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Researchers claim that purchasing 6TB of relay station data can breach 19 companies including Huawei and Xiaomi

Security researcher Shou Chaofan stated that he just purchased about 6TB of Fable model invocation data from a leading Chinese model relay station, which included sensitive credentials such as SSH keys, VPN configurations, Alibaba Cloud keys, and GitLab tokens. He claimed that the keys in this batch of data were sufficient for him to access the servers or internal systems of 19 leading Chinese companies, as well as 7 Chinese and CIS government-related agencies, including Huawei, Xiaomi, NIO, and MiniMax.The model relay station is positioned between users and models like Claude, so requests and responses pass through it first, allowing it to see the complete plaintext. Once developers insert SSH Keys, API Keys, VPN configurations, etc., into the Agent context, if the relay station saves or even sells these records, the company's system keys will also leak out. This is not the first time Shou Chaofan has warned about the risks of relay stations. A paper he participated in tested 428 LLM relay stations in April and found that 9 actively injected malicious code, 17 actually used AWS test keys deliberately placed by researchers to call AWS, and 1 directly transferred ETH from the test wallet.Shou Chaofan is a co-founder of the blockchain security company Fuzzland and has long been engaged in vulnerability and supply chain security research. At the end of March, he also first discovered that the source map in the Claude Code 2.1.88 release package accidentally exposed about 500,000 lines of TypeScript source code.

Researchers disclose Solana PoH clock attack vulnerability: Transition risks remain unresolved before Alpenglow upgrade

According to CryptoSlate, researchers from USENIX Security have publicly disclosed a clock attack vulnerability targeting Solana's Proof of History (PoH) mechanism, which was privately reported to the Solana development team back in December 2025. The research shows that a malicious scheduler leader can manipulate the PoH logical clock by "re-anchoring," slowing down the advancement of logical time, thus gaining a longer transaction selection window in physical time, and isolating honest leader blocks using the TowerBFT fork choice mechanism, with the required staking ratio for the attacker being less than 33%.The Alpenglow security competition with a reward of 50,000 SOL under Anza concluded on August 19, but the vulnerability was excluded from the review scope due to the competition rules that state "actions that can only be triggered when Alpenglow is not activated." The Solana development team stated that they are aware of the related behavior, believe that the probability of the most severe scenario occurring under current conditions is low, and expect that the Alpenglow upgrade will fundamentally eliminate the prerequisites for the attack. Currently, the Alpenglow code has been included in the Agave 4.2 client but has not yet been activated on the mainnet, and is expected to go live with Agave 4.3. Until then, the transitional risk of this vulnerability has not been publicly analyzed or addressed at the implementation level.

153 stolen addresses contain 132.95 BTC, and researchers are still unable to reproduce the Coldcard attacker's seed

According to monitoring by Bitcoin News, new research published by @PraveenPerera shows that Coldcard attackers seem to first identify addresses with vulnerabilities, then sort them by the amount of Bitcoin held, starting to transfer in batches from the addresses with the highest holdings. The transfer software used was relatively crude.One address had 225 spendable UTXOs, and the attackers extracted exactly the latest 200, leaving the earliest 25, which included a UTXO worth 0.16 BTC. This aligns perfectly with the limitation of a blockchain API investigated by researchers, which defaults to returning 200 records, indicating that the attackers may have failed to load the next page of data. The software even spent a UTXO of 294 satoshis, reportedly increasing the transaction fee by about 2040 satoshis, with the spent amount significantly higher than the value of the UTXO itself.The authors of the study believe that the builders of this tool may have a better understanding of the account balance system than of the Bitcoin UTXO model. Although the attackers seem to have obtained the complete seed of the victims, at least 75 BTC still remain in other addresses derived from the same seed. The biggest suspicion currently is that among the 153 stolen addresses, there are still 132.95 BTC, and researchers have been unable to reproduce the seed behind these addresses, so it cannot be ruled out that the attackers obtained undisclosed private device data or candidate data.

Researchers at the Chinese People's Public Security University have developed an AI algorithm to track Bitcoin money laundering, achieving an overall accuracy rate of about 90%

Researchers at the Chinese People's Public Security University have developed an AI framework capable of detecting illegal cryptocurrency transactions with an overall accuracy rate close to 90%. The study was published in the Chinese peer-reviewed journal "Journal of Intelligence," and the corresponding author, Dr. Sun Jingchao (specializing in criminal investigation and cybersecurity), noted that the research "provides an accurate, scalable, and interpretable solution for detecting illegal cryptocurrency transactions," and offers "an innovative technical path" for regulatory agencies to combat illegal cryptocurrency transactions and economic crimes.This AI framework utilizes memory modules and large language models, specifically targeting the anonymity and cross-border characteristics of cryptocurrencies to track illegal activities such as money laundering. The release of this research coincides with China's ongoing efforts to intensify the crackdown on financial crimes related to cryptocurrencies. In March of this year, the Supreme People's Procuratorate of China disclosed that by 2025, procuratorial authorities had prosecuted 3,259 individuals for money laundering crimes involving virtual currencies and underground banks.As the trading volume of cryptocurrencies rapidly increases, their anonymity and cross-border characteristics provide a channel for illegal fund flows. This police-developed AI detection tool marks a shift in regulatory technology from passive tracking to proactive intelligent identification.

first_img ARK Invest researchers commented on OpenUSD: Essentially similar to early DAOs, competitor alliances face multiple obstacles

ARK Invest Research Director Lorenzo Valente commented on the OpenUSD stablecoin project launched by several institutions. He stated that, despite the strong capabilities of the participants (including Visa, Stripe, Mastercard, BlackRock, Coinbase, etc.), OpenUSD faces multiple significant obstacles:First, there are liquidity and cold start issues; USDC and USDT have already formed strong network effects, dominating exchanges, payment processors, and brokers, making it difficult for the new stablecoin to gain trading pairs and large-scale holding willingness;Second, the decision-making speed of the alliance composed of 500 competitors will be extremely slow, lacking successful precedents, and conflicts of interest will be hard to coordinate;Third, the regulatory and antitrust risks are extremely high; the joint issuance of currency by large banks and card networks is likely to become a regulatory focus;Fourth, the revenue-sharing model results in issuers retaining too little capital, making it difficult to cover high operational and promotional expenses;Fifth, the actual commitments from partners are limited, mostly consisting of letters of intent (LOI), and parties are still supporting competitors, preferring multiple hedges rather than exclusive binding.Valente concluded that OpenUSD is essentially similar to "a DAO of multiple competitors," making it difficult to execute and make decisions quickly, and it may ultimately repeat the governance failures of early DAO projects, which could not be effectively implemented.Affected by the OpenUSD plan, Circle's stock fell over 17% in a single day, and ARK Invest took the opportunity to buy in.

The auditing platform Code4rena has announced its shutdown, and Immunefi will absorb its bug bounty clients and researchers

According to official news, the smart contract auditing platform Code4rena has announced that it will gradually cease operations, and the Web3 security company Immunefi will take over its clients and security researchers. Code4rena posted on social media that it has made the decision to shut down and stated that all ongoing competitions and bounty activities will be completed as usual, and existing collaborations will be "properly concluded." Immunefi stated that it will assist in migrating Code4rena's bounty projects, reward structures, and researchers to its platform.Code4rena is known for its "competitive auditing" model, where independent researchers compete to find vulnerabilities in smart contracts for rewards. This shutdown comes less than two years after blockchain security company Zellic acquired Code4rena in 2024. Previously, Code4rena raised $6 million from Paradigm in 2023 for auditing incentives and platform expansion.This shutdown comes at a difficult time for DeFi protocols and the security sector. Data from DefiLlama shows that there were over 20 crypto vulnerability incidents in April alone, setting a monthly record. JPMorgan analysts believe that ongoing DeFi security incidents are limiting major institutional investors from entering the market. Meanwhile, the total value locked in DeFi has decreased from about $160 billion in October to approximately $83 billion currently.
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