Abstract
dc:description.abstractFuzzing, the method of generating inputs to run on a target program while monitoring its execution, is a widely adopted and pragmatic methodology for bug hunting as a means of software hardening. Technical improvements in throughput have shown to be critical to increasing the rate at which new bugs can be discovered time and time again. Persistent fuzzing, which keeps the fuzz target alive via looping, provides increased throughput at the cost for manual development of harnesses to account for invalid states and coverage of the programs code base, while relying on forking to reset the state accrued by looping over the same piece of code multiple times. Stale state can lead to wasted fuzzing efforts as certain areas of code may be conditionally ignored due to a stale global. I propose Closure, a toolset which enables programs to run at persistent speeds while avoiding the downsides of stale state and other bottlenecks associated with persistent fuzzing.
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- masters
- Discipline thesis:degree_discipline
- Computer Science and Applications
- Department dc:contributor.department
- Computer Science
- Grantor dc:publisher
- Virginia Tech
- Year dc:date.issued
- 2022
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Paterson, Ian G.
- Chair dc:contributor.committeechair
-
- Hicks, Matthew
- Committee members dc:contributor.committeemember
-
- Tilevich, Eli
- Cameron, Kirk W.
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- In Copyright
- Licence dc:rights.uri
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Dc Identifier Other
- vt_gsexam:35021
- OAI identifier oai:identifier
- oai:vtechworks.lib.vt.edu:10919/110361