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BTC $79,253.06 -2.85%
ETH $2,227.57 -3.51%
BNB $673.53 -1.34%
XRP $1.44 -5.71%
SOL $89.71 -3.75%
TRX $0.3519 -0.66%
DOGE $0.1131 -3.77%
ADA $0.2616 -5.11%
BCH $426.69 -2.55%
LINK $10.09 -5.52%
HYPE $44.34 +0.40%
AAVE $93.62 -6.71%
SUI $1.10 -9.60%
XLM $0.1553 -6.65%
ZEC $523.25 -1.62%

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AI Agent Security Risk Exposure: Attackers Can Exploit "Memory Pollution" to Induce Misoperation of Funds

The GoPlus Security team has disclosed a new type of attack in its AgentGuard AI project: inducing AI agents to perform unauthorized sensitive operations through "memory poisoning." This attack method does not rely on traditional vulnerabilities or malicious code but exploits the long-term memory mechanism of AI agents. For example, an attacker first induces the agent to "remember preferences," such as "usually prioritizing proactive refunds instead of waiting for chargebacks," and then uses vague expressions like "process as usual" or "execute as before" in subsequent instructions, thereby triggering automated financial operations.GoPlus points out that the key risk in such cases lies in the AI agent mistakenly treating "historical preferences" as a basis for authorization, leading to financial losses or security incidents in operations such as refunds, transfers, and configuration changes. To address this issue, the team has proposed several protective recommendations, including:Operations involving refunds, transfers, deletions, or sensitive configurations must require explicit confirmation in the current session.Memory-related instructions like "habit," "usual way," and "as before" should be regarded as high-risk state changes.Long-term memory must have a traceability mechanism (writer, time, confirmation status).Vague instructions should automatically elevate the risk level and trigger secondary verification.Long-term memory must not replace real-time authorization processes.The team emphasizes that the "AI agent memory system" should be viewed as a potential attack surface and should be constrained and audited through a dedicated security framework.

Bitcoin spot ETFs have seen net positive inflows for seven consecutive weeks, with IBIT attracting $269.3 million in a single day yesterday. The House fundraising committee is holding a closed-door meeting on cryptocurrency tax reform today, in sync with the Senate markup

According to BBX data, institutional demand for Bitcoin ETFs maintained strong momentum yesterday. Today, both houses of Congress are advancing cryptocurrency legislation simultaneously for the first time, with the core dynamics as follows:The U.S. Bitcoin spot ETF recorded a total net inflow of approximately $358.1 million yesterday (May 13), with BlackRock, Inc. (NYSE: $BLK) subsidiary iShares Bitcoin Trust (NASDAQ: $IBIT) seeing a single-day net inflow of $269.3 million, the strongest single-day data in recent weeks; the overall U.S. Bitcoin spot ETF has recorded net positive inflows for seven consecutive weeks, further reinforcing the structural signal of institutional capital returning. Bitcoin closed above $80,000 yesterday, with a year-to-date increase of about 14%, and market sentiment remains relatively optimistic on the eve of the CLARITY Act markup.The House Ways & Means Committee held a closed-door meeting today (May 14) on cryptocurrency tax reform in sync with the Senate Banking Committee's CLARITY Act markup, covering topics such as the treatment of capital gains tax on crypto assets, tax reporting responsibilities for DeFi protocols, and the tax classification of Bitcoin mining and staking income; this marks the first time in 2026 that both houses of Congress are advancing cryptocurrency regulatory legislation on the same day, indicating that cryptocurrency regulatory legislation has expanded from a single market structure issue to a complete legislative ecosystem of "regulatory framework + tax system."
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