Back to results

Massachusetts Institute of Technology

Integer overflow discovery using goal-directed conditional branch enforcement

Abstract

dc:description.abstract

We present a new technique and system, DIODE, for automatically generating inputs that trigger overflows at memory allocation sites. DIODE is designed to identify relevant sanity checks that inputs must satisfy to trigger overflows at target memory allocation sites, then generate inputs that satisfy these sanity checks to successfully trigger the overflow. DIODE works with off-the-shelf, production x86 binaries. Our results show that, for our benchmark set of applications, for every target memory allocation site, either 1) DIODE is able to generate an input that triggers an overflow at that site or 2) there is no input that would trigger an overflow for the observed target expression at that site.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rittenhouse, Nathan (Nathan W.)
Advisor dc:contributor.advisor
  • Martin C. Rinard.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/91865
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/91865

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Rittenhouse, Nathan (Nathan W.). Integer overflow discovery using goal-directed conditional branch enforcement. Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91865