Design and Implement Binary Fuzzing Based on Libfuzzer

Wei Chieh Chao; Si Chen Lin; Yi Hsien Chen; Chin Wei Tien; Chun-Ying Huang

doi:10.1109/DESEC.2018.8625172

Design and Implement Binary Fuzzing Based on Libfuzzer

Wei Chieh Chao, Si Chen Lin, Yi Hsien Chen, Chin Wei Tien, Chun-Ying Huang

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We design and implement libFuzzer-bin, a coverage-guided binary fuzzer based on libFuzzer. We discuss how libFuzzer-bin is implemented, measure the overheads of our implementation, and compare its performance against the American Fuzzy Lop (AFL) fuzzer. This is a work-in-progress. Our evaluation results show that, compared with the vanilla AFL, the current implementation brings only limited overheads and is able to identify possible vulnerabilities in a shorter time.

Original language	English
Title of host publication	DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538657904
DOIs	https://doi.org/10.1109/DESEC.2018.8625172
State	Published - 23 Jan 2019
Event	2018 IEEE Conference on Dependable and Secure Computing, DSC 2018 - Kaohsiung, Taiwan Duration: 10 Dec 2018 → 13 Dec 2018

Publication series

Name	DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing

Conference

Conference	2018 IEEE Conference on Dependable and Secure Computing, DSC 2018
Country	Taiwan
City	Kaohsiung
Period	10/12/18 → 13/12/18

Access to Document

10.1109/DESEC.2018.8625172

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Cite this

Chao, W. C., Lin, S. C., Chen, Y. H., Tien, C. W., & Huang, C-Y. (2019). Design and Implement Binary Fuzzing Based on Libfuzzer. In DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing [8625172] (DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DESEC.2018.8625172

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title = "Design and Implement Binary Fuzzing Based on Libfuzzer",

abstract = "We design and implement libFuzzer-bin, a coverage-guided binary fuzzer based on libFuzzer. We discuss how libFuzzer-bin is implemented, measure the overheads of our implementation, and compare its performance against the American Fuzzy Lop (AFL) fuzzer. This is a work-in-progress. Our evaluation results show that, compared with the vanilla AFL, the current implementation brings only limited overheads and is able to identify possible vulnerabilities in a shorter time.",

author = "Chao, {Wei Chieh} and Lin, {Si Chen} and Chen, {Yi Hsien} and Tien, {Chin Wei} and Chun-Ying Huang",

year = "2019",

month = jan,

day = "23",

doi = "10.1109/DESEC.2018.8625172",

language = "English",

series = "DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing",

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note = "null ; Conference date: 10-12-2018 Through 13-12-2018",

}

Chao, WC, Lin, SC, Chen, YH, Tien, CW & Huang, C-Y 2019, Design and Implement Binary Fuzzing Based on Libfuzzer. in DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing., 8625172, DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Conference on Dependable and Secure Computing, DSC 2018, Kaohsiung, Taiwan, 10/12/18. https://doi.org/10.1109/DESEC.2018.8625172

Design and Implement Binary Fuzzing Based on Libfuzzer. / Chao, Wei Chieh; Lin, Si Chen; Chen, Yi Hsien; Tien, Chin Wei; Huang, Chun-Ying.

DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing. Institute of Electrical and Electronics Engineers Inc., 2019. 8625172 (DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We design and implement libFuzzer-bin, a coverage-guided binary fuzzer based on libFuzzer. We discuss how libFuzzer-bin is implemented, measure the overheads of our implementation, and compare its performance against the American Fuzzy Lop (AFL) fuzzer. This is a work-in-progress. Our evaluation results show that, compared with the vanilla AFL, the current implementation brings only limited overheads and is able to identify possible vulnerabilities in a shorter time.

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