Malware Analysis

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Scoured 15 posts in 6.7 ms

MalTree: Tracing Malware Evolution from Embeddings at Scale

 🔄Reverse Engineering  Content type: Academic
arxiv.org·

REStack: A Large-Scale Dataset of Reverse Engineering Discussions from Stack Exchange

 🔄Reverse Engineering  Content type: Academic
arxiv.org·

The Sound of Malware: A Memory Forensics Approach for Android Malware Analysis via Audio Signals

 🔍Memory Forensics  Content type: Academic
arxiv.org·

CRESS: Quantifying Vulnerabilities of Attack Scenarios in Hardware Reverse Engineering

 🔄Reverse Engineering  Content type: Academic
arxiv.org·

LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics

 🔄Reverse Engineering  Content type: Academic
arxiv.org·

TIBlender: Early-Warning Threat Intelligence from Cross-Platform Social Media Evidence

 🎯Taint Analysis  Content type: Academic
arxiv.org·

Relocate and Emulate: Re-Hosting Android's Application Layer

 🔍Program Analysis  Content type: Academic
arxiv.org·

Synthetic APTs: the Collapse of TTP-Based Attribution

 🔣Type Systems  Content type: Academic
arxiv.org·

FusionVul: A Multimodal Feature Fusion Framework for Source Code Vulnerability Detection

 🔍Program Analysis  Content type: Academic
arxiv.org·

An Opticalmechanics Framework for Dynamic Estimation of Multibody Systems

 🔍Program Analysis  Content type: Academic
arxiv.org·

Description-Code Inconsistency in Real-world MCP Servers: Measurement, Detection, and Security Implications

 🔍Program Analysis  Content type: Academic
arxiv.org·

AutoSUT: The Environment Semantics Gap in Structured CTI for Adversary Emulation

 🛡️Vulnerability Research  Content type: Academic
arxiv.org·

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

 🛡️Vulnerability Research  Content type: Academic
arxiv.org·

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs

 ⚙️Compilers  Content type: Academic
arxiv.org·

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

 🔣Type Systems  Content type: Academic
arxiv.org·

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