Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
arXiv:2603.26270v2 Announce Type: replace-cross Abstract: Smart contracts govern billions of dollars in decentralized finance (DeFi), yet automated vulnerability detection remains challenging because many vulnerabilities are tightly coupled with project-specific business logic. We observe that recurring vulnerabilities across diverse DeFi business models often share the same underlying economic mechanisms, which we term DeFi semantics, and that capturing these shared abstractions can enable more systematic auditing. Building on this insight, we propose Knowdit, a knowledge-driven, agentic work
The rapid growth of decentralized finance (DeFi) coupled with increasing smart contract exploits makes automated and intelligent vulnerability detection a critical and timely need.
Improving the security and reliability of smart contracts is essential for the continued growth and institutional adoption of DeFi, impacting billions in assets and future financial infrastructure.
The development of agentic, knowledge-driven tools moves beyond static code analysis to address complex, business-logic vulnerabilities, potentially reducing financial losses and increasing trust in DeFi.
- · DeFi platforms
- · Blockchain security firms
- · AI developers
- · Smart contract users
- · Hackers and exploiters
- · Manual auditing firms (potentially disintermediated)
Improved security reduces financial losses and increases user confidence in decentralized finance.
Greater trust drives increased capital allocation and institutional participation in DeFi, expanding its market size and influence.
Enhanced security frameworks could accelerate the integration of blockchain-based financial systems into mainstream global finance, challenging traditional intermediaries.
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Read at arXiv cs.AI