Cover Image

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yufan, Wu, Daoyuan, Zhong, Juantao, Zhang, Zicheng, Gao, Debin, Wang, Shuai, Li, Yingjiu, Liu, Ning, Chen, Jiachi, Chang, Rocky K. C.
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
by: Sun, Yuqiang, et al.
Published: (2024)

MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols
by: Yang, Yixuan, et al.
Published: (2025)

Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts
by: Zhang, Jiashuo, et al.
Published: (2024)

Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing
by: Zheng, Xinran, et al.
Published: (2025)

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
by: Yang, Shuo, et al.
Published: (2024)

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
by: Ning, Kaiwen, et al.
Published: (2024)

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)

One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts
by: Wang, Zexu, et al.
Published: (2025)

Automated TEE Adaptation with LLMs: Identifying, Transforming, and Porting Sensitive Functions in Programs
by: Han, Ruidong, et al.
Published: (2025)

ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts
by: Zhang, Lyuye, et al.
Published: (2024)

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
by: Wang, Zexu, et al.
Published: (2024)

SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection
by: Su, Jianzhong, et al.
Published: (2024)

Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)

MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)

A Study of Malware Prevention in Linux Distributions
by: Vu, Duc-Ly, et al.
Published: (2024)

RiskTagger: An LLM-based Agent for Automatic Annotation of Web3 Crypto Money Laundering Behaviors
by: Lin, Dan, et al.
Published: (2025)

Fine-Tuning LLMs for Code Mutation: A New Era of Cyber Threats
by: Setak, Mohammad, et al.
Published: (2024)

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem
by: Song, Hao, et al.
Published: (2025)

RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
by: Wang, Yanlin, et al.
Published: (2026)

Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)

BIDO: An Out-Of-Distribution Resistant Image-based Malware Detector
by: Wang, Wei, et al.
Published: (2025)

MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)

A Time Series Analysis of Malware Uploads to Programming Language Ecosystems
by: Ruohonen, Jukka, et al.
Published: (2025)

Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
by: Li, Yao, et al.
Published: (2024)

MalCVE: Malware Detection and CVE Association Using Large Language Models
by: Cristea, Eduard Andrei, et al.
Published: (2025)

MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization
by: Lu, Haolang, et al.
Published: (2024)

Detecting Various DeFi Price Manipulations with LLM Reasoning
by: Zhong, Juantao, et al.
Published: (2025)

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

A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
by: Tan, Kai, et al.
Published: (2025)

Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection
by: Edwards, George, et al.
Published: (2026)

Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
by: Zhang, Ying, et al.
Published: (2024)

FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)

Six Million (Suspected) Fake Stars in GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware
by: He, Hao, et al.
Published: (2024)

Policy-Governed RAG - Research Design Study
by: Ray, Jean-Marie Le
Published: (2025)

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)

APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
by: Yin, Zhenhao, et al.
Published: (2025)

LLMs as Firmware Experts: A Runtime-Grown Tree-of-Agents Framework
by: Zhang, Xiangrui, et al.
Published: (2025)

SOSecure: Safer Code Generation with RAG and StackOverflow Discussions
by: Mukherjee, Manisha, et al.
Published: (2025)

SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
by: Wang, Xunguang, et al.
Published: (2024)

DITING: A Static Analyzer for Identifying Bad Partitioning Issues in TEE Applications
by: Ma, Chengyan, et al.
Published: (2025)