Loop-Extended Symbolic Execution on Binary Programs
Abstract
Mixed concrete and symbolic execution is an important technique for finding and understanding software bugs, including security-relevant ones. However, existing symbolic execution techniques are limited to examining one execution path at a time, in which symbolic variables reflect only direct data dependencies. We introduce loop-extended symbolic execution, a generalization that broadens the coverage of symbolic results in programs with loops. It introduces symbolic variables for the number of times each loop executes and links these with features of a known input grammar such as variable-length or repeating fields. This allows the symbolic constraints to cover a class of paths that includes different numbers of loop iterations, expressing loop-dependent program values in terms of properties of the input. By performing more reasoning symbolically, instead of by undirected exploration, applications of loop-extended symbolic execution can achieve better results and/or require fewer program executions. To demonstrate our technique we apply it to the problem of discovering and diagnosing buffer-overflow vulnerabilities in software given only in binary form. Our tool finds vulnerabilities in both a standard benchmark suite and 3 real-world applications, after generating only a handful of candidate inputs, and also diagnoses general vulnerability conditions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 02, 2009
- Accession Number
- ADA538843
Entities
People
- Dawn Song
- Pongsin Poosankam
- Prateek Saxena
- Stephen Mccamant
Organizations
- University of California, Berkeley