How do I apply fuzz testing to C++ code in C++?

Fuzz testing, often referred to as fuzzing, is a software testing technique that involves providing invalid, unexpected, or random data as inputs to a program. The goal is to discover vulnerabilities and bugs that could cause the application to crash or behave unexpectedly. In C++, fuzz testing can be effectively applied by using various libraries and tools that generate random inputs to test your code.

Example of Fuzz Testing in C++

Here's a basic example of how you might implement fuzz testing for a simple function in C++. This example shows how to use a fuzzing framework to test a function that processes input strings.

#include #include #include // Function to be tested void processInput(const std::string &input) { if (input.empty()) { throw std::invalid_argument("Input cannot be empty"); } // Process the input std::cout << "Processing: " << input << std::endl; } // Fuzzer function void fuzzTest() { const std::string inputs[] = {"valid", "", " ", "random input", "another test"}; for (const auto& input : inputs) { try { processInput(input); } catch (const std::exception &e) { std::cout << "Exception caught: " << e.what() << std::endl; } } } int main() { fuzzTest(); return 0; }

fuzz testing C++ software testing vulnerability detection random inputs bug finding

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?