Cover Image

HF-DGF: Hybrid Feedback Guided Directed Grey-box Fuzzing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lyu, Guangfa, Cao, Zhenzhong, Ren, Xiaofei, Wang, Fengyu
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation
by: Xu, Yijiang, et al.
Published: (2024)

An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing
by: Wen, Tingke, et al.
Published: (2024)

Tumbling Down the Rabbit Hole: How do Assisting Exploration Strategies Facilitate Grey-box Fuzzing?
by: Wu, Mingyuan, et al.
Published: (2024)

DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts
by: Medeiros, Ismael, et al.
Published: (2024)

Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community
by: Yu, Jiazhao, et al.
Published: (2025)

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

Towards Large Language Model Guided Kernel Direct Fuzzing
by: Li, Xie, et al.
Published: (2025)

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

WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing
by: Rooijakkers, Thomas, et al.
Published: (2025)

GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback
by: Yan, Wenqi, et al.
Published: (2025)

Failure-Guided Fuzzing for Hybrid Quantum-Classical Programs
by: Zhang, Lei
Published: (2026)

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

Fuzz Smarter, Not Harder: Towards Greener Fuzzing with GreenAFL
by: Ercevik, Ayse Irmak, et al.
Published: (2025)

Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing
by: Liang, Ruichao, et al.
Published: (2024)

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

S$^2$F: Principled Hybrid Testing With Fuzzing, Symbolic Execution, and Sampling
by: Wang, Lianjing, et al.
Published: (2026)

May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
by: Yang, Shaoyu, et al.
Published: (2025)

Learning-Guided Fuzzing for Testing Stateful SDN Controllers
by: Ollando, Raphaël, et al.
Published: (2024)

FLARE: Agentic Coverage-Guided Fuzzing for LLM-Based Multi-Agent Systems
by: Hui, Mingxuan, et al.
Published: (2026)

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

DeepGo: Predictive Directed Greybox Fuzzing
by: Lin, Peihong, et al.
Published: (2025)

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

Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library
by: Duan, Bin, et al.
Published: (2025)

AFLNet Five Years Later: On Coverage-Guided Protocol Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

PrescientFuzz: A more effective exploration approach for grey-box fuzzing
by: Blackwell, Daniel, et al.
Published: (2024)

MicroFuzz: An Efficient Fuzzing Framework for Microservices
by: Di, Peng, et al.
Published: (2024)

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

SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems
by: Yang, Huiwen, et al.
Published: (2024)

TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code
by: Li, Siyuan, et al.
Published: (2024)

Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
by: Feng, Xiaotao, et al.
Published: (2025)

NeuroSCA: Neuro-Symbolic Constraint Abstraction for Smart Contract Hybrid Fuzzing
by: Liang, Haochen, et al.
Published: (2026)

Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
by: Qin, Feiran, et al.
Published: (2025)

Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)

Large Language Model assisted Hybrid Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

Following Dragons: Code Review-Guided Fuzzing
by: Luu, Viet Hoang, et al.
Published: (2026)

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

Human in the Loop for Fuzz Testing: Literature Review and the Road Ahead
by: Yu, Jiongchi, et al.
Published: (2026)

PBFuzz: Agentic Directed Fuzzing for PoV Generation
by: Zeng, Haochen, et al.
Published: (2025)

Program Environment Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer
by: Dias, Tiago, et al.
Published: (2024)