Cover Image

Feasibility Study for Supporting Static Malware Analysis Using LLM

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fujii, Shota, Yamagishi, Rei
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Users Feel Guilty: Measurement of Illegal Software Installation Guide Videos on YouTube for Malware Distribution
by: Yamagishi, Rei, et al.
Published: (2024)

Through the Static: Demystifying Malware Visualization via Explainability
by: Brosolo, Matteo, et al.
Published: (2025)

Use of Multi-CNNs for Section Analysis in Static Malware Detection
by: Quertier, Tony, et al.
Published: (2024)

LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
by: Akil, Md Ajwad, et al.
Published: (2025)

MalwarePT: A Binary-Level Foundation Model for Malware Analysis
by: Vasan, Saastha, et al.
Published: (2026)

Semantic Preprocessing for LLM-based Malware Analysis
by: Marais, Benjamin, et al.
Published: (2025)

Malware Analysis on AI Technique
by: Gupta, Amjani, et al.
Published: (2023)

MALIGN: Explainable Static Raw-byte Based Malware Family Classification using Sequence Alignment
by: Saha, Shoumik, et al.
Published: (2021)

Unmasking the Shadows: Pinpoint the Implementations of Anti-Dynamic Analysis Techniques in Malware Using LLM
by: Wang, Haizhou, et al.
Published: (2024)

Detecting and Explaining Malware Family Evolution Using Rule-Based Drift Analysis
by: Jurečková, Olha, et al.
Published: (2026)

Evaluating Ensemble and Deep Learning Models for Static Malware Detection with Dimensionality Reduction Using the EMBER Dataset
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2025)

Neuro-symbolic Static Analysis with LLM-generated Vulnerability Patterns
by: Li, Penghui, et al.
Published: (2025)

"Digital Camouflage": The LLVM Challenge in LLM-Based Malware Detection
by: Böke, Ekin, et al.
Published: (2025)

SoK: Leveraging Transformers for Malware Analysis
by: Kunwar, Pradip, et al.
Published: (2024)

Target Attack Backdoor Malware Analysis and Attribution
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025)

An Explainable Memory Forensics Approach for Malware Analysis
by: Sanna, Silvia Lucia, et al.
Published: (2026)

Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEE
by: Mohammed, Riyazuddin, et al.
Published: (2026)

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis
by: Ng, Jayson, et al.
Published: (2026)

Enhancing Malware Fingerprinting through Analysis of Evasive Techniques
by: Abuadbba, Alsharif, et al.
Published: (2025)

Packed Malware Detection Using Grayscale Binary-to-Image Representations
by: Alkhateeb, Ehab, et al.
Published: (2025)

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

SaMOSA: Sandbox for Malware Orchestration and Side-Channel Analysis
by: Udeshi, Meet, et al.
Published: (2025)

Demystifying Feature Engineering in Malware Analysis of API Call Sequences
by: Qu, Tianheng, et al.
Published: (2025)

Feature-Centric Approaches to Android Malware Analysis: A Survey
by: Maganur, Shama, et al.
Published: (2025)

Malware Detection based on API Calls: A Reproducibility Study
by: Merilehto, Juhani
Published: (2026)

SCORE: Syntactic Code Representations for Static Script Malware Detection
by: Erdemir, Ecenaz, et al.
Published: (2024)

Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
by: Jelodar, Hamed, et al.
Published: (2025)

LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)

R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning
by: Alam, Md Tanvirul, et al.
Published: (2024)

AsmRAG: LLM-Driven Malware Detection by Retrieving Functionally Similar Assembly Code
by: Karbab, ElMouatez Billah
Published: (2026)

Feature-Oriented IoT Malware Analysis: Extraction, Classification, and Future Directions
by: Qian, Zhuoyun, et al.
Published: (2025)

MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay
by: Rahman, Mohammad Saidur, et al.
Published: (2025)

LLM-Driven SAST-Genius: A Hybrid Static Analysis Framework for Comprehensive and Actionable Security
by: Agrawal, Vaibhav, et al.
Published: (2025)

Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
by: Ipek, Merve Cigdem, et al.
Published: (2025)

Safeguarding LLMs Against Misuse and AI-Driven Malware Using Steganographic Canaries
by: Raz, Md, et al.
Published: (2026)

The Malware as a Service ecosystem
by: Patsakis, Constantinos, et al.
Published: (2024)

Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
by: Li, Adrian Shuai, et al.
Published: (2024)

Malware Detection Through Memory Analysis
by: Nassar, Sarah
Published: (2026)

Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)

Cyber Warfare During Operation Sindoor: Malware Campaign Analysis and Detection Framework
by: Paliwal, Prakhar, et al.
Published: (2025)