We make publicly available the tool used to produce the data, the data used to validate the claims made in the paper titled "Estimating Residual Risk in Greybox Fuzzing", and the simulation+evaluation scripts to produce from the data the figures shown in the paper. In the context of our paper, we conducted several simulation studies and evaluated the performance of the classical and proposed estimators of residual risk in the presence of adaptive bias in greybox fuzzing. The data for the empirical evaluation were generated through fuzzing campaigns with a modified version of LibFuzzer. In this experimental setup, we establish ground truth for discovery probability to evaluate estimator performance w.r.t the ground truth.

This digital object contains the artifacts for the paper titled "Estimating Residual Risk in Greybox Fuzzing" that was accepted at ESEC/FSE'21.