One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction-Reference-Cited by-同舟云学术

One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th Annual Computer Security Applications Conference
language:
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Author:

Srivastava Prashast¹^ORCID,Nagy Stefan²^ORCID,Hicks Matthew³^ORCID,Bianchi Antonio⁴^ORCID,Payer Mathias⁵^ORCID

Affiliation:

1. Purdue University, United States

2. University of Utah, USA

3. Virginia Tech, USA

4. Purdue University, USA

5. EPFL, Switzerland

Funder

SNSF

ERC

DARPA

AFRL

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3564625.3564643

Reference43 articles.

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2. Andrea Biondo. 2018. Improving AFL’s QEMU mode performance. https://abiondo.me/2018/09/21/improving-afl-qemu-mode/ Andrea Biondo. 2018. Improving AFL’s QEMU mode performance. https://abiondo.me/2018/09/21/improving-afl-qemu-mode/

3. Trail Of Bits. 2017. CGC Challenge Dataset. https://github.com/trailofbits/cb_multios Trail Of Bits. 2017. CGC Challenge Dataset. https://github.com/trailofbits/cb_multios

4. Marcel Böhme , Van-Thuan Pham , Manh-Dung Nguyen , and Abhik Roychoudhury . 2017 . Directed Greybox Fuzzing. In ACM SIGSAC Conference on Computer and Communications Security(CCS). Marcel Böhme, Van-Thuan Pham, Manh-Dung Nguyen, and Abhik Roychoudhury. 2017. Directed Greybox Fuzzing. In ACM SIGSAC Conference on Computer and Communications Security(CCS).

5. Hawkeye

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