INSTRIM: Lightweight Instrumentation for Coverage-guided Fuzzing

Abstract

Empowered by instrumentation, coverage-guided fuzzing monitors the program execution path taken by an input, and prioritizes inputs based on their contribution to code coverage.Although instrumenting every basic block ensures full visibility, it slows down the fuzzer and thus the speed of vulnerability discovery.This paper shows that thanks to common program structures (e.g., directed acyclic subgraphs and simple loops) and compiler optimization (e.g., knowledge of incoming edges), it is possible to accurately reconstruct coverage information by instrumenting only a small fraction of basic blocks.Specifically, we formulate the problem as a path differentiation problem on the control flow graph, and propose an efficient algorithm to select basic blocks that need to be instrumented so that different execution paths remain differentiable.We extend AFL to support such CFG-aware instrumentation.Our experiment results confirm that, compared with full instrumentation, our CFG-aware instrumentation only needs to instrument about 20% of basic blocks while offering 1.04-1.78xspeedup during fuzzing.Finally, we highlight several technical challenges and promising research directions to further improve instrumentation for fuzzing.