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| Content Provider | ACM Digital Library |
|---|---|
| Author | Song, Dawn Saxena, Prateek McCamant, Stephen Poosankam, Pongsin |
| 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. |
| Starting Page | 225 |
| Ending Page | 236 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781605583389 |
| DOI | 10.1145/1572272.1572299 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-07-19 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Loop summaries Vulnerability discovery and diagnosis |
| Content Type | Text |
| Resource Type | Article |
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