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BTC $63,966.69 +0.82%
ETH $1,677.98 +0.70%
BNB $607.04 +0.26%
XRP $1.13 +1.33%
SOL $67.81 +1.68%
TRX $0.3166 +1.51%
DOGE $0.0880 +1.38%
ADA $0.1732 +1.12%
BCH $208.16 +1.78%
LINK $7.99 +1.40%
HYPE $59.08 -2.16%
AAVE $66.81 +3.39%
SUI $0.7679 +1.62%
XLM $0.1902 -1.17%
ZEC $415.78 -4.10%

skill

Chainalysis tracks the source of the THORChain attack: skilled in money laundering, the attack was carried out weeks after cross-chain fund movements

Chainalysis posted on the X platform that before the theft of THORChain, wallets suspected to be associated with the attacker had been transferring funds through Monero, Hyperliquid, and THORChain for several weeks. The attacker-associated wallets had already deposited into Hyperliquid positions via the Hyperliquid and Monero privacy bridge as early as the end of April. The funds were then exchanged for USDC and transferred to Arbitrum, and later bridged to Ethereum, with some ETH subsequently transferred to THORChain to become staked RUNE for newly added nodes, which are believed to be the source of the attack.Afterward, the attacker bridged some RUNE back to Ethereum and split it into four pathways, one of which went directly to the attacker. After being transferred through intermediate wallets, 8 ETH was sent to the final wallet receiving the stolen funds 43 minutes before the attack. The funds from the other three pathways flowed in the opposite direction. These wallets bridged ETH back to Arbitrum, deposited it into Hyperliquid, and transferred it into Monero through the same privacy bridge, with the last transaction occurring less than 5 hours before the attack began.As of Friday afternoon, the stolen funds have not yet been used, but the attacker has demonstrated their skilled cross-chain money laundering capabilities, and the Hyperliquid to Monero path may become the next move.

Gate Skills Hub has been fully upgraded, with AI strategy scale exceeding 10,000+

Gate announces the completion of a comprehensive upgrade to Skills Hub, expanding the number of AI skills from 11 to over 10,000, creating the most comprehensive AI trading strategy market in the industry. The platform aggregates resources from multiple sources, including GitHub, and optimizes the supply structure through deduplication and quality screening mechanisms, covering core scenarios such as market analysis, arbitrage strategies, trade execution, and risk management.In terms of user experience, Skills Hub introduces an 8-category system and a tagged filtering mechanism, combined with multi-dimensional search and intelligent sorting capabilities, to help users quickly locate target strategies. At the same time, the platform offers a dual-mode installation path: ordinary users can generate commands with one click, allowing AI to automatically load and execute, while developers can deploy and conduct secondary development through standard methods.Additionally, Skills Hub supports the use of various capability combinations, covering the complete process from market analysis to trade execution, enhancing the practical application of AI in trading. As a core module of Gate for AI, this upgrade further improves its capability layer construction, promoting the development of AI trading from single-point functions to systematic applications.
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