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first_img NEAR Intents released a post-mortem report, revealing that the $3.8 million vulnerability originated from a deposit notification flaw

The cross-chain exchange protocol NEAR Intents released a post-mortem report attributing a $3.8 million vulnerability to a flaw in the deposit notification feature. The protocol deploys a public settlement contract on NEAR that maintains an internal ledger of deposited tokens, while withdrawals transfer tokens out via a cross-chain bridge. The report was published by NEAR Intents General Manager Alex Shevchenko on October 16, stating that the attacker withdrew $3.8 million before the protocol was shut down on October 1 and returned all funds within 36 hours of detection, with all affected users fully compensated.The report indicates that the feature notifies third-party contracts when tokens are deposited. The attacker created a contract that intentionally caused the notification to fail, allowing the token contract to refund the deposit while NEAR Intents retained the corresponding ledger credit. Through 23 failed deposit transactions, the attacker accumulated $3.8 million in unsupported balance, referred to in the report as ghost funds, and subsequently withdrew real tokens based on this and transferred them to other chains via the Omni infrastructure. Shevchenko stated that this was a vulnerability in the NEAR Intents contract, not in the Omni infrastructure.Withdrawals occurred between September 29 and October 1. The settlement contract was paused and reopened on October 1, with affected routes gradually restored, and contract-side deposits resumed on October 2. The report noted that the vulnerability went undetected because monitoring only compared the original chain assets with the total balance of NEAR side tokens, without comparing the total internal user balances with the actual tokens held by the contract; the team has since added this check and will automatically pause the contract when there is a balance inconsistency. The fix for the October vulnerability was deployed on October 2, but another serious vulnerability report regarding the same feature prompted its complete removal on October 7, with the relevant researcher receiving a $300,000 reward.

first_img South Korea plans to tighten cybersecurity requirements for financial institutions, with 130 companies having security flaws

The Financial Services Commission (FSC) of South Korea stated that after investigating 16 companies (including cryptocurrency exchanges) involved in a previous security incident, it plans to implement stricter cybersecurity requirements for financial institutions. The agency noted that in an industry review covering 555 financial companies, 130 companies were found to have cybersecurity deficiencies, with approximately 100,000 pieces of customer information leaked, including names, contact details, and identification numbers.Affected companies include Streami, the operator of Gopax, and the cryptocurrency trading platform Prabang, which previously disclosed that a hacking incident on October 2 led to the leakage of some customers' personal information. The FSC indicated that it is still investigating whether these incidents involved the use of artificial intelligence or if they are related to the same group of attackers.According to the proposed reforms, larger financial institutions will undergo vulnerability assessments at least twice a year. The regulatory agency also plans to improve the information-sharing system and is considering using artificial intelligence for security monitoring of small businesses. Additionally, the FSC is considering allowing supplementary cybersecurity inspections outside of the regular assessment schedule in the event of an urgent threat to prevent similar incidents from occurring in the future.

IMF: The tokenized market is still small and fragmented, requiring clear laws and regulations

On October 8, the IMF published a blog based on Chapter 3 of the Global Financial Stability Report for October 2026, indicating that the tokenized market is growing rapidly but remains very small and highly fragmented. The average daily trading volume of tokenized repurchase agreements is about $300 billion to $350 billion, while other tokenized assets amount to about $65 billion, compared to an average daily volume of about $13 trillion in the U.S. repurchase market, and a total global capital market asset size of $300 trillion.The report points out that investors have shown interest in certain tokenized features, with more than half of the trades occurring outside traditional market hours, and about 80% of tokenized stock trades being less than 1 share. However, the tokenized market has lower liquidity and higher volatility than traditional markets, and cross-platform fragmentation weakens network effects. The IMF believes that legal certainty, regulatory clarity, interoperability, and secure settlement assets are four mutually reinforcing constraints.The report also warns that scaling up could amplify traditional financial risks such as sell-offs, liquidity squeezes, and contagion. Policymakers should adopt a technology-neutral approach, clarify the legal rights of tokenized assets, ensure consistent regulation for similar activities, support interoperability between tokenized platforms and the traditional financial system, and continuously monitor interconnectedness, leverage, and liquidity risks.

first_img Patent company Taction won the lawsuit, and Apple was ordered to pay 5.7 billion dollars

A federal jury in San Diego, USA, ruled on Friday that Apple must pay over $5.7 billion in damages for using patented technology from the haptic patent company Taction Technology, according to Caixin. This is the highest patent compensation amount in U.S. history. Taction sued Apple in 2021, claiming that its sales of devices infringing on touch technology improperly utilized related innovations; the case was dismissed in 2023 but was later reinstated by the Federal Circuit Court of Appeals.Apple issued a statement strongly opposing the verdict and the amount of damages, stating that the ruling lacks factual basis. Apple stated that its haptic engine is fundamentally different from Taction's technology, and tests conducted during the trial confirmed this, asserting that it did not use Taction's technology and would appeal. Taction's chief attorney, Lance Yang, thanked the jury and mentioned that the company waited five and a half years for the case to go to trial.The core of the lawsuit revolves around two vibration-based haptic sensor technologies designed to allow users to perceive the device's response to input. Taction claims that Apple’s haptic engine in the Apple Watch and iPhone used its inventions without authorization. Apple's haptic engine was launched in 2014 with the Apple Watch and was used in the iPhone 6s and iPhone 6s Plus the following year, replacing the older vibration motors. Since Apple insists on appealing, the amount of damages will need to be determined first by the presiding judge before entering the appeals process for final confirmation.

Caixin: Poker expert Hu Zheweng has suffered three consecutive losses in the cryptocurrency market and has filed a lawsuit against Jump Trading and Chinese professor Zhang Yongfeng

According to Caixin, poker master and seasoned cryptocurrency investor Hu Zheweng made significant bets during the three waves of cryptocurrency frenzy involving ICOs, algorithmic stablecoins, and AI tokens, but faced consecutive failures. Hu Zheweng claimed to have invested in the blockchain project Stratis, achieving a return of "over 1000 times."According to disclosed information, Hu Zheweng invested approximately 80 million USD in algorithmic stablecoin TerraUSD (UST) and its sister token LUNA from May 2021 to May 2022, with the peak market value of his holdings exceeding 800 million USD, but the price of LUNA subsequently nearly dropped to zero.In addition, Hu Zheweng has filed a lawsuit in Chicago, USA against the globally renowned quantitative trading firm Jump Trading and its related companies and executives in the cryptocurrency business, seeking at least 500 million USD in damages. After experiencing Stox and Terra, Hu Zheweng has not left the cryptocurrency market; last January, he bet on a new project by a Chinese computer professor Zhang Yongfeng. Zhang Yongfeng entered the Computer Science Department of Tsinghua University in 2007 and is currently a tenured associate professor in the Computer Science Department at Rutgers University in the USA. He has been sued by Hu Zheweng on multiple charges including "securities fraud." It is reported that the tokens issued by the organization founded by Zhang Yongfeng, in which Hu Zheweng invested millions of dollars, have fallen over 99.6% from their peak in 2025.

first_img OpenAI is facing a class-action lawsuit, accused of allowing outsourced personnel to read ChatGPT conversations

Two ChatGPT users from California filed a proposed class action lawsuit against OpenAI in the United States District Court for the Northern District of California this month, accusing the company of failing to adequately inform users that their real conversations were being handed over to external contractors for processing. The lawsuit was served to OpenAI on September 2, focusing on its internal initiative Project Lily. According to the complaint, "AI data reviewers" and "chatbot evaluators" recruited through a third-party staffing company read real ChatGPT prompts and complete conversations, summarize user intent, and score and comment on responses from four models on a scale of 1 to 7.This process is known in the industry as reinforcement learning from human feedback (RLHF), which is a fundamental method for enhancing chatbot capabilities. The complaint states that users were never explicitly informed that a person, rather than a machine, might be reading their conversations. OpenAI filters conversations through an automated system before human review, but the complaint alleges that the filters cannot intercept all content, and personal details sometimes still reach contractors. 404 Media first reported on the project on September 14 and found that the reviewers' dashboard included "user memory summaries," which could expose users' approximate locations, occupations, or private life information, even though usernames had been removed.OpenAI stated that such reviews aim to reduce two behaviors: chatbots behaving too much like humans and overly catering to users, referred to by researchers as "flattery." The complaint raises eight legal claims, including violations of California's Unfair Competition Law, Consumer Privacy Act, and common law claims for intrusion into private affairs, with the plaintiffs seeking damages, restitution of unjust enrichment, and punitive damages.
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