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Flash

Analysis: Suspected North Korean hackers transferred approximately 1.46 million USD through the cross-chain bridge between Jupiter Lend and Circle, with Jupiter stating that the source of the funds has not been cut off

On-chain analyst @FabianoSolana posted that suspected North Korean hackers transferred approximately $1.46 million through the Jupiter Lend and Circle cross-chain bridge. According to his analysis, the funds were initially transferred from a Solana wallet address marked by the FBI (starting with AffzFD), then dispersed to about 35 temporary addresses via intermediary wallets before being re-aggregated and deposited into Jupiter Lend. A few minutes later, a similar amount was withdrawn by another new wallet.Subsequently, the funds were exchanged for USDC and transferred out of Solana through the Circle cross-chain bridge, returning to a new address on the Solana network via Noble and dYdX. The related funds were transferred out in approximately 16 transactions totaling about $1.4634 million, and then returned in 19 transactions, with a difference of about $10 between the amounts transferred out and returned. According to the analyst, the related funds have not been frozen.In response, Jupiter's Chief Operating Officer Kash Dhanda stated that based on the current investigation results, the attackers only performed deposit and withdrawal operations through Jupiter Lend, which is different from the previous Aave incident where stolen stablecoins were borrowed and could not freeze the assets. The flow of related funds can still be fully tracked through LP tokens, and the relationship of the funds has not been severed, so it cannot be concluded that the attackers used Jupiter Lend to launder the source of the funds. The Jupiter security team has been monitoring the flow of related funds in real-time. As of the time of publication, Circle has not publicly responded to the reasons for the aforementioned fund transfer and why they have not been frozen.

Binance disclosed the process of 6.3 billion dollars being stolen: hackers lurked for 4 months and breached 3 computers

The cryptocurrency exchange platform Binance released a preliminary investigation report on a security incident, disclosing the attack process in which approximately $6.3 billion in assets were stolen. The report states that an engineer, referred to as Little A, from the wallet operations team, searched for and installed an AI programming tool in June 2026, downloading a tampered Homebrew installation package from the search results. After the security team discovered the anomaly, they replaced the relevant equipment, but Little A still exposed the wallet infrastructure permissions.The report indicates that the attacker continued to lurk thereafter. In September, the attacker contacted a software engineer, referred to as Little B, through a recruitment platform, posing as a project director, and conducted video interviews and social media interviews, sending a code repository as an assignment. Little B downloaded the repository to their work computer and set it up according to the instructions. One file of 3,414 bytes bypassed terminal security protections and used internal AI tools to find traces related to Little A.The report states that on October 30, the attacker logged into another employee, referred to as Little C's, computer and transferred $6.3 billion. Binance stated that approximately $6.34 billion in assets were affected, with about $2.85 billion frozen or intercepted, and the losses covered by the SAFU fund and company funds. As of October 31, 98% of the affected tokens have been replenished.

Anthropic applies zero-knowledge proof technology to AI reasoning to prevent model swapping

Anthropic has open-sourced FlashProve, bringing the commonly used zkSNARK (zero-knowledge proof) technology from the cryptocurrency field into AI model inference.This technology was originally designed to prove the validity of blockchain transactions without disclosing transaction details. Anthropic aims to use it to solve another problem: when users pay a high price for an AI model's API, how can they know if the service provider has secretly switched to a cheaper model?FlashProve allows service providers to first generate encrypted fingerprints for the model weights and then provide mathematical proof for the inference results. Users do not need to obtain the model weights or rerun the model; they can check whether the specified output comes from the previously committed set of weights. Claude was also involved in the development and optimization of this system.Anthropic has already completed experiments on Meta's 400 billion parameter model Llama 4 Maverick. For every 1024 tokens of context processed, the generated proof is about 19 MB, and verification on a regular CPU takes about 17 seconds.However, currently, each proof can only verify one output token and cannot validate an entire response. The GPU computation time required to generate the proof is also about 70 to 95 times that of regular inference. Whether it can be used to identify API service providers that secretly switch models in the future will depend on when the cost of proof generation can be reduced.

Aztec launched the Tierra V6 network upgrade, fixing security vulnerabilities and doubling the speed of privacy transaction proofs

According to The Block, the Aztec Foundation behind the Ethereum privacy Layer 2 network Aztec has launched the Tierra (Alpha V6) upgrade, which fixes security vulnerabilities from previous versions, including a critical vulnerability in V5, and introduces an AI-based security testing system.In terms of performance, the new version doubles the speed of generating privacy transaction proofs, taking only about 1 second on local devices; the time for Ethereum messages to reach Aztec has also been reduced from an average of about 2 minutes to as fast as 12 seconds, further enhancing cross-chain deposit and transaction efficiency. Aztec stated that due to the network's decentralized architecture, fixing critical vulnerabilities requires an upgrade of the entire network, and plans are currently underway to accelerate the deployment of future security updates.In terms of ecosystem, Aztec has recently relaunched the self-custody privacy wallet zk.money, and several applications are being launched or prepared for launch, including Galactica, which supports privacy AI inference, the privacy perpetual contract trading platform Nemi, the privacy browser wallet Nulo, and Xochi and Nyx, which support privacy payments and transactions. Meanwhile, Aztec has also released a new brand image and website, aiming to become the infrastructure platform for privacy applications.

Zhao Changpeng: It is expected that the bull market will drive more capital inflow, and retail investors are advised to actively learn about asset security protection

Binance founder Changpeng Zhao stated in an interview, "Typically, after an attack event, some users do choose to withdraw their funds. Some large institutions are required by internal policies to withdraw funds, and some retail investors may follow suit.However, after withdrawing, users face another question: where is it safer to store their money? I personally have not suffered any financial losses on Binance because Binance has absorbed the losses caused by this incident. This event is indeed frightening, but the question is, where can I transfer my funds? Recently, several hardware wallets have also been attacked, including one supply chain attack and another involving the mnemonic phrase generation process. This means that even if users make no operational mistakes and strictly follow all security protocols, purchasing hardware wallets and generating mnemonic phrases, they could still lose all their funds five years later without any fault, and no institution will bear the losses.The first wave of impact has already occurred, and Binance has also been attacked and completed repairs. Next, the second wave of impact may affect smaller platforms, which may not necessarily be more secure. Therefore, some users may initially choose to withdraw, but later realize that they need to manage their mnemonic phrases and store their assets themselves. In fact, less than 10% of the funds flowed to other centralized trading platforms, which means that most of the funds may have been transferred to users' own self-custody wallets. However, using self-custody wallets is not without risks. Users must properly back up their mnemonic phrases and ensure they do not get lost or damaged.In fact, most losses suffered by users when self-custodying assets are not even caused by hacker attacks. Therefore, after weighing their options, users may reconsider depositing their funds back into trading platforms. In fact, within less than 24 hours, we have already seen a change in fund flows. I also saw a tweet earlier showing that the fund flow statistics for the platform have turned into a net inflow on an hourly basis, which actually reflects the strength of the platform and users' trust in it. I believe that in the coming weeks and even months, fund flows will continue to fluctuate. As we mentioned before, if the market re-enters a bull market, we will see more funds flowing in.I believe there are many aspects that need attention. First, the speed of technological development is very fast, especially AI, which is growing at an astonishing rate, and the trend of exponential growth even exceeds people's understanding. Secondly, I believe that the entire cryptocurrency industry is still under-invested in the security field. Frankly speaking, many AI security tools are not yet truly applied in the industry.Therefore, I encourage all practitioners to increase their investment in these areas, including increasing the number of security engineers, introducing more AI tools, and closely collaborating with AI security service providers. I believe these are crucial. For ordinary users, what we call retail investors, I suggest everyone actively learn about different security tools, understand how to protect their assets, and closely follow industry trends and relevant news. Especially at this current stage, all of this is very important."
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