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Fuzzing has become a commonly used approach to identifying bugs in complex, real-world programs. However, interpreters are notoriously difficult to fuzz effectively, as they expect highly structured inputs, which are rarely produced by most…

Cryptography and Security · Computer Science 2023-04-06 Christopher Salls , Chani Jindal , Jake Corina , Christopher Kruegel , Giovanni Vigna

Hardware flaws are permanent and potent: hardware cannot be patched once fabricated, and any flaws may undermine any software executing on top. Consequently, verification time dominates implementation time. The gold standard in hardware…

Hardware Architecture · Computer Science 2021-02-05 Timothy Trippel , Kang G. Shin , Alex Chernyakhovsky , Garret Kelly , Dominic Rizzo , Matthew Hicks

The Resource Public Key Infrastructure (RPKI) has become essential to secure inter-domain routing. Despite its critical role, RPKI software remains largely untested beyond shallow parsing. Existing fuzzers, like AFL++ or libFuzzer, do not…

Cryptography and Security · Computer Science 2026-05-27 Haya Schulmann , Niklas Vogel

Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in various software systems. Systems under test (SUTs) that take in programming or formal language as inputs, e.g., compilers, runtime engines, constraint…

Software Engineering · Computer Science 2024-12-11 Chunqiu Steven Xia , Matteo Paltenghi , Jia Le Tian , Michael Pradel , Lingming Zhang

Fuzzing is a well-established technique for detecting bugs and vulnerabilities. With the surge of fuzzers and fuzzer platforms being developed such as AFL and OSSFuzz rises the necessity to benchmark these tools' performance. A common…

Software Engineering · Computer Science 2025-03-26 Timothée Riom , Sabine Houy , Bruno Kreyssig , Alexandre Bartel

As technology continues to advance and we usher in the era of Industry 5.0, there has been a profound paradigm shift in operating systems, file systems, web, and network applications. The conventional utilization of multiprocessing and…

Cryptography and Security · Computer Science 2023-12-25 Aishwarya Upadhyay , Vijay Laxmi , Smita Naval

MLFuzz, a work accepted at ACM FSE 2023, revisits the performance of a machine learning-based fuzzer, NEUZZ. We demonstrate that its main conclusion is entirely wrong due to several fatal bugs in the implementation and wrong evaluation…

Cryptography and Security · Computer Science 2024-09-10 Dongdong She , Kexin Pei , Junfeng Yang , Baishakhi Ray , Suman Jana

Contemporary fuzz testing techniques focus on identifying memory corruption vulnerabilities that allow adversaries to achieve either remote code execution or information disclosure. Meanwhile, Algorithmic Complexity (AC)vulnerabilities,…

Cryptography and Security · Computer Science 2020-02-18 William Blair , Andrea Mambretti , Sajjad Arshad , Michael Weissbacher , William Robertson , Engin Kirda , Manuel Egele

Network applications are routinely under attack. We consider the problem of developing an effective and efficient fuzzer for the recently ratified QUIC network protocol to uncover security vulnerabilities. QUIC offers a unified transport…

Cryptography and Security · Computer Science 2025-03-26 Kian Kai Ang , Damith C. Ranasinghe

Vulnerabilities related to option combinations pose a significant challenge in software security testing due to their vast search space. Previous research primarily addressed this challenge through mutation or filtering techniques, which…

Cryptography and Security · Computer Science 2024-09-04 Dawei Wang , Geng Zhou , Li Chen , Dan Li , Yukai Miao

Fuzzing is a commonly used technique designed to test software by automatically crafting program inputs. Currently, the most successful fuzzing algorithms emphasize simple, low-overhead strategies with the ability to efficiently monitor…

Software Engineering · Computer Science 2018-07-20 William Drozd , Michael D. Wagner

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…

Cryptography and Security · Computer Science 2023-02-28 Yu-Fu Fu , Jaehyuk Lee , Taesoo Kim

Background: Security regressions are vulnerabilities introduced in a previously unaffected software system. They often happen as a result of source code changes (e.g., a bug fix) and can have severe effects. Aims: To increase the…

Software Engineering · Computer Science 2022-07-06 Larissa Braz , Enrico Fregnan , Vivek Arora , Alberto Bacchelli

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…

Artificial Intelligence · Computer Science 2017-01-26 Patrice Godefroid , Hila Peleg , Rishabh Singh

Grey box fuzzing is one of the most successful methods for automatic vulnerability detection. However,conventional Grey box Fuzzers like AFL can open perform fuzzing against the whole input and spend more time on smaller seeds with lower…

Cryptography and Security · Computer Science 2022-03-31 Linlin Zhang , Ning Luo

Fuzzing technologies have evolved at a fast pace in recent years, revealing bugs in programs with ever increasing depth and speed. Applications working with complex formats are however more difficult to take on, as inputs need to meet…

Cryptography and Security · Computer Science 2020-08-13 Andrea Fioraldi , Daniele Cono D'Elia , Emilio Coppa

The emerging data-intensive applications are increasingly dependent on data-intensive scalable computing (DISC) systems, such as Apache Spark, to process large data. Despite their popularity, DISC applications are hard to test. In recent…

Software Engineering · Computer Science 2021-03-10 Qian Zhang , Jiyuan Wang , Muhammad Ali Gulzar , Rohan Padhye , Miryung Kim

Gzip is a file compression format, which is ubiquitously used. Although a multitude of gzip implementations exist, only pugz can fully utilize current multi-core processor architectures for decompression. Yet, pugz cannot decompress…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-21 Maximilian Knespel , Holger Brunst

Vulnerability Discovery with attack Injection security threats are increasing for the server software, when software is developed, the software tested for the functionality. Due to unawareness of software vulnerabilities most of the…

Networking and Internet Architecture · Computer Science 2014-02-12 G. Vijay Kumar , Ravikumar S. Raykundaliya , Dr. P. Naga Prasad

Mutation-based fuzzing is popular and effective in discovering unseen code and exposing bugs. However, only a few studies have concentrated on quantifying the importance of input bytes, which refers to the degree to which a byte contributes…

Cryptography and Security · Computer Science 2023-10-24 Kunpeng Zhang , Xiaogang Zhu , Xi Xiao , Minhui Xue , Chao Zhang , Sheng Wen