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最新推荐文章于 2025-01-11 19:16:37 发布

原创最新推荐文章于 2025-01-11 19:16:37 发布 · 755 阅读

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本文汇总了近年来在模糊测试领域的研究成果，包括高效模糊测试、文件系统模糊测试、智能输入类型探测、内核竞争漏洞检测等。通过介绍如NEUZZ、ProFuzzer、Razzer等工具，展示了模糊测试在软件安全性提升方面的重要作用。

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NEUZZ: Efficient Fuzzing with Neural Program Smoothing 🆗 PDF
Fuzzing File Systems via Two-Dimensional Input Space Exploration 🆗PDF
ProFuzzer: On-the-fly Input Type Probing for Better Zero-day Vulnerability Discovery 🆗PDF
Razzer: Finding Kernel Race Bugs through Fuzzing 🆗PDF
Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing 🆗PDF
MoonShine: Optimizing OS Fuzzer Seed Selection with Trace Distillation🆗PDF
QSYM : A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing🆗PDF
REDQUEEN: Fuzzing with Input-to-State Correspondence🆗PDF 🔗
PeriScope: An Effective Probing and Fuzzing Framework for the Hardware-OS Boundary🆗PDF 🔗
Life after Speech Recognition: Fuzzing Semantic Misinterpretation for Voice Assistant Applications🆗PDF
Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing🆗PDF
CodeAlchemist: Semantics-Aware Code Generation to Find Vulnerabilities in JavaScript Engines🆗PDF 🔗
DifFuzz: Differential Fuzzing for Side-Channel Analysis🆗PDF 🔗
REST-ler: Stateful REST API Fuzzing🆗PDF
SLF: Fuzzing without Valid Seed Inputs🆗PDF
Superion: Grammar-Aware Greybox Fuzzing🆗PDF
Parser-Directed Fuzzing🆗PDF
MEMFUZZ: Using Memory Accesses to Guide Fuzzing🆗PDF

T-Fuzz: fuzzing by program transformation 🆗PDF
中文解读：http://www.pianshen.com/article/6742712144/
Angora: Efficient Fuzzing by Principled Search 🆗PDF
CollAFL: Path Sensitive Fuzzing 🆗PDF
Evaluating fuzz testing🆗PDF
Hawkeye Towards a Desired Directed Grey-box Fuzzer🆗PDF
IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing🆗PDF
What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded Devices🆗PDF
Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing🆗PDF
Singularity: Pattern Fuzzing for Worst Case Complexity🆗PDF
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection🆗PDF
FairFuzz: A Targeted Mutation Strategy for Increasing Greybox Fuzz Testing Coverage🆗PDF
TIFF: Using Input Type Inference To Improve Fuzzing🆗PDF