges that include conspiracy to commit robbery and kidnapping after prosecutors say the group carried out a series of wrench attacks — crimes where victims are physically threatened or harmed to force them to hand over crypto — stealing at least $6.5 million from victims across California.

A Violent Scheme With A Simple Disguise

Elijah Armstrong, Nino Chindavanh, and Jayden Rucker allegedly posed as delivery drivers to get inside their targets’ homes. Once in, they used threats of violence to force victims to hand over their crypto seed phrases — the recovery keys that grant full access to a digital wallet.

According to the Justice Department, the attacks took place between November 22 and December 31 last year across the Los Angeles area and the San Francisco Bay Area. Prosecutors identified at least four people targeted during that period.

One victim was forced to transfer $6.5 million in cryptocurrency to a wallet controlled by the group. That figure represents the bulk of what prosecutors say was stolen during the entire campaign.

BTCUSD now trading at $80,649. Chart: TradingView

Craig Missakian, the US Attorney for the Northern District of California, did not mince words. “These individuals, as alleged, terrorized their victims in the hopes of stealing vast sums of cryptocurrency,” he said in a statement Monday. “The scheme was not only sophisticated, it was brazen, violent, and dangerous.”

Physical Attacks On Crypto Owners Are Rising

The three men were arrested in December. Armstrong and Rucker are scheduled to appear in court Tuesday. Chindavanh is set to appear June 26. All three face charges of conspiracy to commit robbery, conspiracy to commit kidnapping, attempted robbery, and attempted kidnapping.

Reports from blockchain intelligence firm TRM Labs indicate that attacks like these have grown more common because personal data is easier than ever to find online.

Crypto wrench attacks are turning digital wealth into a real-world target.
 Image: Yahoo News

The public nature of crypto wealth — visible on-chain to anyone who knows where to look — combined with the perceived anonymity of transactions has made holders attractive targets for criminals willing to use force.

The California cases are not isolated. French authorities charged 88 people in April in connection with similar attacks on cryptocurrency owners in that country.

Seed Phrases And The Limits Of Digital Security

Physical attacks of this kind expose a gap that no encryption can fix. A seed phrase, once spoken under duress, hands over complete control of a wallet with no way to reverse a transfer after the fact. The indictment, filed in federal court in San Francisco, was unsealed Monday.

Featured image from Pexels, chart from TradingView

Пов'язані питання

QWhat specific charges were the three Tennessee men indicted for?

AThey were indicted on charges of conspiracy to commit robbery, conspiracy to commit kidnapping, attempted robbery, and attempted kidnapping.

QWhat was the total amount of cryptocurrency prosecutors say was stolen from the primary victim?

AProsecutors say at least $6.5 million in cryptocurrency was transferred by one victim to a wallet controlled by the group.

QAccording to the article, how did the suspects gain access to their victims' homes?

AThey allegedly posed as delivery drivers to get inside their targets' homes.

QWhat critical piece of information did the attackers force their victims to hand over to access the crypto wallets?

AThey forced victims to hand over their crypto seed phrases, which are the recovery keys that grant full access to a digital wallet.

QWhat is one reason, mentioned in the article from TRM Labs, for the rise in physical attacks against crypto owners?

AReports indicate such attacks have grown more common because personal data is easier than ever to find online, and the public nature of on-chain crypto wealth makes holders attractive targets.

Пов'язані матеріали

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

Anthropomorphic "Teletubby" robot offers cleaning services in San Francisco at $30/hour, but it's entirely remote-controlled. The robot, created by startup Tau Robotics, can perform household tasks like washing hands, mopping floors, and taking out trash. While the initial demo videos appear impressive and are notably shown at normal speed (unlike many sped-up robot demos), the company reveals the actions are performed via human teleoperation, not autonomous AI. Tau Robotics, founded in 2024, argues this "cheat" is a strategic way to bridge the current capability gap, ensure task completion, and collect real-world home data to eventually train autonomous systems. Their service features three robot models: Chelsea for kitchens/bathrooms, Elon for regular tidying with memory, and Tony for deep cleaning. Priced at $30 per hour, it's cheaper than average human cleaners in the US. The article discusses the broader challenge of deploying humanoid robots in homes, comparing Tau's approach to others like China's Ziliang and the US's 1X Neo, which also use teleoperation. A key reason for choosing a humanoid form is to make remote control more intuitive for human operators. The piece also notes the potential "emotional value" of having a humanoid servant. The service is currently invite-only in San Francisco.

marsbit11 хв тому

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

marsbit11 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit55 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit55 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit59 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit59 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit59 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit59 хв тому

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.

cointelegraph1 год тому

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

cointelegraph1 год тому

Торгівля

Спот
活动图片