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most citedStateGuard: Detecting State Derailment Defects in Decentralized Exchange Smart Contract

5 citations · 9 across the 33 of their papers we have counts for

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24 papers · 1 filter

cs.CR2026

Mitigating Error Propagation in Chain-of-Thought: A Tree-of-Thought Framework for Smart Contract Repair

Jingping Zhu, Hongping Wang, Xiaoqi Li

Smart contracts power blockchain applications such as DeFi and NFTs. However, once deployed, they cannot be modified. Even minor bugs can result in significant financial losses. Cu…

cs.CR2026

From Viral to Void: Multi-Dimensional Behavioral and Contractual Analysis for Rug Pull Identification

Jinyin Song, Hongping Wang, Xiaoqi Li

As the blockchain and decentralized finance (DeFi) ecosystems continue to expand and mature, rug pull scams involving meme coins are occurring with increasing frequency, posing a t…

cs.CR2026

NFTDELTA: Detecting Permission Control Vulnerabilities in NFT Contracts through Multi-View Learning

Hailu Kuang, Xiaoqi Li, Wenkai Li +1

Permission control vulnerabilities in Non-fungible token (NFT) contracts can result in significant financial losses, as attackers may exploit these weaknesses to gain unauthorized…

cs.CR2026

PSR2: A Phase-based Semantic Reasoning Framework for Atomicity Violation Detection via Contract Refinement

Xiaoqi Li, Xin Wang, Wenkai Li +1

With the rapid advancement of decentralized applications, smart contract security faces severe challenges, particularly regarding atomicity violations in complex logic such as Orac…

cs.CR2026

LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs

Zekai Liu, Xiaoqi Li, Wenkai Li +1

Traditional consensus mechanisms, such as Proof of Stake (PoS), increasingly reveal an excessive dependency on large liquidity providers. Although the Proof of Liquidity (PoL) mech…

cs.CR2026

Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents

Zongwei Li, Wenkai Li, Xiaoqi Li

OpenClaw-like agents offer substantial productivity benefits, yet they are insecure by default because they combine untrusted inputs, autonomous action, extensibility, and privileg…

cs.CR2026

No More Hidden Pitfalls? Exposing Smart Contract Bad Practices with LLM-Powered Hybrid Analysis

Xiaoqi Li, Zongwei Li, Wenkai Li +2

As the Ethereum platform continues to mature and gain widespread usage, it is crucial to maintain high standards of smart contract writing practices. While bad practices in smart c…

cs.CR2026

USCSA: Evolution-Aware Security Analysis for Proxy-Based Upgradeable Smart Contracts

Xiaoqi Li, Lei Xie, Wenkai Li +1

In the case of upgrading smart contracts on blockchain systems, it is essential to consider the continuity of upgrades and subsequent maintenance. In practice, upgrade operations o…

cs.CR2025

ScamSweeper: Detecting Illegal Accounts in Web3 Scams via Transactions Analysis

Xiaoqi Li, Wenkai Li, Zhijie Liu +6

The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by…

cs.CR2025

Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis

Xiaoqi Li, Wenkai Li, Zhiquan Liu +2

Decentralized finance (DeFi) protocols are crypto projects developed on the blockchain to manage digital assets. Attacks on DeFi have been frequent and have resulted in losses exce…

cs.CR2025

NATLM: Detecting Defects in NFT Smart Contracts Leveraging LLM

Yuanzheng Niu, Xiaoqi Li, Wenkai Li

Security issues are becoming increasingly significant with the rapid evolution of Non-fungible Tokens (NFTs). As NFTs are traded as digital assets, they have emerged as prime targe…

cs.CR2025★ 1 cited

MultiCFV: Detecting Control Flow Vulnerabilities in Smart Contracts Leveraging Multimodal Deep Learning

Hongli Peng, Xiaoqi Li, Wenkai Li

The introduction of smart contract functionality marks the advent of the blockchain 2.0 era, enabling blockchain technology to support digital currency transactions and complex dis…

cs.CR2025

UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis

Dechao Kong, Xiaoqi Li, Wenkai Li

The increasing number of attacks on the contract layer of DApps has resulted in economic losses amounting to $66 billion. Vulnerabilities arise when contracts interact with externa…

cs.CR2025

Mining Characteristics of Vulnerable Smart Contracts Across Lifecycle Stages

Hongli Peng, Xiaoqi Li, Wenkai Li

Smart contracts are the cornerstone of decentralized applications and financial protocols, which extend the application of digital currency transactions. The applications and finan…

cs.CR2025

Malicious Code Detection in Smart Contracts via Opcode Vectorization

Huanhuan Zou, Zongwei Li, Xiaoqi Li

With the booming development of blockchain technology, smart contracts have been widely used in finance, supply chain, Internet of things and other fields in recent years. However,…

cs.CR2025

Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM

Jiuyang Bu, Wenkai Li, Zongwei Li +2

Decentralized applications (DApps) face significant security risks due to vulnerabilities in smart contracts, with traditional detection methods struggling to address emerging and…

cs.CR2025★ 1 cited

SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode

Jiuyang Bu, Wenkai Li, Zongwei Li +2

Smart contracts deployed on blockchain platforms are vulnerable to various security vulnerabilities. However, only a small number of Ethereum contracts have released their source c…

cs.CR2024

Detecting Malicious Accounts in Web3 through Transaction Graph

Wenkai Li, Zhijie Liu, Xiaoqi Li +1

The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by…

cs.CR2024

Interaction-Aware Vulnerability Detection in Smart Contract Bytecodes

Wenkai Li, Xiaoqi Li, Yingjie Mao +1

The detection of vulnerabilities in smart contracts remains a significant challenge. While numerous tools are available for analyzing smart contracts in source code, only about 1.7…

cs.CR2024

GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum

Zekai Liu, Xiaoqi Li, Hongli Peng +1

The openness and transparency of Ethereum transaction data make it easy to be exploited by any entities, executing malicious attacks. The sandwich attack manipulates the Automated…

cs.CR2024★ 1 cited

Smart Contracts in the Real World: A Statistical Exploration of External Data Dependencies

Yishun Wang, Xiaoqi Li, Shipeng Ye +2

Smart contracts with external data are crucial for functionality but pose security and reliability concerns. Statistical and quantitative studies on this interaction are scarce. To…

cs.CR2024

DeFiTail: DeFi Protocol Inspection through Cross-Contract Execution Analysis

Wenkai Li, Xiaoqi Li, Yuqing Zhang +1

Decentralized finance (DeFi) protocols are crypto projects developed on the blockchain to manage digital assets. Attacks on DeFi have been frequent and have resulted in losses exce…

cs.CR2024

Characterizing the Solana NFT Ecosystem

Dechao Kong, Xiaoqi Li, Wenkai Li

Non-Fungible Tokens (NFTs) are digital assets recorded on the blockchain, providing cryptographic proof of ownership over digital or physical items. Although Solana has only begun…

cs.CR2024

Unveiling Wash Trading in Popular NFT Markets

Yuanzheng Niu, Xiaoqi Li, Hongli Peng +1

As emerging digital assets, NFTs are susceptible to anomalous trading behaviors due to the lack of stringent regulatory mechanisms, potentially causing economic losses. In this pap…