Directed or Undirected: Investigating Fuzzing Strategies in a CI/CD Setup
This program is tentative and subject to change.
Fuzzing best practices suggest that fuzzing should be run for at least 24 hours, if not longer. This recommendation makes it hard to integrate fuzzing into CI/CD contexts, to rapidly check a commit for bugs. Existing studies on CI/CD fuzzing simulated a CI/CD environment by running undirected fuzzers on Magma benchmark programs, which have multiple bugs injected into a single version of the program. Directed fuzzers, such as AFLGo, aim to generate inputs that reach specific target locations in the program being fuzzed. Thus, they should be more effective at fuzzing in a CI/CD environment. In this study, we propose to evaluate both directed and undirected fuzzers in a simulated CI/CD environment. Like prior work, we will use Magma as a source of benchmarks, and run fuzzers for 10 minutes. Unlike prior work, we will start the fuzzing process from a saturated corpus, rather than Magma’s default corpus. Also unlike prior work, we will run the fuzzers on versions of Magma programs with a single bug injected. To deal with the threat that Magma patches give directed fuzzers access to too precise information as to the bug location, we will also conduct experiments where we add additional lines of target code, to evaluate the sensitivity of directed fuzzers. Our registered report gives preliminary results on a small subset of benchmarks.
This program is tentative and subject to change.
Mon 16 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:30 - 12:00 | |||
10:30 15mTalk | Directed or Undirected: Investigating Fuzzing Strategies in a CI/CD Setup FUZZING | ||
10:45 15mTalk | Effective Fuzzing within CI/CD Pipelines FUZZING Arindam Sharma Imperial College London, UK, Cristian Cadar Imperial College London, Jonathan Metzman Google | ||
11:00 15mTalk | Automated Feature Testing of Verilog Parsers using Fuzzing FUZZING Quentin Corradi Imperial College London, John Wickerson Imperial College London, George A. Constantinides Imperial College London, UK | ||
11:15 15mTalk | WebAssembly as a Fuzzing Compilation Target FUZZING Florian Bauckholt CISPA Helmholtz Center for Information Security, Thorsten Holz CISPA Helmholtz Center for Information Security | ||
11:30 15mTalk | Visualization Task Taxonomy to Understand the Fuzzing Internals FUZZING Sriteja Kummita Fraunhofer IEM, Miao Miao The University of Texas at Dallas, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM, Shiyi Wei University of Texas at Dallas |