From the course: GitHub Copilot for Cybersecurity Specialists by Microsoft Press
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Create fuzz testing harnesses with Copilot for input validation - Github Copilot Tutorial
From the course: GitHub Copilot for Cybersecurity Specialists by Microsoft Press
Create fuzz testing harnesses with Copilot for input validation
Fuzz testing discovers vulnerabilities through millions of malformed inputs, testing what happens when users send garbage, attackers send exploits, and the universe sends edge cases your spec's never considered. Copilot generates the harness, your understanding of attack surface guides what to fuzz. Copilot generates complete fuzzing setups for industry standard frameworks, AFL++ for file format and protocol fuzzing, LibFuzzer for in-process C or C++ fuzzing. The generated code includes harness implementation, build configuration with sanitizers, initial seed corpus, and execution scripts. You provide the target functions and context. Copilot provides the framework integration. You need to prompt with specifics. For example, generate libFuzzerHarness for parseJSONRequest function with addressSanitizer, targeting inputs up to 10MB with 60 second timeout. Not all code benefits equally from fuzzing. API endpoints accepting user input are prime targets. File parsers handling untrusted…
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Learning objectives47s
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Generate AI-assisted security unit tests for critical functions5m 31s
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Create fuzz testing harnesses with Copilot for input validation4m 49s
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Automate DAST and SAST workflows for web and cloud applications5m 43s
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Build continuous security validation pipelines in CI/CD27m 55s
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