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Computer Science
Cybersecurity
Fuzzing
1. Introduction to Fuzzing
2. Core Concepts and Architecture
3. Types of Fuzzers
4. Input Generation and Mutation Strategies
5. Target Monitoring and Instrumentation
6. The Fuzzing Process
7. Crash Triage and Analysis
8. Advanced Fuzzing Techniques
9. Fuzzing in the Software Development Lifecycle
10. Common Vulnerabilities Discovered by Fuzzing
11. Common Fuzzing Tools and Frameworks
12. Fuzzing Best Practices
13. Challenges and Limitations
14. Future Directions and Research
Crash Triage and Analysis
Crash Uniqueness
Hashing Call Stacks
Stack Trace Analysis
Uniqueness Metrics
Grouping by Crash Location
Source Code Mapping
Aggregating Similar Crashes
Crash Bucketing
Automated Classification
Priority Assignment
Minimizing a Crashing Test Case
Automated Test Case Reduction
Delta Debugging
Minimization Tools
Manual Reduction Techniques
Binary Search Approach
Structural Minimization
Root Cause Analysis
Debugging with GDB
Setting Breakpoints
Analyzing Memory State
Debugging with WinDbg
Windows-Specific Analysis
Crash Dump Analysis
Debugging with LLDB
LLVM Debugger Features
Cross-Platform Debugging
Analyzing Core Dumps
Post-Mortem Analysis
Extracting Crash Information
Determining Security Impact
Exploitability Scoring
Assessing Attack Potential
Scoring Systems
Differentiating Bugs from Vulnerabilities
Security vs. Stability Issues
Prioritization
Impact Assessment
Confidentiality Impact
Integrity Impact
Availability Impact
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6. The Fuzzing Process
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8. Advanced Fuzzing Techniques