LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Gai, Keke, Liang, Haochen, Yu, Jing, Zhu, Liehuang, Niyato, Dusit |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
by: Shou, Chaofan, et al.
Published: (2024)
by: Shou, Chaofan, et al.
Published: (2024)
Smart Contract Fuzzing Towards Profitable Vulnerabilities
by: Kong, Ziqiao, et al.
Published: (2025)
by: Kong, Ziqiao, et al.
Published: (2025)
Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025)
by: Chen, Jie, et al.
Published: (2025)
Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts
by: Kong, Ziqiao, et al.
Published: (2025)
by: Kong, Ziqiao, et al.
Published: (2025)
PBFuzz: Agentic Directed Fuzzing for PoV Generation
by: Zeng, Haochen, et al.
Published: (2025)
by: Zeng, Haochen, et al.
Published: (2025)
SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code
by: Yang, Ziyi, et al.
Published: (2026)
by: Yang, Ziyi, et al.
Published: (2026)
MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
by: Ou, Shiwen, et al.
Published: (2025)
by: Ou, Shiwen, et al.
Published: (2025)
DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts
by: Medeiros, Ismael, et al.
Published: (2024)
by: Medeiros, Ismael, et al.
Published: (2024)
Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
by: Shi, Wenxuan, et al.
Published: (2024)
by: Shi, Wenxuan, et al.
Published: (2024)
RandSet: Randomized Corpus Reduction for Fuzzing Seed Scheduling
by: Xie, Yuchong, et al.
Published: (2026)
by: Xie, Yuchong, et al.
Published: (2026)
Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing
by: Loose, Nils, et al.
Published: (2026)
by: Loose, Nils, et al.
Published: (2026)
BandFuzz: An ML-powered Collaborative Fuzzing Framework
by: Shi, Wenxuan, et al.
Published: (2025)
by: Shi, Wenxuan, et al.
Published: (2025)
ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts
by: Wang, Che, et al.
Published: (2024)
by: Wang, Che, et al.
Published: (2024)
FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, et al.
Published: (2026)
by: Lyu, Yunlong, et al.
Published: (2026)
Prompt Fuzzing for Fuzz Driver Generation
by: Lyu, Yunlong, et al.
Published: (2023)
by: Lyu, Yunlong, et al.
Published: (2023)
LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification
by: Wang, Yishun, et al.
Published: (2026)
by: Wang, Yishun, et al.
Published: (2026)
FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
by: Sheng, Ze, et al.
Published: (2026)
by: Sheng, Ze, et al.
Published: (2026)
SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection
by: Su, Jianzhong, et al.
Published: (2024)
by: Su, Jianzhong, et al.
Published: (2024)
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
by: Zhang, Gen, et al.
Published: (2024)
by: Zhang, Gen, et al.
Published: (2024)
Following Dragons: Code Review-Guided Fuzzing
by: Luu, Viet Hoang, et al.
Published: (2026)
by: Luu, Viet Hoang, et al.
Published: (2026)
Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation
by: Tran, Chi Thien
Published: (2026)
by: Tran, Chi Thien
Published: (2026)
SmartPoC: Generating Executable and Validated PoCs for Smart Contract Bug Reports
by: Chen, Longfei, et al.
Published: (2025)
by: Chen, Longfei, et al.
Published: (2025)
Quality-Assured Fuzz Harness Generation via the Four Principles Framework
by: Sheng, Ze, et al.
Published: (2026)
by: Sheng, Ze, et al.
Published: (2026)
CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
by: Xu, Hanxiang, et al.
Published: (2024)
by: Xu, Hanxiang, et al.
Published: (2024)
SmartIntentNN: Towards Smart Contract Intent Detection
by: Huang, Youwei, et al.
Published: (2022)
by: Huang, Youwei, et al.
Published: (2022)
BPMN to Smart Contract by Business Analyst
by: Liu, C. G., et al.
Published: (2025)
by: Liu, C. G., et al.
Published: (2025)
ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
by: Wu, Jiangrong, et al.
Published: (2026)
by: Wu, Jiangrong, et al.
Published: (2026)
Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
by: Lu, Mengdi, et al.
Published: (2025)
by: Lu, Mengdi, et al.
Published: (2025)
LLM-Assisted Model-Based Fuzzing of Protocol Implementations
by: Huang, Changze, et al.
Published: (2025)
by: Huang, Changze, et al.
Published: (2025)
TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum
by: Wang, Shuzheng, et al.
Published: (2025)
by: Wang, Shuzheng, et al.
Published: (2025)
SmartShift: A Secure and Efficient Approach to Smart Contract Migration
by: Hossain, Tahrim, et al.
Published: (2025)
by: Hossain, Tahrim, et al.
Published: (2025)
EvoPoC: Automated Exploit Synthesis for DeFi Smart Contracts via Hierarchical Knowledge Graphs
by: Liang, Ruichao, et al.
Published: (2026)
by: Liang, Ruichao, et al.
Published: (2026)
zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
PROMFUZZ: Leveraging LLM-Driven and Bug-Oriented Composite Analysis for Detecting Functional Bugs in Smart Contracts
by: Lin, Xingshuang, et al.
Published: (2025)
by: Lin, Xingshuang, et al.
Published: (2025)
An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing
by: Wen, Tingke, et al.
Published: (2024)
by: Wen, Tingke, et al.
Published: (2024)
PatchFuzz: Patch Fuzzing for JavaScript Engines
by: Wang, Junjie, et al.
Published: (2025)
by: Wang, Junjie, et al.
Published: (2025)
Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts
by: Zhang, Jiashuo, et al.
Published: (2024)
by: Zhang, Jiashuo, et al.
Published: (2024)
Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
by: Manh, Cuong Tran, et al.
Published: (2024)
by: Manh, Cuong Tran, et al.
Published: (2024)
On-Chain Analysis of Smart Contract Dependency Risks on Ethereum
by: Jin, Monica, et al.
Published: (2025)
by: Jin, Monica, et al.
Published: (2025)
ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts
by: Zhang, Lyuye, et al.
Published: (2024)
by: Zhang, Lyuye, et al.
Published: (2024)
Similar Items
-
LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
by: Shou, Chaofan, et al.
Published: (2024) -
Smart Contract Fuzzing Towards Profitable Vulnerabilities
by: Kong, Ziqiao, et al.
Published: (2025) -
Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025) -
Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts
by: Kong, Ziqiao, et al.
Published: (2025) -
PBFuzz: Agentic Directed Fuzzing for PoV Generation
by: Zeng, Haochen, et al.
Published: (2025)