Image de couverture de livre

Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xuan, Zhou, Xu, Xiangzhe, Zheng, Mingwei, Tan, Louis Zheng-Hua, Guo, Jinyao, Zhang, Tiantai, Yu, Le, Wang, Chengpeng, Zhang, Xiangyu
Format:	Preprint
Publié:	2026
Sujets:	Cryptography and Security Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ProSec: Fortifying Code LLMs with Proactive Security Alignment
par: Xu, Xiangzhe, et autres
Publié: (2024)

Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
par: Zhang, Ying, et autres
Publié: (2024)

Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety
par: Chen, Xuan, et autres
Publié: (2026)

Extracting Protocol Format as State Machine via Controlled Static Loop Analysis
par: Shi, Qingkai, et autres
Publié: (2023)

A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
par: Tan, Kai, et autres
Publié: (2025)

Harnessing the Power of LLM to Support Binary Taint Analysis
par: Liu, Puzhuo, et autres
Publié: (2023)

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants
par: Xu, Xiangzhe, et autres
Publié: (2025)

An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
par: Zhan, Dongyang, et autres
Publié: (2025)

FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
par: Hu, Minghao, et autres
Publié: (2025)

Unveiling Dynamic Binary Instrumentation Techniques
par: Llorente-Vazquez, Oscar, et autres
Publié: (2025)

MARD: A Multi-Agent Framework for Robust Android Malware Detection
par: Zeng, Xueying, et autres
Publié: (2026)

Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
par: Meng, Zhaoyi, et autres
Publié: (2024)

Assessing the Effectiveness of Binary-Level CFI Techniques
par: Vaidya, Ruturaj K., et autres
Publié: (2024)

RFCAudit: An LLM Agent for Functional Bug Detection in Network Protocols
par: Zheng, Mingwei, et autres
Publié: (2025)

MASKDROID: Robust Android Malware Detection with Masked Graph Representations
par: Zheng, Jingnan, et autres
Publié: (2024)

ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
par: Wu, Jiangrong, et autres
Publié: (2026)

Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection
par: Edwards, George, et autres
Publié: (2026)

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
par: Song, Shiwen, et autres
Publié: (2025)

Zero-Permission Manipulation: Can We Trust Large Multimodal Model Powered GUI Agents?
par: Qian, Yi, et autres
Publié: (2026)

Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
par: Li, Yao, et autres
Publié: (2024)

APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
par: Yin, Zhenhao, et autres
Publié: (2025)

MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation
par: Yan, Lu, et autres
Publié: (2025)

RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
par: Wang, Yanlin, et autres
Publié: (2026)

From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
par: Han, Junxiao, et autres
Publié: (2025)

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

Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations
par: Bostani, Hamid, et autres
Publié: (2024)

A Study of Malware Prevention in Linux Distributions
par: Vu, Duc-Ly, et autres
Publié: (2024)

MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization
par: Lu, Haolang, et autres
Publié: (2024)

A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners
par: Shi, Jingyi, et autres
Publié: (2025)

Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
par: He, Ping, et autres
Publié: (2025)

Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing
par: Zheng, Xinran, et autres
Publié: (2025)

RiskTagger: An LLM-based Agent for Automatic Annotation of Web3 Crypto Money Laundering Behaviors
par: Lin, Dan, et autres
Publié: (2025)

Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries
par: Zheng, Xinran, et autres
Publié: (2026)

Implicit Patterns in LLM-Based Binary Analysis
par: Li, Qiang, et autres
Publié: (2026)

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
par: Yang, Shuo, et autres
Publié: (2024)

BIDO: An Out-Of-Distribution Resistant Image-based Malware Detector
par: Wang, Wei, et autres
Publié: (2025)

LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM Requests
par: Agyemang, Justice Owusu, et autres
Publié: (2026)

What Makes a Good LLM Agent for Real-world Penetration Testing?
par: Deng, Gelei, et autres
Publié: (2026)

AutoFirm: Automatically Identifying Reused Libraries inside IoT Firmware at Large-Scale
par: Chen, YongLe, et autres
Publié: (2024)

SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
par: Hu, Qi, et autres
Publié: (2026)