An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing
Fuente:
arXiv
Guardado en:
| Autores principales: | Wen, Tingke, Li, Yuwei, Zhang, Lu, Ma, Huimin, Pan, Zulie |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
por: Ou, Shiwen, et al.
Publicado: (2025)
por: Ou, Shiwen, et al.
Publicado: (2025)
DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts
por: Medeiros, Ismael, et al.
Publicado: (2024)
por: Medeiros, Ismael, et al.
Publicado: (2024)
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
por: Zhang, Gen, et al.
Publicado: (2024)
por: Zhang, Gen, et al.
Publicado: (2024)
Beyond Imprecise Distance Metrics: Trace-Guided Directed Greybox Fuzzing via LLM-Predicted Call Stacks
por: Zhang, Yifan, et al.
Publicado: (2025)
por: Zhang, Yifan, et al.
Publicado: (2025)
LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
por: Shou, Chaofan, et al.
Publicado: (2024)
por: Shou, Chaofan, et al.
Publicado: (2024)
AFLGopher: Accelerating Directed Fuzzing via Feasibility-Aware Guidance
por: Bai, Weiheng, et al.
Publicado: (2025)
por: Bai, Weiheng, et al.
Publicado: (2025)
PatchFuzz: Patch Fuzzing for JavaScript Engines
por: Wang, Junjie, et al.
Publicado: (2025)
por: Wang, Junjie, et al.
Publicado: (2025)
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
por: Weissberg, Felix, et al.
Publicado: (2025)
por: Weissberg, Felix, et al.
Publicado: (2025)
PrescientFuzz: A more effective exploration approach for grey-box fuzzing
por: Blackwell, Daniel, et al.
Publicado: (2024)
por: Blackwell, Daniel, et al.
Publicado: (2024)
Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
por: Lu, Mengdi, et al.
Publicado: (2025)
por: Lu, Mengdi, et al.
Publicado: (2025)
Following Dragons: Code Review-Guided Fuzzing
por: Luu, Viet Hoang, et al.
Publicado: (2026)
por: Luu, Viet Hoang, et al.
Publicado: (2026)
DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
por: Farrelly, Guy, et al.
Publicado: (2026)
por: Farrelly, Guy, et al.
Publicado: (2026)
PBFuzz: Agentic Directed Fuzzing for PoV Generation
por: Zeng, Haochen, et al.
Publicado: (2025)
por: Zeng, Haochen, et al.
Publicado: (2025)
BandFuzz: An ML-powered Collaborative Fuzzing Framework
por: Shi, Wenxuan, et al.
Publicado: (2025)
por: Shi, Wenxuan, et al.
Publicado: (2025)
An Empirical Study of Fuzz Harness Degradation
por: Görz, Philipp, et al.
Publicado: (2025)
por: Görz, Philipp, et al.
Publicado: (2025)
Prompt Fuzzing for Fuzz Driver Generation
por: Lyu, Yunlong, et al.
Publicado: (2023)
por: Lyu, Yunlong, et al.
Publicado: (2023)
SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code
por: Yang, Ziyi, et al.
Publicado: (2026)
por: Yang, Ziyi, et al.
Publicado: (2026)
INSTILLER: Towards Efficient and Realistic RTL Fuzzing
por: Zhang, Gen, et al.
Publicado: (2024)
por: Zhang, Gen, et al.
Publicado: (2024)
Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing
por: Loose, Nils, et al.
Publicado: (2026)
por: Loose, Nils, et al.
Publicado: (2026)
Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
por: Zhao, Yukai, et al.
Publicado: (2026)
por: Zhao, Yukai, et al.
Publicado: (2026)
FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
por: Lyu, Yunlong, et al.
Publicado: (2026)
por: Lyu, Yunlong, et al.
Publicado: (2026)
FuzzBox: Blending Fuzzing into Emulation for Binary-Only Embedded Targets
por: Cesarano, Carmine, et al.
Publicado: (2025)
por: Cesarano, Carmine, et al.
Publicado: (2025)
Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation
por: Tran, Chi Thien
Publicado: (2026)
por: Tran, Chi Thien
Publicado: (2026)
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
por: Gai, Keke, et al.
Publicado: (2025)
por: Gai, Keke, et al.
Publicado: (2025)
Locus: Agentic Predicate Synthesis for Directed Fuzzing
por: Zhu, Jie, et al.
Publicado: (2025)
por: Zhu, Jie, et al.
Publicado: (2025)
zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing
por: Fu, Rong, et al.
Publicado: (2026)
por: Fu, Rong, et al.
Publicado: (2026)
Is Stateful Fuzzing Really Challenging?
por: Daniele, Cristian
Publicado: (2024)
por: Daniele, Cristian
Publicado: (2024)
Agentic Fuzzing: Opportunities and Challenges
por: Park, Junyoung, et al.
Publicado: (2026)
por: Park, Junyoung, et al.
Publicado: (2026)
ROSA: Finding Backdoors with Fuzzing
por: Kokkonis, Dimitri, et al.
Publicado: (2025)
por: Kokkonis, Dimitri, et al.
Publicado: (2025)
FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing
por: Murali, Aniruddhan, et al.
Publicado: (2024)
por: Murali, Aniruddhan, et al.
Publicado: (2024)
Scheduzz: Constraint-based Fuzz Driver Generation with Dual Scheduling
por: Li, Yan, et al.
Publicado: (2025)
por: Li, Yan, et al.
Publicado: (2025)
Fixing Security Vulnerabilities with AI in OSS-Fuzz
por: Zhang, Yuntong, et al.
Publicado: (2024)
por: Zhang, Yuntong, et al.
Publicado: (2024)
Smart Contract Fuzzing Towards Profitable Vulnerabilities
por: Kong, Ziqiao, et al.
Publicado: (2025)
por: Kong, Ziqiao, et al.
Publicado: (2025)
SAND: Decoupling Sanitization from Fuzzing for Low Overhead
por: Kong, Ziqiao, et al.
Publicado: (2024)
por: Kong, Ziqiao, et al.
Publicado: (2024)
Automatic, Expressive, and Scalable Fuzzing with Stitching
por: Green, Harrison, et al.
Publicado: (2026)
por: Green, Harrison, et al.
Publicado: (2026)
Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
por: Shi, Wenxuan, et al.
Publicado: (2024)
por: Shi, Wenxuan, et al.
Publicado: (2024)
RandSet: Randomized Corpus Reduction for Fuzzing Seed Scheduling
por: Xie, Yuchong, et al.
Publicado: (2026)
por: Xie, Yuchong, et al.
Publicado: (2026)
CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
por: Xu, Hanxiang, et al.
Publicado: (2024)
por: Xu, Hanxiang, et al.
Publicado: (2024)
Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
por: Feng, Xiaotao, et al.
Publicado: (2025)
por: Feng, Xiaotao, et al.
Publicado: (2025)
HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines
por: Yang, Kang, et al.
Publicado: (2025)
por: Yang, Kang, et al.
Publicado: (2025)
Ejemplares similares
-
MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
por: Ou, Shiwen, et al.
Publicado: (2025) -
DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts
por: Medeiros, Ismael, et al.
Publicado: (2024) -
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
por: Zhang, Gen, et al.
Publicado: (2024) -
Beyond Imprecise Distance Metrics: Trace-Guided Directed Greybox Fuzzing via LLM-Predicted Call Stacks
por: Zhang, Yifan, et al.
Publicado: (2025) -
LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
por: Shou, Chaofan, et al.
Publicado: (2024)