LAUSR

Low-level control makes C unsafe, resulting in memory errors that can lead to data corruption, security vulnerabilities or program crashes. Dynamic analysis tools, which have been widely used for detecting memory errors at runtime, usually perform instrumentation at the IR or binary level. However, these non-source-level instrumentation frameworks and tools suffer from two inherent drawbacks: optimization sensitivity and platform dependence. Due to optimization sensitivity, the user of these tools must trade either performance for effectiveness by compiling the program at -O0 or effectiveness for performance by compiling the program at a higher optimization level, say, -O3. In this paper, we propose a new source-level instrumentation framework to overcome these two drawbacks, and implement it in a new dynamic analysis tool, called Movec, that adopts a pointer-based monitoring algorithm. We have evaluated Movec comprehensively by using the NIST's SARD benchmark suite (1152 programs), a set of 126 microbenchmarks (with ground truth), a set of 20 MiBench benchmarks and 5 pure-C SPEC CPU 2017 benchmarks. In terms of effectiveness, Movec outperforms three state-of-the-art dynamic analysis tools, AddressSanitizer, SoftBoundCETS and Valgrind, for all the standard optimization levels (from -O0 to -O3). In terms of performance, Movec outperforms SoftBoundCETS and Valgrind, and is slower than AddressSanitizer but consumes less memory.