arXiv:2606.03128v1 Announce Type: cross Abstract: Smart contracts face critical security challenges that require thorough auditing in decentralized web services. While Large Language Models (LLMs) have shown promise in automated vulnerability detection, existing approaches lack severity evaluations with actionable remediation and demand unnecessarily massive computational overhead. In this study, we introduce an efficient end-to-end smart contract security audit framework utilizing lightweight, highly optimized open-source LLMs (0.6B-4B parameters). Our framework decouples comprehensive audit
The proliferation of smart contracts and growing security concerns is driving demand for efficient, scalable auditing solutions, coinciding with advancements in lightweight LLMs.
This development could significantly enhance the security and trustworthiness of decentralized web services, reducing financial risks and increasing adoption by making smart contract audits more accessible and efficient.
Smart contract auditing will become more automated, cost-effective, and less computationally intensive, potentially broadening access to security analysis beyond highly specialized and expensive human auditors.
- · Decentralized web services platforms
- · Smart contract developers
- · LLM developers (open-source lightweight models)
- · Blockchain security firms
- · Traditional manual smart contract audit firms (if they don't adapt)
- · Attackers/hackers targeting smart contracts
Automated security audits for smart contracts become significantly more efficient and accessible.
Increased confidence in smart contract security leads to higher adoption of decentralized finance and web3 applications.
The reduced barrier to auditing could spur more rapid innovation and deployment of complex decentralized applications, transforming financial and data infrastructure.
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Read at arXiv cs.CL