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New Research Highlights Cross-Chain Sandwich Attack Risks and LLM Trading Limitations
12/07/2025, 08:06
AI SUMMARY
●New academic paper details 'Sandwich Attack' vulnerabilities in cross-chain swaps
●Study on LLMs indicates limited edge in real-world trading execution
●Research underscores technical challenges in DeFi security and AI application
New academic research shared by researcher mamedai highlights emerging technical risks and limitations in the DeFi and AI sectors. A paper titled 'The Walls Have Ears' details vulnerabilities in cross-chain swaps, specifically how observers can execute sandwich attacks to exploit users.
Additionally, a study named 'LiveTradeBench' suggests that Large Language Models (LLMs) currently struggle to generate consistent alpha in real-world trading environments. These publications provide critical insights into the evolving security landscape of cross-chain infrastructure and the practical efficacy of AI in trading.