· 2017
VUzzer: Application-aware Evolutionary Fuzzing
- 594citations
- 2017year
Short summary
VUzzer is an application-aware evolutionary fuzzer that improves bug detection by prioritizing inputs that are more likely to trigger program crashes.
AI-generated from the title and abstract; the full text is not read.
Key points
- VUzzer employs an application-aware evolutionary strategy for fuzzing.
- It prioritizes inputs based on their potential to reach deeper program states or cause crashes.
- This prioritization leads to improved bug detection efficiency for complex software.
AI-generated from the title and abstract; the full text is not read.
Abstract
Author(s): Sanjay Rawat, Vivek Jain, Ashish Kumar, Lucian Cojocar, Cristiano Giuffrida, Herbert Bos Download: Paper (PDF) Date: 27 Feb 2017 Document Type: Reports Additional Documents: Video Associated Event: NDSS Symposium 2017 Abstract: Fuzzing is an effective software testing technique to find bugs. Given the size and complexity of real-world applications, modern fuzzers tend to be either scalable, … Continued
The authors' abstract, as published at the source., 2017 · DOI ↗
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Field: Software
SoftwareComputer Science