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Directed Proof Generation for Machine Code

  • Aditya Thakur
  • Junghee Lim
  • Akash Lal
  • Amanda Burton
  • Evan Driscoll
  • Matt Elder
  • Tycho Andersen
  • Thomas Reps
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6174)

Abstract

We present the algorithms used in McVeto (Machine-Code VErification TOol), a tool to check whether a stripped machine-code program satisfies a safety property. The verification problem that McVeto addresses is challenging because it cannot assume that it has access to (i) certain structures commonly relied on by source-code verification tools, such as control-flow graphs and call-graphs, and (ii) meta-data, such as information about variables, types, and aliasing. It cannot even rely on out-of-scope local variables and return addresses being protected from the program’s actions. What distinguishes McVeto from other work on software model checking is that it shows how verification of machine-code can be performed, while avoiding conventional techniques that would be unsound if applied at the machine-code level.

Keywords

Abstract Graph Symbolic Execution Symbolic State Machine Code Security Vulnerability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Aditya Thakur
    • 1
  • Junghee Lim
    • 1
  • Akash Lal
    • 2
  • Amanda Burton
    • 1
  • Evan Driscoll
    • 1
  • Matt Elder
    • 1
  • Tycho Andersen
    • 1
  • Thomas Reps
    • 1
    • 3
  1. 1.University of WisconsinMadisonUSA
  2. 2.Microsoft Research IndiaBangaloreIndia
  3. 3.GrammaTech, Inc.IthacaUSA

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