Image de couverture de livre

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liang, Zhihong, Wang, Xin, Hu, Zhenhuang, Song, Liangliang, Chen, Lin, Guo, Jingjing, Wang, Yanbin, Tian, Ye
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code
par: Pagano, Francesco, et autres
Publié: (2026)

Weaver: Fuzzing JavaScript Engines at the JavaScript-WebAssembly Boundary
par: Zhang, Lingming, et autres
Publié: (2026)

From Obfuscated to Obvious: A Comprehensive JavaScript Deobfuscation Tool for Security Analysis
par: Zhou, Dongchao, et autres
Publié: (2025)

Blocking Tracking JavaScript at the Function Granularity
par: Amjad, Abdul Haddi, et autres
Publié: (2024)

Characterizing Phishing Pages by JavaScript Capabilities
par: Nahapetyan, Aleksandr, et autres
Publié: (2025)

PatchFuzz: Patch Fuzzing for JavaScript Engines
par: Wang, Junjie, et autres
Publié: (2025)

JsDeObsBench: Measuring and Benchmarking LLMs for JavaScript Deobfuscation
par: Chen, Guoqiang, et autres
Publié: (2025)

GHunter: Universal Prototype Pollution Gadgets in JavaScript Runtimes
par: Cornelissen, Eric, et autres
Publié: (2024)

IP-Augmented Multi-Modal Malicious URL Detection Via Token-Contrastive Representation Enhancement and Multi-Granularity Fusion
par: Tian, Ye, et autres
Publié: (2025)

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

Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs
par: Pereira, Pedro, et autres
Publié: (2025)

CASCADE: LLM-Powered JavaScript Deobfuscator at Google
par: Jiang, Shan, et autres
Publié: (2025)

FV8: A Forced Execution JavaScript Engine for Detecting Evasive Techniques
par: Pantelaios, Nikolaos, et autres
Publié: (2024)

Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks
par: Robinson, Michael, et autres
Publié: (2026)

Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions
par: Ferenc, Rudolf, et autres
Publié: (2024)

Fakeium: A Dynamic Execution Environment for JavaScript Program Analysis
par: Moreno, José Miguel, et autres
Publié: (2024)

Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
par: Xia, Yifan, et autres
Publié: (2023)

Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of Privacy-Harming Code in JavaScript Bundles
par: Ali, Mir Masood, et autres
Publié: (2024)

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
par: Tihanyi, Norbert, et autres
Publié: (2025)

A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
par: Le, Tan Khang, et autres
Publié: (2024)

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection
par: Tian, Ye, et autres
Publié: (2025)

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection
par: Jia, Yifan, et autres
Publié: (2025)

Large Language Models Cannot Reliably Detect Vulnerabilities in JavaScript: The First Systematic Benchmark and Evaluation
par: Fei, Qingyuan, et autres
Publié: (2025)

Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web
par: Swierzy, Ben, et autres
Publié: (2025)

From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines
par: Ganguly, Kishan Kumar, et autres
Publié: (2025)

Characterizing JavaScript Security Code Smells
par: Kambhampati, Vikas, et autres
Publié: (2024)

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories
par: Tian, Ye, et autres
Publié: (2025)

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection
par: Sheng, Zhang, et autres
Publié: (2025)

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
par: Tian, Ye, et autres
Publié: (2025)

Disassembling Obfuscated Executables with LLM
par: Rong, Huanyao, et autres
Publié: (2024)

The Pulse of Fileless Cryptojacking Attacks: Malicious PowerShell Scripts
par: Varlioglu, Said, et autres
Publié: (2024)

Heckler: Breaking Confidential VMs with Malicious Interrupts
par: Schlüter, Benedict, et autres
Publié: (2024)

SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection
par: Zhang, Mingqing, et autres
Publié: (2025)

MalTool: Malicious Tool Attacks on LLM Agents
par: Hu, Yuepeng, et autres
Publié: (2026)

SIGY: Breaking Intel SGX Enclaves with Malicious Exceptions & Signals
par: Sridhara, Supraja, et autres
Publié: (2024)

Continuous Multi-Task Pre-training for Malicious URL Detection and Webpage Classification
par: Li, Yujie, et autres
Publié: (2024)

CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
par: Eom, Jueon, et autres
Publié: (2024)

PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network
par: Liu, Ruitong, et autres
Publié: (2023)

ExDoS: Expert-Guided Dual-Focus Cross-Modal Distillation for Smart Contract Vulnerability Detection
par: Tian, Ye, et autres
Publié: (2025)

LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding
par: Jia, Yifan, et autres
Publié: (2025)