Fuzzing Rule Evaluation

Statistical analysis evaluating a stopping rule proposed by earlier study for fuzzing campaigns.

Security TestingStatistical AnalysisResearch ValidationAFL++

Scale & Scope

48 Hours
Campaign Duration
4 Targets
Real-world Programs
7 Estimators
Statistical Models
480K+
Basic Blocks

The Problem

Fuzzing is a powerful way to find software bugs, but security teams often let these tests run endlessly without knowing when they have already caught most issues. This project tackles this by evaluating a stopping rule proposed by earlier study.

Skills Demonstrated

Research & Analysis

  • • Experimental design and replication
  • • Statistical hypothesis testing
  • • Critical evaluation of existing methods

Technical Implementation

  • • Automated testing frameworks (AFL++)
  • • Data collection and analysis
  • • Security testing methodology