ASAN Fuzzing Pipeline for Node.js Native Code
Automated coverage-guided fuzzing pipeline for native bindings
Overview
I engineered a reproducible fuzzing pipeline to systematically stress native addon interfaces. The workflow utilized AddressSanitizer (ASAN) to monitor execution and track coverage metrics. I designed specialized harnesses that generated targeted inputs to explore complex state transitions. The system automated the triage process by isolating unique execution paths and generating reproducible test cases. This approach established a robust framework for continuous validation, ensuring that the method could reliably surface edge cases without manual intervention. The resulting infrastructure provided a scalable template for integrating dynamic analysis into the development lifecycle.
Highlights
- 01
Coverage-guided fuzzing harnesses for native interfaces
- 02
Automated triage workflow with reproducible test cases
- 03
Continuous validation pipeline for dynamic analysis
System Architecture
Coverage-guided fuzzing loop with ASAN crash detection and automated minimization
Questions people ask
- How did you ensure the reliability of native Node.js bindings?
- I built a coverage-guided fuzzing pipeline with AddressSanitizer to systematically stress interfaces and detect memory errors.
- What tools did you use for dynamic analysis?
- I utilized libFuzzer, LLVM, and AddressSanitizer to monitor execution and track coverage metrics during testing.
- Did the pipeline automate the bug reporting process?
- Yes, it automated triage by isolating unique execution paths and generating reproducible test cases for edge cases.