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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…

Cryptography and Security · Computer Science 2018-07-06 Maksim Shudrak , Vyacheslav Zolotarev

Firmware serves as the critical interface between hardware and software in computing systems, making any bugs or vulnerabilities particularly dangerous as they can cause catastrophic system failures. While fuzzing is a promising approach…

Cryptography and Security · Computer Science 2026-02-03 Dakshina Tharindu , Aruna Jayasena , Prabhat Mishra

Fuzz Testing is a largely automated testing technique that provides random and unexpected input to a program in attempt to trigger failure conditions. Much of the research conducted thus far into Fuzz Testing has focused on developing…

Software Engineering · Computer Science 2019-07-30 Matthew Kelly , Christoph Treude , Alex Murray

Coverage guided fuzzing (CGF) is an effective testing technique which has detected hundreds of thousands of bugs from various software applications. It focuses on maximizing code coverage to reveal more bugs during fuzzing. However, a…

Software Engineering · Computer Science 2022-05-03 Ruixiang Qian , Quanjun Zhang , Chunrong Fang , Lihua Guo

Fuzzing is a technique widely used in vulnerability detection. The process usually involves writing effective fuzz driver programs, which, when done manually, can be extremely labor intensive. Previous attempts at automation leave much to…

Software Engineering · Computer Science 2021-03-02 Mingrui Zhang , Jianzhong Liu , Fuchen Ma , Huafeng Zhang , Yu Jiang

Greybox fuzzing is a lightweight testing approach that effectively detects bugs and security vulnerabilities. However, greybox fuzzers randomly mutate program inputs to exercise new paths; this makes it challenging to cover code that is…

Cryptography and Security · Computer Science 2018-07-23 Valentin Wüstholz , Maria Christakis

Compilers constitute the foundational root-of-trust in software supply chains; however, their immense complexity inevitably conceals critical defects. Recent research has attempted to leverage historical bugs to design new mutation…

Software Engineering · Computer Science 2026-01-28 Xingbang He , Yuanwei Chen , Hao Wu , Jikang Zhang , Zicheng Wang , Ligeng Chen , Junjie Peng , Haiyang Wei , Yi Qian , Tiantai Zhang , Linzhang Wang , Bing Mao

The increasing complexity of modern processors poses many challenges to existing hardware verification tools and methodologies for detecting security-critical bugs. Recent attacks on processors have shown the fatal consequences of…

Cryptography and Security · Computer Science 2022-01-26 Aakash Tyagi , Addison Crump , Ahmad-Reza Sadeghi , Garrett Persyn , Jeyavijayan Rajendran , Patrick Jauernig , Rahul Kande

Rust is a promising programming language that focuses on concurrency, usability, and security. It is used in production code by major industry players and got recommended by government bodies. Rust provides strong security guarantees…

Cryptography and Security · Computer Science 2025-05-06 David Paaßen , Jens-Rene Giesen , Lucas Davi

Grey-box fuzz testing has revealed thousands of vulnerabilities in real-world software owing to its lightweight instrumentation, fast coverage feedback, and dynamic adjusting strategies. However, directly applying grey-box fuzzing to…

Software Engineering · Computer Science 2020-08-03 Hongxu Chen , Shengjian Guo , Yinxing Xue , Yulei Sui , Cen Zhang , Yuekang Li , Haijun Wang , Yang Liu

We present DiffMin, a technique that refines a fuzzed crashing input to gain greater similarities to given passing inputs to help developers analyze the crashing input to identify the failure-inducing condition and locate buggy code for…

Software Engineering · Computer Science 2025-05-07 Kieun Kim , Seongmin Lee , Shin Hong

Fuzzing is a powerful technique for finding bugs in software libraries, but scaling it remains difficult. Automated harness generation commits to fixed API sequences at synthesis time, limiting the behaviors each harness can test.…

Software Engineering · Computer Science 2026-02-24 Harrison Green , Fraser Brown , Claire Le Goues

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different…

Software Engineering · Computer Science 2025-06-17 Wenbing Tang , Mingfei Cheng , Renzhi Wang , Yuan Zhou , Chengwei Liu , Yang Liu , Zuohua Ding

Fuzz testing (fuzzing) is a well-known method for exposing bugs/vulnerabilities in software systems. Popular fuzzers, such as AFL, use a biased random search over the domain of program inputs, where 100s or 1000s of inputs (test cases) are…

Software Engineering · Computer Science 2023-08-02 Yuntong Zhang , Ridwan Shariffdeen , Gregory J. Duck , Jiaqi Tan , Abhik Roychoudhury

Smart contracts are Turing-complete programs that are executed across a blockchain. Unlike traditional programs, once deployed, they cannot be modified. As smart contracts carry more value, they become more of an exciting target for…

Cryptography and Security · Computer Science 2021-03-11 Christof Ferreira Torres , Antonio Ken Iannillo , Arthur Gervais , Radu State

Fuzzing is a widely used technique for detecting software bugs and vulnerabilities. Most popular fuzzers generate new inputs using an evolutionary search to maximize code coverage. Essentially, these fuzzers start with a set of seed inputs,…

Software Engineering · Computer Science 2020-09-14 Dongdong She , Rahul Krishna , Lu Yan , Suman Jana , Baishakhi Ray

Softwarization and virtualization in 5G and beyond necessitate thorough testing to ensure the security of critical infrastructure and networks, requiring the identification of vulnerabilities and unintended emergent behaviors from protocol…

Cryptography and Security · Computer Science 2023-07-24 Jingda Yang , Sudhanshu Arya , Ying Wang

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…

Cryptography and Security · Computer Science 2019-04-09 Valentin J. M. Manes , HyungSeok Han , Choongwoo Han , Sang Kil Cha , Manuel Egele , Edward J. Schwartz , Maverick Woo

Fuzzing has proven to be a fundamental technique to automated software testing but also a costly one. With the increased adoption of CI/CD practices in software development, a natural question to ask is `What are the best ways to integrate…

Software Engineering · Computer Science 2022-06-08 Thijs Klooster , Fatih Turkmen , Gerben Broenink , Ruben ten Hove , Marcel Böhme

Many software projects employ manual code review to gatekeep defects and vulnerabilities in the code before integration. However, reviewers often work under time pressure and rely primarily on static inspection, leaving the dynamic aspects…

Software Engineering · Computer Science 2025-10-20 Wachiraphan Charoenwet , Patanamon Thongtanunam , Van-Thuan Pham , Christoph Treude