Program Fuzzing on High Performance Computing Resources

Technical Report · Mon Dec 31 23:00:00 EST 2018

DOI:https://doi.org/10.2172/1492735· OSTI ID:1492735

Cioce, Christian R. ^[1]; Loffredo, Daniel George ^[1]; Salim, Nasser J. ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

American Fuzzy Lop (AFL) is an evolutionary fuzzer that is strategically implemented as a tool for discovering bugs in software during vulnerability research. This work seeks to understand how to best implement AFL on the High-Performance Computing resources available on the unclassified network at Sandia National Laboratories. We investigate various methods of executing AFL, requesting varying numbers of tasks on single compute nodes with 36 physical cores and 72 total threads. A Python script called Blue Claw is presented as an automated testbed generator tool to assist in the tedious process of creating and executing experiments of any scale and duration.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1492735
• Report Number(s): SAND--2019-0674; 671718
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING