• Introduction
  • Papers
    • SoK: Prudent Evaluation Practices for Fuzzing
    • FOX: Coverage-guided Fuzzing as Online Stochastic Control
    • On Understanding and Forecasting Fuzzers Performance with Static Analysis
    • autofz: Automated Fuzzer Composition at Runtime
    • Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing
    • DSFuzz: Detecting Deep State Bugs with Dependent State Exploration
    • Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation
    • Fuzz4All: Universal Fuzzing with Large Language Models
    • KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
    • Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing
    • Seed Selection for Successful Fuzzing
    • Balance Seed Scheduling via Monte Carlo Planning
    • Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis
    • Boosting Fuzzer Efficiency: An Information Theoretic Perspective
    • FuzzInMem: Fuzzing Programs via In-memory Structures
    • AFL++: Combining Incremental Steps of Fuzzing Research
    • Fuzzing with Data Dependency Information
    • Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing
    • Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing
    • LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
    • SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
    • Not All Coverage Measurements Are Equal: Fuzzing by Coverage Accounting for Input Prioritization
    • Accelerating Fuzzing through Prefix-Guided Execution
    • Extrapolating Coverage Rate in Greybox Fuzzing
    • Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
    • Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection?
    • AFGEN: Whole-Function Fuzzing for Applications and Libraries
    • Arbiter: Bridging the Static and Dynamic Divide in Vulnerability Discovery on Binary Programs
    • SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection With LLMs
    • Effective Vulnerable Function Identification based on CVE Description Empowered by Large Language Models
    • Unveiling the Characteristics and Impact of Security Patch Evolution
    • VulSim: Leveraging Similarity of Multi-Dimensional Neighbor Embeddings for Vulnerability Detection
    • Rare Path Guided Fuzzing
    • GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning
  • Linux
    • Rust Elementary I
    • Rust Elementary II
    • Rust Elementary III
    • Rust Elementary IV
    • Rust Elementary V
    • Rust Elementary VI
    • Docker Sources Switch
  • Fuzzing
    • AFLpp build for Magma
    • FuzzBench Build
    • Fuzzbench new Fuzzer
    • AFLpp Src Reading I - History
    • AFLpp Src Reading II - Forkserver
    • AFLpp Src Reading III - Instrumentation
    • AFL++ Add New Test
    • AFL++ Custom Mutator (python)
    • AFL-COV-FAST Tool Usage
  • Pwn
    • Glibc _IO_FILE Exploitation Introduction
  • Reverse
    • IDAPro Cheat Sheet 7.7
  • Theory
    • Practical Statistics
  • LLM
  • Latex
    • latex awesome table templates
  • Shell
    • shell programming basic
    • shell programming techs I
  • Published with GitBook

Fuzzing

Index of Fuzzing

  • AFLpp build for Magma
  • FuzzBench Build
  • Fuzzbench new Fuzzer
  • AFLpp Src Reading I - History
  • AFLpp Src Reading II - Forkserver
  • AFLpp Src Reading III - Instrumentation
  • AFL++ Add New Test
  • AFL++ Custom Mutator (python)
  • AFL-COV-FAST Tool Usage

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