#AiXBT遭黑客攻击 AiXBT Hacker Attack Incident Deep Review: The Life-and-Death Question of AI-Powered Trading Platforms

On March 18, 2025, AI cryptocurrency market commentator AiXBT was precisely targeted by the hacker organization "fungusman," resulting in 55.5 ETH (approximately $100,000) being transferred from a simulated wallet to a malicious address. The attack path showed that the hackers gained access to autonomous system dashboard permissions, used malicious replies to bypass the AI agent's security verification, and completed the on-chain asset transfer. Notably, this incident exposed three fatal flaws of AI-driven trading platforms:

On a technical level, the platform had a systemic failure in permission management—key accounts did not implement the principle of least privilege, and API keys centralized control over data reading and asset operations; the AI model's natural language processing module failed to recognize attacks involving synonym replacement and other grammatical transformations, revealing a lack of context awareness and multi-turn dialogue anomaly detection capabilities; even more seriously, the security isolation between the simulated environment and the production environment was almost non-existent, providing attackers with a lateral penetration channel.

Defense upgrades are urgently needed. The industry urgently needs to build a "dynamic permission sandbox," breaking down asset operation permissions into a multi-level approval chain and introducing blockchain-based behavioral fingerprint authentication. AI security protection should upgrade to a "dual-core architecture": surface deployment of reinforcement learning models for real-time monitoring of transaction sequences, and bottom layer utilizing zero-knowledge proof technology to ensure that operational legitimacy is verifiable and tamper-proof. In terms of smart contracts, the implementation of re-entrancy attack immunity modes and multi-signature governance structures must be enforced.

The trust crisis triggered by this incident has driven the reconstruction of industry rules: leading platforms are accelerating the integration of third-party audit committees and on-chain regulatory nodes, and some institutions are piloting "transaction insurance pool" mechanisms (such as smart contract insurance with an 80% payout rate). For investors, choosing platforms equipped with multi-party custody (MPC) and self-controllable TEE hardware may become a necessary threshold for future cryptocurrency asset allocation. As the threat of quantum computing approaches, trading platforms may welcome a comprehensive upgrade of anti-quantum encryption and AI self-evolving defense systems around 2026—this game of security and efficiency is reshaping the underlying logic of the cryptocurrency world.