The Efficacy of Fuzzing

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=BBw_odMWFOI

https://x.com/KrisRenzo • https://x.com/opensensepw • Security researcher Kris Renzo as he deep dives into the effectiveness of fuzzing in Web3 security. This comprehensive analysis explores how fuzzing techniques compare to traditional security testing methods, backed by extensive research and real-world data showing an 87% improvement over industry standards. • Google Sheet: • https://docs.google.com/spreadsheets/... • 00:00:00 Introduction to Kris Renzo • 00:02:00 Research Background Motivation • 00:02:00 Understanding Fuzzing Effectiveness • 00:07:30 Comprehensive Bug Classification • 00:11:00 Importance of Security Reports Analysis • 00:14:30 Bug Categorization Methodology • 00:17:32 High-Reward Vulnerabilities Analysis • 00:19:40 Research Methodology Key Definitions • 00:24:00 Data Collection Analysis Framework • 00:25:20 Achieving 87% Above Industry Standards • 00:26:30 Reconnaissance Techniques • 00:29:00 Environment Setup Configuration • 00:32:00 ROI: Manual vs Automated Hunting • 00:34:50 Leveraging Fuzzing for Optimal Results • 00:37:00 Top 10% Performance via Fuzzing • 00:39:00 Distinguishing Fuzzable vs Non-Fuzzable Vulnerabilities • 00:44:30 Understanding Checklist Bug Rewards (12% Analysis) • 00:46:00 Fuzzer Adaptation Based on Source Lines of Code (SLOC) • 00:52:30 Understanding Invariant Effectiveness • 00:53:30 Invariant Formulation Methodology Acknowledgments • 00:55:00 Core Concepts of Security Invariants • 00:57:30 Analyzing Invariant Quality Best Practices • 01:00:00 Code Intent Analysis Implementation • 01:01:30 Comparing Blackbox vs. Whitebox Invariant Approaches • 01:03:10 Hierarchical Invariant Analysis: Function to System Level • 01:05:30 State Machine Analysis Techniques • 01:06:50 Understanding Non-State Based System Invariants • 01:08:30 Critical Process Considerations • 01:12:00 State Lifecycle Analysis: Initial → Active → Final • 01:15:00 Advanced Invariant Development Strategies • 01:17:00 Implementing the Branching Tree Methodology • 01:20:00 Leveraging AI in Invariant Development • 01:22:30 Identifying Non-Fuzzable Codebases: Limitations Criteria • 01:30:37 Introduction to AUDIX Framework • Presentation: • https://docs.google.com/presentation/... • Audix Discord: • / discord • Research References • Solodit checklist: • https://solodit.xyz/checklist • Owen Thurms Auditing Brain: • https://guardianaudits.notion.site/Au... • Demystifying Exploitable Bugs in Smart Contracts: https://github.com/ZhangZhuoSJTU/Web3... • A list of public fuzzing campaigns: • https://github.com/perimetersec/publi... • Smart Contract as a state machine: • https://krisrenzo.substack.com/p/smar... • BTT: • https://x.com/PaulRBerg/status/168234... • BTT with AI • https://x.com/KrisRenzo/status/177660...

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