Peeling Off the Cocoon: Unveiling Suppressed Golden Seeds for Mutational Greybox Fuzzing

TL;DR

This paper introduces PoCo, a novel technique that improves coverage-based seed selection in fuzzing by removing obstacle conditions to uncover hidden seeds, leading to more effective bug discovery.

Contribution

PoCo is the first method to systematically peel off obstacle conditions to enhance seed selection in greybox fuzzing.

Findings

PoCo outperforms traditional seed selection methods in bug detection.

Removing obstacle conditions increases seed diversity and coverage.

PoCo achieves higher code coverage in experimental evaluations.

Abstract

PoCo is a technique that aims to enhance modern coverage-based seed selection (CSS) techniques (such as afl-cmin) by gradually removing obstacle conditional statements and conducting deeper seed selection.