Integer overflow and underflow, signedness conversion, and other types of arithmetic errors in C/C++ programs are among the most common software flaws that result in exploitable vulnerabilities. Despite significant advances in automating the detection of arithmetic errors, existing tools have not seen widespread adoption mainly due to their increased number of false positives. Developers rely on wrap-around counters, bit shifts, and other language constructs for performance optimizations and code compactness, but those same constructs, along with incorrect assumptions and conditions of undefined behavior, are often the main cause of severe vulnerabilities. Accurate differentiation between legitimate and erroneous uses of arithmetic language intricacies thus remains an open problem.
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Pomonis et al. (2014) studied this question.
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