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1️⃣ Answer the Quiz Question: What milestone are we celebrating on the profile today?
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A statement by Mist Founder Yu Xian (Cos) has revealed a major real-world challenge in anti-money laundering (AML) in the crypto industry. After tracking Bitget hackers’ money-laundering activities for hours, Cos found that cross-chain bridges such as Chainflip are not necessarily taking no interception action—but rather their AML/KYT response speed may already be too slow to keep up with the pace of hackers’ automated laundering.
How complex are hackers’ laundering paths? 🔴 Step 1: Automated splitting of funds Quickly break stolen assets into many smaller amounts, increasing the difficulty of tracing and identification. 🔴 Step 2: Multi-chain cross-bridge transfers Use different cross-chain bridges to distribute and move funds across multiple blockchains. Once a route is blocked by risk controls or funds are reverted, they immediately switch to another route. 🔴 Step 3: Convert to Bitcoin Continuously transfer assets via various on-chain channels, and ultimately convert the funds into BTC, further increasing the complexity of tracking. 🔴 Step 4: CoinJoin coin-mixing Use the CoinJoin transaction mixing mechanism to obscure links between funds, making subsequent tracing and identification harder.
⚠️ What’s truly worth关注 is not just how hackers launder money, but the speed gap between attack and defense. When hackers use automation programs to quickly split assets and switch cross-chain routes, risk identification, address tagging, and manual coordination-based risk control systems may fail to complete responses in time. This also means that simply blocking funds via a single cross-chain bridge is no longer enough to deal with highly automated, cross-chain coordinated laundering.
Security competition in the crypto industry is shifting from purely technical defenses to a comprehensive contest involving on-chain intelligence, real-time monitoring, automated risk control, and cross-platform collaboration. In the future, what deserves real attention is not only whether projects can recover funds after a hack, but also whether—during the critical window when funds are moving across chains—they can promptly identify risks and take action. #以太坊三季度涨70.9% $BTC
A statement by Mist Founder Yu Xian (Cos) has revealed a major real-world challenge in anti-money laundering (AML) in the crypto industry. After tracking Bitget hackers’ money-laundering activities for hours, Cos found that cross-chain bridges such as Chainflip are not necessarily taking no interception action—but rather their AML/KYT response speed may already be too slow to keep up with the pace of hackers’ automated laundering.
How complex are hackers’ laundering paths? 🔴 Step 1: Automated splitting of funds Quickly break stolen assets into many smaller amounts, increasing the difficulty of tracing and identification. 🔴 Step 2: Multi-chain cross-bridge transfers Use different cross-chain bridges to distribute and move funds across multiple blockchains. Once a route is blocked by risk controls or funds are reverted, they immediately switch to another route. 🔴 Step 3: Convert to Bitcoin Continuously transfer assets via various on-chain channels, and ultimately convert the funds into BTC, further increasing the complexity of tracking. 🔴 Step 4: CoinJoin coin-mixing Use the CoinJoin transaction mixing mechanism to obscure links between funds, making subsequent tracing and identification harder.
⚠️ What’s truly worth关注 is not just how hackers launder money, but the speed gap between attack and defense. When hackers use automation programs to quickly split assets and switch cross-chain routes, risk identification, address tagging, and manual coordination-based risk control systems may fail to complete responses in time. This also means that simply blocking funds via a single cross-chain bridge is no longer enough to deal with highly automated, cross-chain coordinated laundering.
Security competition in the crypto industry is shifting from purely technical defenses to a comprehensive contest involving on-chain intelligence, real-time monitoring, automated risk control, and cross-platform collaboration. In the future, what deserves real attention is not only whether projects can recover funds after a hack, but also whether—during the critical window when funds are moving across chains—they can promptly identify risks and take action. #以太坊三季度涨70.9% $BTC