Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Publication Date

Jonathan M. Foote
August 2014 - Conference Paper Optimizing Seed Selection for Fuzzing

In this paper, we focus on how to mathematically formulate and reason about one critical aspect in fuzzing: how best to pick seed files to maximize the total number of bugs found during a fuzz campaign.

August 2012 - Technical Note Probability-Based Parameter Selection for Black-Box Fuzz Testing

Topics: Vulnerability Analysis

In this report, the authors describe an algorithm for automating the selection of seed files and other parameters used in black-box fuzz testing.