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North Korean crypto attacks rising in sophistication, actors — Paradigm
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North Korean cyberwarfare attacks on the cryptocurrency industry are growing in sophistication and in the number of groups involved in such criminal activity, crypto firm Paradigm warns in report titled “Demystifying the North Korean Threat.”
North Korea-originated cyberattacks range from assaults on exchanges and social engineering attempts to phishing attacks and complex supply chain hijacks, the report says. In some cases, the attacks take a year to play out, with North Korean operatives biding their time.
The United Nations estimates that between 2017 and 2023, North Korean hackers have netted the country $3 billion. The total haul has skyrocketed in 2024 and this year, with successful attacks against crypto exchanges WazirX and Bybit, which together netted attackers around $1.7 billion.
Paradigm writes that the North Korean organizations orchestrating these attacks number at least five: Lazarus Group, Spinout, AppleJeus, Dangerous Password, and TraitorTrader. There is also a coalition of North Korean operatives who pose as IT workers, infiltrating tech companies around the world.
Related: Typosquatting in crypto, explained: How hackers exploit small mistakes
High-profile attacks and predictable laundering methods
Lazarus Group, the most well-known North Korean hacking team, is given credit for some of the most high-profile cyberattacks since 2016. According to Paradigm, the group hacked Sony and the Bank of Bangladesh in 2016 and helped orchestrate the WannaCry 2.0 ransomware attack in 2017.
It has also taken aim at the cryptocurrency industry, sometimes to great effect. In 2017, the group hit two crypto exchanges — Youbit and Bithumb. In 2022, Lazarus Group exploited the Ronin Bridge, resulting in hundreds of millions in lost assets. And in 2025, it infamously stole $1.5 billion from Bybit, sending shock throughout the crypto community. The group may be behind some Solana memecoin scams.
As Chainalysis and other organizations have explained, Lazarus Group also has predictable money laundering methods after securing a haul. It breaks up the stolen amount into smaller and smaller pieces, sending them to countless other wallets. It then swaps the more illiquid coins for those with higher liquidity and converts much of it to Bitcoin (BTC). After that, the group may sit on the stolen money for a long period of time until the attention from law enforcement dies down. The FBI has so far identified three alleged members of the Lazarus Group, accusing them of cybercrimes. In February 2021, the US Justice Department indicted two of those members for involvement in global cybercrimes. Magazine: Lazarus Group’s favorite exploit revealed — Crypto hacks analysis Crypto Trader Says Dogecoin Is at a Critical ‘Make-or-Break’ Level, Updates Outlook on Solana and Avalanche Bitcoin Covenants: CHECKSIGFROMSTACK (BIP 348) Illinois State Senator’s Bill Seeks to Claw Back $163 Million Lost to Crypto Fraud Here’s why Bitcoin, altcoins, and the stock market continued falling on Friday Bitcoin Falls Back to $83K, XRP, SOL, DOGE Surrender Gains as China Announces 34% Tariffs on All U.S. Goods BTC Holds $84K, ATOM & FIL Become Top Gainers Published on By Opinion by: Merav Ozair, PhD Tech moguls cannot stop heralding the artificial intelligence revolution — from Bill Gates to Sundar Pichai to Jensen Huang — signaling that agentic AI and robotics will claim our jobs and act as our autonomous assistants performing on our behalf in our professional and personal lives. Whether these scenarios happen in a few years or are decades away, we will most likely evolve into that future in some manner, and technology, once again, will reshape our lives. Without the support of blockchain technology, however, it would be quite difficult, and potentially impossible, for agentic AI and robotics to evolve to what its proponents expect them to. If we expect these services and devices to act autonomously, security, privacy, transparency and accountability will be at the top of our minds. These areas are where blockchain shines and can support AI weaknesses to facilitate the scaling and evolution of this vision. Blockchain technology can significantly bolster the security of AI models by leveraging its key features such as decentralization, immutability, traceability, smart contracts, data privacy and identity verification. For example, but not limited to: The decentralization aspect eliminates a single point of attack, increasing the resilience of AI models against breaches. The immutability of blockchain ensures that the data used in training AI models and the models themselves cannot be illicitly altered, maintaining the integrity of the models. Every alteration or decision made by the AI model can be audibly traced through blockchain, providing unparalleled transparency and accountability. Smart contracts automate the enforcement of data access and usage rules, preventing unauthorized or unethical use of AI models. Smart contracts can ensure that data is only used for training and testing and by authorized personnel, locking the option to be used for other purposes. Combining these rules with multiparty computation could prevent or at least mitigate AI adversarial attacks. Blockchain allows secure multiparty computation, ensuring data privacy during AI model training by keeping the data decentralized. Blockchain’s secure identity verification enhances the safety of AI systems by preventing unauthorized access. Integrating AI with blockchain can establish a secure, transparent, traceable and decentralized AI environment, protecting our privacy, enhancing accountability and manifesting responsible AI. AI agents and robotics are programmable. Smart contacts, the driver of digital assets, are programmable. It makes perfect sense that digital assets would be the preferred payment rail for agent-to-human and agent-to-agent, which includes robotics. Crypto is an internet-native, programmable money with several advantages for powering the agent-based economy. As AI agents become more autonomous and engage in micro-transactions at scale, crypto’s efficiency, borderless nature and programmability will make it the preferred medium of exchange over traditional fiat rails. Recent: Sentient open-source AI search outperforms GPT-4o and Perplexity The true intersection of Web3 and agentic AI for financial transactions could emerge through new tokens and protocols tailored for this use case. These could extend stablecoin capabilities by integrating agent-specific functionalities. In this scenario, payments could be made using a specialized asset that agents can stake for quality control. Slashing policies could penalize poor performance, while validators could resolve disputes based on task quality. Additionally, agents’ reputations could be directly tied to their token stakes. Incorporating rules via smart contracts enables users to have control over their autonomous workers/assistants, enabling a shutdown or even a “kill switch,” if necessary, when AI agents start behaving dangerously. If Goldman Sachs wants to create AI agents that think and act like a seasoned employee in a highly regulated industry and with imperative risk to financial systems and at the extreme financial markets’ stability, it would be vital, not optional, to have these AI agents controlled by programmable tokens. While this approach requires advancements in both Web3 and agentic AI, it is not as distant as it may seem. Blockchain development firm Skyfire recently launched a payment platform that allows AI agents to spend money autonomously. Helmed by former Ripple vice president of products and services Amir Sarhangi, the company’s platform enables a business to give a pre-loaded wallet to an AI agent. The company’s protocol converts the cash into USDC (USDC). In early March, Skyfire brought its payments network that enables AI agents to make autonomous transactions out of beta. Using digital assets for robotics, VR devices and agentic AI transactions goes beyond a mode of payment for transactions. It could enhance user experience and security and enable endless business models that have never existed. It would be interesting to see how it all plays out and whether other companies will follow. There are risk issues to be addressed, however, and we should be mindful of how they are, at the very least, mitigated. This is where we should carefully consider the security measures discussed previously. There is a lot of focus on the evolution of AI — generative AI, agentic AI, reasoning models, physical world models and more — all focusing on the premise that AI is the sole technology that we need to achieve AI autonomous agents at scale. This is quite a tunnel vision approach to how products are built, and it is somewhat myopic: not understanding what needs to be accomplished beyond AI models’ advancement for the ecosystem to evolve and scale. AI, advanced as it can be, cannot stand on its own and needs the support of blockchain technology — a programmable match made in heaven. Therefore, we must act in a multifaceted approach. We should think about and treat AI and Web3 together in terms of innovation, regulation and infrastructure. This is fundamental to the bedrock of a successful agentic economy. “Dreams are built with solid foundations,” and the time to build them is now. Opinion by: Merav Ozair, PhD. This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice. The views, thoughts, and opinions expressed here are the author’s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph. Published on By Between Oct. 25, 2024, and Jan. 16, 2025, XRP (XRP) had one of the best rallies of the current bull market, gaining 600% as investors piled in with the hope that a pro-crypto presidency would benefit Ripple and its cryptocurrency. During this time, the quarterly average of daily active addresses jumped by 490% and XRP price hit a 7-year high. XRP’s 1-day chart. Source: Cointelegraph/TradingView Fast forward to the present, and data shows that the speculative interest surrounding XRP is declining. Holders are increasingly facing losses rather than gains, which is dampening their risk appetite. Since bottoming in 2022, Bitcoin (BTC) and XRP have gained 500% to 600%, but the bulk of XRP’s gains came from a parabolic price increase. Data from Glassnode shows that XRP daily active addresses jumped by 490%, whereas the same metric for Bitcoin increased by 10% over the past four months. XRP’s new investor realized the cap. Source: Glassnode This retail-driven surge pushed XRP’s realized cap from $30.1 billion to $64.2 billion, with $30 billion of that inflow coming from investors in the last six months. The share of XRP’s realized cap held by new investors (less than six months) jumped from 23% to 62.8%, signaling a rapid wealth shift. However, since late February 2025, capital inflows have dipped significantly. XRP realized profit/loss ratio. Source: Glassnode The primary reason is that investors are currently locking in fewer profits and staring at higher losses. This can be identified by the realized loss/profit ratio, which has constantly declined since 2025. Glassnode analysts said, “Given the retail-dominated inflows and largely concentrated wealth in relatively new hands, this alludes to a condition where retail investor confidence in XRP may be slipping, and this may also be extended across the broader market.” Besides weakening confidence among newer investors, the distribution of XRP among whale addresses reflects a similar trend. Data shows a steady increase in whale outflows since the start of 2025, suggesting that large holders have been consistently trimming their positions. Over the past 14 days, over $1 billion in positions were offloaded at an average price of $2.10. Whale flow 30-day moving average. Source: CryptoQuant Related: How many US dollars does XRP transfer per day? XRP has found support at $2 multiple times over the past few weeks, but the chance of the altcoin dropping below this level increases with each retest. XRP 4-hour chart. Source: Cointelegraph/TradingView However, on the lower time frame (LTF) of the 1-hour and 4-hour charts, a bullish divergence can be observed for XRP. A bullish divergence occurs when the price forms a lower low and the relative strength index (RSI) forms a lower high. With a fair value gap between $2.08 and $2.13, XRP might see a relief rally into this range, especially if the wider crypto market undergoes an oversold bounce. On the higher time frame chart, XRP appears bearish due to the formation of an inverse head-and-shoulders pattern, with a measured target near $1.07. There is a chance that the altcoin finds support from the 200-day moving average (orange line) around the $1.70 to $1.80 mark, but XRP price has not tested this level since Nov. 5, 2024. XRP 1-day chart. Source: Cointelegraph/TradingView Related: Bitcoin drops 8%, US markets shed $2T in value — Should traders expect an oversold bounce? This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision. Published on By Bitcoin (BTC) hit new monthly lows at the April 3 Wall Street open as US unemployment data added to pressure on risk assets. BTC/USD 4-hour chart. Source: Cointelegraph/TradingView Data from Cointelegraph Markets Pro and TradingView confirmed the first trip below $82,000 for BTC/USD since the start of the month. After initially surging as high as $88,580 as the US government unveiled reciprocal trade tariffs, Bitcoin soon ran out of steam as the reality of the stronger-than-expected measures hit home. US stocks then followed, with the S&P 500 down over 4% on the day at the time of writing. “Today’s -3.7% drop puts the S&P 500 on track for its largest daily decline since the 2020 pandemic lockdowns,” trading resource The Kobeissi Letter wrote in part of a reaction on X. “Since the after hours high at 4:25 PM ET yesterday, the S&P 500 has erased nearly $3 TRILLION in market cap.” S&P 500 1-hour chart. Source: Cointelegraph/TradingView Thereafter, US initial jobless claims came in below estimates, at 219,000 versus the anticipated 228,000, per data from the US Department of Labor (DoL). “The previous week’s level was revised up by 1,000 from 224,000 to 225,000. The 4-week moving average was 223,000, a decrease of 1,250 from the previous week’s revised average. The previous week’s average was revised up by 250 from 224,000 to 224,250,” an official press release stated. Stronger labor market trends are traditionally associated with weaker risk-asset performance as they imply that policymakers can keep financial conditions tighter for longer. Data from CME Group’s FedWatch Tool nonetheless continued to see markets favor an interest-rate cut from the Federal Reserve at the June meeting of the Federal Open Market Committee (FOMC). Fed target rate probabilities (screenshot). Source: CME Group “As recession odds rise, markets think that the Fed will be forced to cut rates as soon as next month,” Kobeissi added. BTC price action predictably continued to disappoint on short timeframes as $80,000 support became uncomfortably close. Related: Bitcoin price risks drop to $71K as Trump tariffs hurt US business outlook “Stair step up then elevator down,” popular trader Roman summarized in part of his latest X analysis. Market commentator Byzantine General flagged short positions increasing across major crypto pairs, concluding that tariffs would ensure that lackluster conditions would continue. “I could see a stop hunt below the local lows before a pump to squeeze shorts, then probably more chop that slopes downward,” he told X followers. “I do think that with the tariff responses that are most likely coming upside will be limited.” Bitcoin and Ethereum market data. Source: Byzantine General/X Onchain analytics firm Glassnode had more bad news. According to their data, Bitcoin printed a new “death cross” involving the convergence of two midterm moving averages (MAs). “An onchain analogue to the Death Cross has emerged. The 30-day volume-weighted price of $BTC has crossed below the 180-day, signaling weakening momentum,” an X post announced. “Historically, this pattern preceded 3–6 months of bearish trends.” Bitcoin realized price “death cross” impact data. Source: Glassnode/X Earlier this week, Glassnode observed that speculative sell-offs in recent months have fallen considerably short of volumes traditionally associated with blow-off BTC price tops. This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision. Arthur Hayes, Murad’s Prediction For Meme Coins, AI & DeFi Coins For 2025 Expert Sees Bitcoin Dipping To $50K While Bullish Signs Persist Aptos Leverages Chainlink To Enhance Scalability and Data Access Bitcoin Could Rally to $80,000 on the Eve of US Elections Sonic Now ‘Golden Standard’ of Layer-2s After Scaling Transactions to 16,000+ per Second, Says Andre Cronje Institutional Investors Go All In on Crypto as 57% Plan to Boost Allocations as Bull Run Heats Up, Sygnum Survey Reveals Crypto’s Big Trump Gamble Is Risky Ripple-SEC Case Ends, But These 3 Rivals Could Jump 500x
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