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FuzzFactory: Domain-Specific Fuzzing with Waypoints (Replication Package)

Padhye, Rohan; Lemieux, Caroline

Sen, Koushik; Simon, Laurent; Vijayakumar, Hayawardh

This artifact accompanies the paper "FuzzFactory: Domain-Specific Fuzzing with Waypoints", submitted to OOPSLA 2019.

Paper abstract:

Coverage-guided fuzz testing has gained prominence as a highly effective method of finding security vulnerabilities such as buffer overflows in programs that parse binary data. Recently, researchers have introduced various specializations to the coverage-guided fuzzing algorithm for different domain-specific testing goals, such as finding performance bottlenecks, generating valid inputs, handling magic-byte comparisons, etc. Each such solution can require weeks of development effort and produces a distinct variant of a fuzzing tool. We observe that many of these domain-specific solutions follow a common solution pattern. In this paper, we present FuzzFactory, a framework for rapid prototyping of domain-specific fuzzing applications. FuzzFactory allows users to specify the collection of dynamic domain-specific feedback during test execution. FuzzFactory uses a domain-specific fuzzing algorithm that incorporates such custom feedback to selectively save intermediate inputs, called waypoints, to augment coverage-guided fuzzing. We use FuzzFactory to implement six domain-specific fuzzing applications: three re-implementations of prior work and three novel solutions, and evaluate their effectiveness on benchmarks from Google's fuzzer test suite. We also show how domain-specific feedback can be composed to produce composite applications, which perform better than the sum of their parts. For example, we combine domain-specific feedback about strict equality comparisons and dynamic memory allocations, to enable the automatic generation of ZIP bombs and PNG bombs. We also discover a previously unknown memory leak in libarchive.

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