Cover Image

Weaver: Fuzzing JavaScript Engines at the JavaScript-WebAssembly Boundary

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Lingming, Zhao, Binbin, Liu, Puzhuo, Xie, Qinge, Di, Peng, Chen, Jianhai, Ji, Shouling
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
by: Xia, Yifan, et al.
Published: (2023)

PatchFuzz: Patch Fuzzing for JavaScript Engines
by: Wang, Junjie, et al.
Published: (2025)

From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines
by: Ganguly, Kishan Kumar, et al.
Published: (2025)

Blocking Tracking JavaScript at the Function Granularity
by: Amjad, Abdul Haddi, et al.
Published: (2024)

Characterizing Phishing Pages by JavaScript Capabilities
by: Nahapetyan, Aleksandr, et al.
Published: (2025)

GHunter: Universal Prototype Pollution Gadgets in JavaScript Runtimes
by: Cornelissen, Eric, et al.
Published: (2024)

FV8: A Forced Execution JavaScript Engine for Detecting Evasive Techniques
by: Pantelaios, Nikolaos, et al.
Published: (2024)

Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code
by: Pagano, Francesco, et al.
Published: (2026)

An Empirical Study of JavaScript Inclusion Security Issues in Chrome Extensions
by: Guan, Chong
Published: (2025)

Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs
by: Pereira, Pedro, et al.
Published: (2025)

JsDeObsBench: Measuring and Benchmarking LLMs for JavaScript Deobfuscation
by: Chen, Guoqiang, et al.
Published: (2025)

Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web
by: Swierzy, Ben, et al.
Published: (2025)

Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions
by: Ferenc, Rudolf, et al.
Published: (2024)

Fakeium: A Dynamic Execution Environment for JavaScript Program Analysis
by: Moreno, José Miguel, et al.
Published: (2024)

Characterizing JavaScript Security Code Smells
by: Kambhampati, Vikas, et al.
Published: (2024)

CASCADE: LLM-Powered JavaScript Deobfuscator at Google
by: Jiang, Shan, et al.
Published: (2025)

Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks
by: Robinson, Michael, et al.
Published: (2026)

A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
by: Le, Tan Khang, et al.
Published: (2024)

Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of Privacy-Harming Code in JavaScript Bundles
by: Ali, Mir Masood, et al.
Published: (2024)

CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
by: Eom, Jueon, et al.
Published: (2024)

From Obfuscated to Obvious: A Comprehensive JavaScript Deobfuscation Tool for Security Analysis
by: Zhou, Dongchao, et al.
Published: (2025)

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
by: Liang, Zhihong, et al.
Published: (2025)

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
by: Tihanyi, Norbert, et al.
Published: (2025)

Large Language Models Cannot Reliably Detect Vulnerabilities in JavaScript: The First Systematic Benchmark and Evaluation
by: Fei, Qingyuan, et al.
Published: (2025)

Implementing Agents in JavaScript
by: Kampik, Timotheus
Published: (2025)

Concolic Testing of JavaScript using Sparkplug
by: Li, Zhe, et al.
Published: (2024)

JSXGraph--Dynamic Mathematics with JavaScript
by: Gerhauser, Michael, et al.
Published: (2010)

Clutch Control: An Attention-based Combinatorial Bandit for Efficient Mutation in JavaScript Engine Fuzzing
by: Foley, Myles, et al.
Published: (2025)

On the computational complexity of JavaScript regex matching
by: Deng, Victor, et al.
Published: (2026)

Linear Matching of JavaScript Regular Expressions
by: Barrière, Aurèle, et al.
Published: (2023)

SeeWasm: An Efficient and Fully-Functional Symbolic Execution Engine for WebAssembly Binaries
by: He, Ningyu, et al.
Published: (2024)

SCRUTINEER: Detecting Logic-Level Usage Violations of Reusable Components in Smart Contracts
by: Lin, Xingshuang, et al.
Published: (2025)

Anonymized JavaScript Supply-Chain Vulnerability Datasets
by: Anonymous
Published: (2025)

OBsmith: LLM-Powered JavaScript Obfuscator Testing
by: Jiang, Shan, et al.
Published: (2025)

Browser Fingerprinting Using WebAssembly
by: Guri, Mordechai, et al.
Published: (2025)

WebAssembly and Security: a review
by: Perrone, Gaetano, et al.
Published: (2024)

A Longitudinal Study of Dependency Reclassifications in JavaScript Projects
by: Liu, Yuxin, et al.
Published: (2026)

SoK: Analysis techniques for WebAssembly
by: Harnes, Håkon, et al.
Published: (2024)

Wanilla: Sound Noninterference Analysis for WebAssembly
by: Scherer, Markus, et al.
Published: (2025)

A Systematic Evaluation of Environmental Flakiness in JavaScript Tests
by: Hashemi, Negar, et al.
Published: (2026)