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BTC $68,630.63 -1.83%
ETH $2,095.77 -2.40%
BNB $604.28 -0.19%
XRP $1.31 -2.41%
SOL $80.02 -2.52%
TRX $0.3138 -0.73%
DOGE $0.0918 -0.24%
ADA $0.2436 -3.55%
BCH $434.36 -0.84%
LINK $8.65 -4.02%
HYPE $36.54 -1.55%
AAVE $87.55 -8.37%
SUI $0.8755 -2.29%
XLM $0.1555 -1.99%
ZEC $269.33 +5.03%

blocksec

BlockSec, in collaboration with Bitget, releases an annual report analyzing the new paradigm of Web3 trading and security in the AI era

BlockSec, in collaboration with Bitget, has released a research report titled "AI × Trading × Security: The Evolution of Risks in the Era of Intelligent Trading 3.0." The report systematically analyzes how AI capabilities evolve and their integration with Web3, exploring how AI reshapes trading efficiency and decision-making logic in Web3. It further discusses the evolutionary trends of offensive and defensive patterns in Web3 during the AI era and the new paradigms of security. Additionally, the report outlines the application directions and real challenges of AI in the Web3 security system from the perspectives of risk control, anti-money laundering, and risk identification.In the specific case analysis, the report takes Bitget's GetAgent as an example, pointing out that it leans more towards a general trading information and advisory tool. GetAgent is not a traditional conversational bot but rather a "second brain" for traders in complex liquidity environments. Its core logic lies in the deep integration of AI algorithms and real-time multidimensional data, creating a complete closed loop that connects data, strategies, and trade execution to assist users in making more effective decisions in high-frequency, multi-variable market environments.The report concludes by stating that the deep integration of Web3 and AI has become an important trend in industry development, while security, risk control, and compliance capabilities are the key foundations for sustaining this trend. The report emphasizes the need for different institutions within the industry to collaborate in advancing technology, governance, and security standards to jointly promote the healthy and sustainable development of the intelligent trading era.

Security Agency: The Balancer attacker conducted an invariant attack on the BPT price calculation or is the main reason for the asset theft

The security agency BlockSec's on-chain tracking platform BlockSec Phalcon posted on platform X, stating, "Balancer and several of its fork projects were attacked a few hours ago, resulting in losses exceeding $120 million across multiple chains. This was an extremely complex attack.Preliminary analysis indicates that the root cause was the attacker's manipulation of the invariant calculation for BPT prices, distorting the BPT price calculation and allowing the attacker to profit from a single batch transaction from a specific stablecoin pool.Taking the attack transaction on Arbitrum as an example, the batch swap operation can be broken down into three stages: 1. The attacker exchanges BPT for the underlying asset to precisely adjust the balance of one token (cbETH) to bring it close to the rounding boundary (amount = 9). This creates conditions for precision loss in the next step; 2. The attacker then uses a pre-constructed amount (= 8) to swap between another underlying token (wstETH) and cbETH. Due to rounding down when scaling the token amount, the calculated Δx slightly decreases (8 0.918 to 8), resulting in an underestimated Δy, which causes the invariant (D) in Curve's StableSwap model to also decrease. Since BPT price = D / total supply, the BPT price is artificially suppressed; 3. The attacker then reverses the exchange of the underlying assets back to BPT, restoring balance while profiting from the drop in BPT price.
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