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Embedded software is developed under the assumption that hardware execution is always correct. Fault attacks break and exploit that assumption. Through the careful introduction of targeted faults, an adversary modifies the control-flow or…

Cryptography and Security · Computer Science 2020-03-25 Bilgiday Yuce , Patrick Schaumont , Marc Witteman

CPUs are becoming more complex with every generation, at both the logical and the physical levels. This potentially leads to more logic bugs and electrical defects in CPUs being overlooked during testing, which causes data corruption or…

Hardware Architecture · Computer Science 2021-10-25 Kostya Serebryany , Maxim Lifantsev , Konstantin Shtoyk , Doug Kwan , Peter Hochschild

Fuzzing has been studied and applied ever since the 1990s. Automated and continuous fuzzing has recently been applied also to open source software projects, including the Linux and BSD kernels. This paper concentrates on the practical…

Software Engineering · Computer Science 2020-02-26 Jukka Ruohonen , Kalle Rindell

Given the growing importance of smart contracts in various applications, ensuring their security and reliability is critical. Fuzzing, an effective vulnerability detection technique, has recently been widely applied to smart contracts.…

Software Engineering · Computer Science 2024-02-06 Shuohan Wu , Zihao Li , Luyi Yan , Weimin Chen , Muhui Jiang , Chenxu Wang , Xiapu Luo , Hao Zhou

Memory safety remains a critical and widely violated property in reality. Numerous defense techniques have been proposed and developed but most of them are not applied or enabled by default in production-ready environment due to their…

Cryptography and Security · Computer Science 2021-11-30 Wei Song , Jiameng Ying , Sihao Shen , Boya Li , Hao Ma , Peng Liu

The current hardware landscape and application scale is driving performance engineers towards writing bespoke optimizations. Verifying such optimizations, and generating minimal failing cases, is important for robustness in the face of…

Software Engineering · Computer Science 2023-06-29 Philipp Schaad , Timo Schneider , Tal Ben-Nun , Alexandru Calotoiu , Alexandros Nikolaos Ziogas , Torsten Hoefler

In vulnerability detection, machine learning has been used as an effective static analysis technique, although it suffers from a significant rate of false positives. Contextually, in vulnerability discovery, fuzzing has been used as an…

Cryptography and Security · Computer Science 2025-05-05 Gianpietro Castiglione , Marcello Maugeri , Giampaolo Bella

Seed scheduling is a prominent factor in determining the yields of hybrid fuzzing. Existing hybrid fuzzers schedule seeds based on fixed heuristics that aim to predict input utilities. However, such heuristics are not generalizable as there…

Cryptography and Security · Computer Science 2020-07-23 Yaohui Chen , Mansour Ahmadi , Reza Mirzazade farkhani , Boyu Wang , Long Lu

FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a way to reduce the memory bandwidth bottleneck encountered in some applications and to give the FPGA more capacity to deal with application state. However, the…

Hardware Architecture · Computer Science 2020-05-12 Zeke Wang , Hongjing Huang , Jie Zhang , Gustavo Alonso

Fuzzing has become the de facto standard technique for finding software vulnerabilities. However, even state-of-the-art fuzzers are not very efficient at finding hard-to-trigger software bugs. Most popular fuzzers use evolutionary guidance…

Cryptography and Security · Computer Science 2019-07-16 Dongdong She , Kexin Pei , Dave Epstein , Junfeng Yang , Baishakhi Ray , Suman Jana

Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs). Despite their potential, LLMs face specific challenges in fuzzing. In this paper, we identified five major challenges of…

Software Engineering · Computer Science 2024-04-26 Yu Jiang , Jie Liang , Fuchen Ma , Yuanliang Chen , Chijin Zhou , Yuheng Shen , Zhiyong Wu , Jingzhou Fu , Mingzhe Wang , ShanShan Li , Quan Zhang

Patch fuzzing is a technique aimed at identifying vulnerabilities that arise from newly patched code. While researchers have made efforts to apply patch fuzzing to testing JavaScript engines with considerable success, these efforts have…

Cryptography and Security · Computer Science 2025-05-02 Junjie Wang , Yuhan Ma , Xiaofei Xie , Xiaoning Du , Xiangwei Zhang

This paper summarizes our work on experimentally analyzing, exploiting, and addressing vulnerabilities in multi-level cell NAND flash memory programming, which was published in the industrial session of HPCA 2017, and examines the work's…

Hardware Architecture · Computer Science 2018-05-10 Yu Cai , Saugata Ghose , Yixin Luo , Ken Mai , Onur Mutlu , Erich F. Haratsch

Measuring the similarity of two files is an important task in malware analysis, with fuzzy hash functions being a popular approach. Traditional fuzzy hash functions are data agnostic: they do not learn from a particular dataset how to…

Machine Learning · Computer Science 2018-12-19 Ari Azarafrooz , John Brock

Since the advent of AFL, the use of mutational, feedback directed, grey-box fuzzers has become critical in the automated detection of security vulnerabilities. A great deal of research currently goes into their optimisation, including…

Software Engineering · Computer Science 2025-01-27 Daniel Blackwell , David Clark

Double-fetch bugs are a special type of race condition, where an unprivileged execution thread is able to change a memory location between the time-of-check and time-of-use of a privileged execution thread. If an unprivileged attacker…

Cryptography and Security · Computer Science 2017-11-06 Michael Schwarz , Daniel Gruss , Moritz Lipp , Clémentine Maurice , Thomas Schuster , Anders Fogh , Stefan Mangard

Hardware Fuzzing emerged as one of the crucial techniques for finding security flaws in modern hardware designs by testing a wide range of input scenarios. One of the main challenges is creating high-quality input seeds that maximize…

Cryptography and Security · Computer Science 2026-01-27 Raghul Saravanan , Sudipta Paria , Aritra Dasgupta , Swarup Bhunia , Sai Manoj P D

Coverage-guided fuzzing has been widely applied to address zero-day vulnerabilities in general-purpose software and operating systems. This approach relies on instrumenting the target code at compile time. However, applying it to industrial…

Cryptography and Security · Computer Science 2026-05-12 Carmine Cesarano , Roberto Natella

The threat of attack faced by cyber-physical systems (CPSs), especially when they play a critical role in automating public infrastructure, has motivated research into a wide variety of attack defence mechanisms. Assessing their…

Cryptography and Security · Computer Science 2020-01-16 Yuqi Chen , Christopher M. Poskitt , Jun Sun , Sridhar Adepu , Fan Zhang

Network-facing applications are commonly exposed to all kinds of attacks, especially when connected to the internet. As a result, web servers like Nginx or client applications such as curl make every effort to secure and harden their code…

Cryptography and Security · Computer Science 2024-09-04 Nils Bars , Moritz Schloegel , Nico Schiller , Lukas Bernhard , Thorsten Holz