Cover Image

HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Kang, Zhang, Yunhang, Li, Zichuan, Tao, Guanhong, Xu, Jun, Liao, Xiaojing
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
by: Shi, Wenxuan, et al.
Published: (2024)

Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing
by: Loose, Nils, et al.
Published: (2026)

Quality-Assured Fuzz Harness Generation via the Four Principles Framework
by: Sheng, Ze, et al.
Published: (2026)

deepSURF: Detecting Memory Safety Vulnerabilities in Rust Through Fuzzing LLM-Augmented Harnesses
by: Androutsopoulos, Georgios, et al.
Published: (2025)

An Empirical Study of Fuzz Harness Degradation
by: Görz, Philipp, et al.
Published: (2025)

ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
by: Wu, Jiangrong, et al.
Published: (2026)

Harnessing the Power of LLM to Support Binary Taint Analysis
by: Liu, Puzhuo, et al.
Published: (2023)

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation
by: Yu, Jiongchi, et al.
Published: (2025)

Automatic, Expressive, and Scalable Fuzzing with Stitching
by: Green, Harrison, et al.
Published: (2026)

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, et al.
Published: (2026)

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
by: Deng, Gelei, et al.
Published: (2023)

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
by: Sheng, Ze, et al.
Published: (2026)

Rethinking the Evaluation of Secure Code Generation
by: Dai, Shih-Chieh, et al.
Published: (2025)

LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
by: Shou, Chaofan, et al.
Published: (2024)

MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
by: Ou, Shiwen, et al.
Published: (2025)

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
by: Xu, Hanxiang, et al.
Published: (2024)

SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code
by: Yang, Ziyi, et al.
Published: (2026)

Hunting CUDA Bugs at Scale with cuFuzz
by: ziad, Mohamed Tarek Ibn, et al.
Published: (2026)

Prompt Fuzzing for Fuzz Driver Generation
by: Lyu, Yunlong, et al.
Published: (2023)

LLM-Assisted Model-Based Fuzzing of Protocol Implementations
by: Huang, Changze, et al.
Published: (2025)

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
by: Zhang, Gen, et al.
Published: (2024)

Fuzzing Processing Pipelines for Zero-Knowledge Circuits
by: Hochrainer, Christoph, et al.
Published: (2024)

Execution-State-Aware LLM Reasoning for Automated Proof-of-Vulnerability Generation
by: Li, Haoyu, et al.
Published: (2026)

PatchFuzz: Patch Fuzzing for JavaScript Engines
by: Wang, Junjie, et al.
Published: (2025)

BandFuzz: An ML-powered Collaborative Fuzzing Framework
by: Shi, Wenxuan, et al.
Published: (2025)

FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing
by: Murali, Aniruddhan, et al.
Published: (2024)

FuzzBox: Blending Fuzzing into Emulation for Binary-Only Embedded Targets
by: Cesarano, Carmine, et al.
Published: (2025)

Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation
by: Tran, Chi Thien
Published: (2026)

Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing
by: Asmita, et al.
Published: (2024)

zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing
by: Fu, Rong, et al.
Published: (2026)

Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025)

Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
by: He, Ping, et al.
Published: (2025)

SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
by: Weissberg, Felix, et al.
Published: (2025)

LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
by: Gai, Keke, et al.
Published: (2025)

Smart Contract Fuzzing Towards Profitable Vulnerabilities
by: Kong, Ziqiao, et al.
Published: (2025)

Is Stateful Fuzzing Really Challenging?
by: Daniele, Cristian
Published: (2024)

Agentic Fuzzing: Opportunities and Challenges
by: Park, Junyoung, et al.
Published: (2026)

ROSA: Finding Backdoors with Fuzzing
by: Kokkonis, Dimitri, et al.
Published: (2025)

FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing
by: Chen, Yongxin, et al.
Published: (2026)

DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
by: Farrelly, Guy, et al.
Published: (2026)