Cover Image

Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ozdag, Mesut
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Based Vulnerability Analysis of NFT Smart Contracts
by: Wang, Xin, et al.
Published: (2025)

Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
by: Zhang, Xing, et al.
Published: (2026)

Mining Characteristics of Vulnerable Smart Contracts Across Lifecycle Stages
by: Peng, Hongli, et al.
Published: (2025)

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities
by: Xiao, ZeKe, et al.
Published: (2025)

SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
by: Zaazaa, Oualid, et al.
Published: (2024)

Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection
by: Yu, Jeffy
Published: (2024)

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
by: Sun, Yuqiang, et al.
Published: (2023)

Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
by: Zhou, Ying, et al.
Published: (2026)

ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
by: Huang, Tenghui, et al.
Published: (2025)

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
by: Kong, Ziqiao, et al.
Published: (2026)

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)

A Comprehensive Study of Exploitable Patterns in Smart Contracts: From Vulnerability to Defense
by: Ding, Yuchen, et al.
Published: (2025)

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
by: Gasmi, Tarek, et al.
Published: (2025)

SmartLLM: Smart Contract Auditing using Custom Generative AI
by: Kevin, Jun, et al.
Published: (2025)

AI Agent Smart Contract Exploit Generation
by: Gervais, Arthur, et al.
Published: (2025)

Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation
by: Yu, Lei, et al.
Published: (2024)

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)

BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
by: Lee, Uisang, et al.
Published: (2025)

A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities
by: Zibaeirad, Arastoo, et al.
Published: (2024)

Towards Sustainable IoT: Challenges, Solutions, and Future Directions for Device Longevity
by: Shirvani, Ghazaleh, et al.
Published: (2024)

Adaptive Plan-Execute Framework for Smart Contract Security Auditing
by: Wei, Zhiyuan, et al.
Published: (2025)

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation
by: Gao, Bo, et al.
Published: (2025)

Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions
by: Susan, Stefan-Claudiu, et al.
Published: (2026)

Large Language Model based Smart Contract Auditing with LLMBugScanner
by: Yuan, Yining, et al.
Published: (2025)

Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
by: Van Woensel, William, et al.
Published: (2024)

SC-Bench: A Large-Scale Dataset for Smart Contract Auditing
by: Xia, Shihao, et al.
Published: (2024)

A Systematic Review of Security Vulnerabilities in Smart Home Devices and Mitigation Techniques
by: Alzaylaee, Mohammed K.
Published: (2025)

Quantifying Security Vulnerabilities: A Metric-Driven Security Analysis of Gaps in Current AI Standards
by: Madhavan, Keerthana, et al.
Published: (2025)

Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm
by: Marino, Bill, et al.
Published: (2025)

A Survey on Vulnerability Prioritization: Taxonomy, Metrics, and Research Challenges
by: Jiang, Yuning, et al.
Published: (2025)

CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
by: Wang, Lingxiang, et al.
Published: (2025)

Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
by: Karanjai, Rabimba, et al.
Published: (2025)

Privacy Challenges and Solutions in Retrieval-Augmented Generation-Enhanced LLMs for Healthcare Chatbots: A Review of Applications, Risks, and Future Directions
by: Guan, Shaowei, et al.
Published: (2025)

Prompt to Pwn: Automated Exploit Generation for Smart Contracts
by: Xiao, ZeKe, et al.
Published: (2025)

EVMbench: Evaluating AI Agents on Smart Contract Security
by: Wang, Justin, et al.
Published: (2026)

VisualDAN: Exposing Vulnerabilities in VLMs with Visual-Driven DAN Commands
by: Liu, Aofan, et al.
Published: (2025)

FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs
by: Wei, Zhiyuan, et al.
Published: (2024)

Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards
by: Hammadia, Taha, et al.
Published: (2026)

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
by: Qin, Kaihua, et al.
Published: (2026)

PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts
by: Andersson, Vivi, et al.
Published: (2025)