Fuzzing optimization of ImageMagick

This final year project will explore the application of a fuzzing program American Fuzzy Lop++ (AFL++) which will be used to fuzz the program ImageMagick and how to optimize of the fuzzing process to achieve a higher program coverage of our fuzzing target, ImageMagick in hopes of finding previous...

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Main Author: Lim, Wei Rong
Other Authors: Lin Shang-Wei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/156318
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1563182022-04-13T13:07:47Z Fuzzing optimization of ImageMagick Lim, Wei Rong Lin Shang-Wei School of Computer Science and Engineering shang-wei.lin@ntu.edu.sg Engineering::Computer science and engineering This final year project will explore the application of a fuzzing program American Fuzzy Lop++ (AFL++) which will be used to fuzz the program ImageMagick and how to optimize of the fuzzing process to achieve a higher program coverage of our fuzzing target, ImageMagick in hopes of finding previously undiscovered bugs. This project will walk through the process of fuzzing optimization where we manage to achieve more than 20 times increase in fuzzing coverage of ImageMagick. Bachelor of Engineering (Computer Science) 2022-04-13T13:07:47Z 2022-04-13T13:07:47Z 2022 Final Year Project (FYP) Lim, W. R. (2022). Fuzzing optimization of ImageMagick. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156318 https://hdl.handle.net/10356/156318 en SCSE21-0047 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Lim, Wei Rong
Fuzzing optimization of ImageMagick
description This final year project will explore the application of a fuzzing program American Fuzzy Lop++ (AFL++) which will be used to fuzz the program ImageMagick and how to optimize of the fuzzing process to achieve a higher program coverage of our fuzzing target, ImageMagick in hopes of finding previously undiscovered bugs. This project will walk through the process of fuzzing optimization where we manage to achieve more than 20 times increase in fuzzing coverage of ImageMagick.
author2 Lin Shang-Wei
author_facet Lin Shang-Wei
Lim, Wei Rong
format Final Year Project
author Lim, Wei Rong
author_sort Lim, Wei Rong
title Fuzzing optimization of ImageMagick
title_short Fuzzing optimization of ImageMagick
title_full Fuzzing optimization of ImageMagick
title_fullStr Fuzzing optimization of ImageMagick
title_full_unstemmed Fuzzing optimization of ImageMagick
title_sort fuzzing optimization of imagemagick
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/156318
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