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Fuzz testing (or fuzzing) is an effective technique used to find security vulnerabilities. It consists of feeding a software under test with malformed inputs, waiting for a weird system behaviour (often a crash of the system). Over the…

密码学与安全 · 计算机科学 2023-03-14 Marcello Maugeri , Cristian Daniele , Giampaolo Bella , Erik Poll

Fuzzing is a security testing methodology effective in finding bugs. In a nutshell, a fuzzer sends multiple slightly malformed messages to the software under test, hoping for crashes or weird system behaviour. The methodology is relatively…

密码学与安全 · 计算机科学 2023-01-09 Cristian Daniele , Seyed Behnam Andarzian , Erik Poll

Vulnerable software represents a tremendous threat to modern information systems. Vulnerabilities in widespread applications may be used to spread malware, steal money and conduct target attacks. To address this problem, developers and…

密码学与安全 · 计算机科学 2018-07-06 Maksim Shudrak , Vyacheslav Zolotarev

Among the many software vulnerability discovery techniques available today, fuzzing has remained highly popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of empirical evidence in discovering…

密码学与安全 · 计算机科学 2019-04-09 Valentin J. M. Manes , HyungSeok Han , Choongwoo Han , Sang Kil Cha , Manuel Egele , Edward J. Schwartz , Maverick Woo

Fuzzing is a popular vulnerability automated testing method utilized by professionals and broader community alike. However, despite its abilities, fuzzing is a time-consuming, computationally expensive process. This is problematic for the…

软件工程 · 计算机科学 2023-07-25 Michael Wang , Michael Robinson

Fuzzing is a widely used software security testing technique that is designed to identify vulnerabilities in systems by providing invalid or unexpected input. Continuous fuzzing systems like OSS-FUZZ have been successful in finding security…

密码学与安全 · 计算机科学 2023-07-04 Chaitanya Rahalkar

Security vulnerabilities play a vital role in network security system. Fuzzing technology is widely used as a vulnerability discovery technology to reduce damage in advance. However, traditional fuzzing techniques have many challenges, such…

密码学与安全 · 计算机科学 2020-08-20 Yan Wang , Peng Jia , Luping Liu , Jiayong Liu

Fuzz testing has enjoyed great success at discovering security critical bugs in real software. Recently, researchers have devoted significant effort to devising new fuzzing techniques, strategies, and algorithms. Such new ideas are…

密码学与安全 · 计算机科学 2018-10-22 George Klees , Andrew Ruef , Benji Cooper , Shiyi Wei , Michael Hicks

Fuzzing -- testing programs with random inputs -- has become the prime technique to detect bugs and vulnerabilities in programs. To generate inputs that cover new functionality, fuzzers require execution feedback from the program -- for…

软件工程 · 计算机科学 2020-12-29 Rahul Gopinath , Bachir Bendrissou , Björn Mathis , Andreas Zeller

Fuzzing is an important method to discover vulnerabilities in programs. Despite considerable progress in this area in the past years, measuring and comparing the effectiveness of fuzzers is still an open research question. In software…

软件工程 · 计算机科学 2023-07-26 Philipp Görz , Björn Mathis , Keno Hassler , Emre Güler , Thorsten Holz , Andreas Zeller , Rahul Gopinath

Software vulnerabilities are constantly being reported and exploited in software products, causing significant impacts on society. In recent years, the main approach to vulnerability detection, fuzzing, has been integrated into the…

软件工程 · 计算机科学 2025-10-21 Tatsuya Shirai , Olivier Nourry , Yutaro Kashiwa , Kenji Fujiwara , Yasutaka Kamei , Hajimu Iida

Fuzzing is one of the fastest growing fields in software testing. The idea behind fuzzing is to check the behavior of software against a large number of randomly generated inputs, trying to cover all interesting parts of the input space,…

软件工程 · 计算机科学 2022-02-15 Rahul Gopinath , Philipp Görz , Alex Groce

Fuzzing is a powerful software testing technique renowned for its effectiveness in identifying software vulnerabilities. Traditional fuzzing evaluations typically focus on overall fuzzer performance across a set of target programs, yet few…

软件工程 · 计算机科学 2025-06-19 Miao Miao

Fuzz testing to find semantic control vulnerabilities is an essential activity to evaluate the robustness of autonomous driving (AD) software. Whilst there is a preponderance of disparate fuzzing tools that target different parts of the…

密码学与安全 · 计算机科学 2025-04-16 Andrew Roberts , Lorenz Teply , Mert D. Pese , Olaf Maennel , Mohammad Hamad , Sebastian Steinhorst

Over 70% of security vulnerabilities in critical software systems today result from memory safety violations. To address this challenge, fuzzing and static analysis are widely used automated methods to discover such vulnerabilities. Fuzzing…

密码学与安全 · 计算机科学 2026-03-31 Keno Hassler , Philipp Görz , Stephan Lipp

Fuzzing is a technique of finding bugs by executing a software recurrently with a large number of abnormal inputs. Most of the existing fuzzers consider all parts of a software equally, and pay too much attention on how to improve the code…

密码学与安全 · 计算机科学 2019-01-07 Yuwei Li , Shouling Ji , Chenyang Lv , Yuan Chen , Jianhai Chen , Qinchen Gu , Chunming Wu

Fuzzing has gained in popularity for software vulnerability detection by virtue of the tremendous effort to develop a diverse set of fuzzers. Thanks to various fuzzing techniques, most of the fuzzers have been able to demonstrate great…

密码学与安全 · 计算机科学 2023-02-28 Yu-Fu Fu , Jaehyuk Lee , Taesoo Kim

Fuzzing consists of repeatedly testing an application with modified, or fuzzed, inputs with the goal of finding security vulnerabilities in input-parsing code. In this paper, we show how to automate the generation of an input grammar…

人工智能 · 计算机科学 2017-01-26 Patrice Godefroid , Hila Peleg , Rishabh Singh

Fuzz testing is a fundamental technique employed to identify vulnerabilities within software systems. However, the process can be protracted and resource-intensive, especially when confronted with extensive codebases. In this work, I…

软件工程 · 计算机科学 2024-12-12 Saket Upadhyay

Testing-based methodologies like fuzzing are able to analyze complex software which is not amenable to traditional formal approaches like verification, model checking, and abstract interpretation. Despite enormous success at exposing…

软件工程 · 计算机科学 2019-04-17 Shaobo He , Michael Emmi , Gabriela Ciocarlie
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