Results 11 to 20 of about 22,224 (372)
Harvey: a greybox fuzzer for smart contracts [PDF]
, 2020 We present Harvey, an industrial greybox fuzzer for smart contracts, which are programs managing accounts on a blockchain. Greybox fuzzing is a lightweight test-generation approach that effectively detects bugs and security vulnerabilities.
Valentin Wüstholz, Maria Christakis
openalex +3 more sources
Automatically Seed Corpus and Fuzzing Executables Generation Using Test Framework
IEEE Access, 2022 Fuzzing is widely utilized as a practical test method to determine unknown vulnerabilities in software. Although fuzzing shows excellent results for code coverage and crash count, it is not easy to apply these effects to library fuzzing. A library cannot
Sanghoon Jeon +3 more
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Efficient ECU Analysis Technology Through Structure-Aware CAN Fuzzing
IEEE Access, 2022 Modern vehicles are equipped with a number of electronic control units (ECUs), which control vehicles efficiently by communicating with each other through the controller area network (CAN).
Hyunghoon Kim +4 more
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Optimizing IoT Web Fuzzing by Firmware Infomation Mining
Applied Sciences, 2022 IoT web fuzzing is an effective way to detect security flaws in IoT devices. However, without enough information of the tested targets, IoT web fuzzing is often blind and inefficient.
Yifei Gao +5 more
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Testcase Filtering Method Based on QRNN for Network Protocol Fuzzing [PDF]
Jisuanji kexue, 2022 At present,targets of network protocol fuzzing tend to be large protocol entities,and traditional testcase filtering me-thods are mainly based on the running status information of the test object.The larger the test object,the longer it takes to execute ...
HU Zhi-hao, PAN Zu-lie
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Learn&Fuzz: Machine learning for input fuzzing [PDF]
2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2017 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 suitable for input fuzzing using sample inputs and neural-network-based statistical machine-learning techniques.
Godefroid, Patrice +2 more
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PGNFuzz:Pointer Generation Network Based Fuzzing Framework for Industry Control Protocols [PDF]
Jisuanji kexue, 2022 Industrial security issues have always been an important and urgent issue globally.Industrial control protocols are widely used in the communication between industrial control system(ICS) components.Their security is related to the safe and stable ...
WANG Tian-yuan, WU Shu-hong, LI Zhao-ji, XIN Hao-guang, LI Xuan, CHEN Yong-le
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Applied Sciences, 2023 Ensemble fuzzing in parallel with heterogeneous fuzzers has been proposed to leverage the advantages of diverse fuzzers and improve testing efficiency.
Yutao Sun, Xianghua Xu
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Practical Anti-Fuzzing Techniques With Performance Optimization
IEEE Open Journal of the Computer Society, 2023 Fuzzing, an automated software testing technique, has achieved remarkable success in recent years, aiding developers in identifying vulnerabilities. However, fuzzing can also be exploited by attackers to discover zero-day vulnerabilities. To counter this
Zhengxiang Zhou, Cong Wang
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Exploratory Review of Hybrid Fuzzing for Automated Vulnerability Detection
IEEE Access, 2021 Recently, software testing has become a significant component of information security. The most reliable technique for automated software testing is a fuzzing tool that feeds programs with random test-input and detects software vulnerabilities that are ...
Fayozbek Rustamov +3 more
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