Copertina

HardTaint: Production-Run Dynamic Taint Analysis via Selective Hardware Tracing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Yiyu, Liu, Tianyi, Wang, Yueyang, Qi, Yun, Ji, Kai, Tang, Jian, Wang, Xiaoliang, Li, Xuandong, Zuo, Zhiqiang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security Programming Languages Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Harnessing the Power of LLM to Support Binary Taint Analysis
di: Liu, Puzhuo, et al.
Pubblicazione: (2023)

Multi-Agent Taint Specification Extraction for Vulnerability Detection
di: Ghebremichael, Jonah, et al.
Pubblicazione: (2026)

YASA: Scalable Multi-Language Taint Analysis on the Unified AST at Ant Group
di: Wang, Yayi, et al.
Pubblicazione: (2026)

ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference
di: Xie, Yuchong, et al.
Pubblicazione: (2025)

Dynamic Taint Tracking using Partial Instrumentation for Java Applications
di: Thakur, Manoj RameshChandra
Pubblicazione: (2024)

LuaTaint: A Static Analysis System for Web Configuration Interface Vulnerability of Internet of Things Devices
di: Xiang, Jiahui, et al.
Pubblicazione: (2024)

Taint Analysis for Graph APIs Focusing on Broken Access Control
di: Lambers, Leen, et al.
Pubblicazione: (2025)

Artemis: Toward Accurate Detection of Server-Side Request Forgeries through LLM-Assisted Inter-Procedural Path-Sensitive Taint Analysis
di: Ji, Yuchen, et al.
Pubblicazione: (2025)

Learning to Triage Taint Flows Reported by Dynamic Program Analysis in Node.js Packages
di: Ni, Ronghao, et al.
Pubblicazione: (2025)

Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning
di: Ni, Ronghao, et al.
Pubblicazione: (2026)

STAFF: Stateful Taint-Assisted Full-system Firmware Fuzzing
di: Izzillo, Alessio, et al.
Pubblicazione: (2025)

TaintSentinel: Path-Level Randomness Vulnerability Detection for Ethereum Smart Contracts
di: Rezaei, Hadis, et al.
Pubblicazione: (2025)

Taint-Based Code Slicing for LLMs-based Malicious NPM Package Detection
di: Nguyen, Dang-Khoa, et al.
Pubblicazione: (2025)

VIPER-MCP: Detecting and Exploiting Taint-Style Vulnerabilities in Model Context Protocol Servers
di: Sun, Pengyu, et al.
Pubblicazione: (2026)

AUTOVR: Automated UI Exploration for Detecting Sensitive Data Flow Exposures in Virtual Reality Apps
di: Kim, John Y., et al.
Pubblicazione: (2025)

Patch2QL: Discover Cognate Defects in Open Source Software Supply Chain With Auto-generated Static Analysis Rules
di: Wang, Fuwei, et al.
Pubblicazione: (2024)

TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum
di: Wang, Shuzheng, et al.
Pubblicazione: (2025)

Automated Attack Synthesis for Constant Product Market Makers
di: Han, Sujin, et al.
Pubblicazione: (2024)

SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
di: Hu, Qi, et al.
Pubblicazione: (2026)

Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?
di: Nguyen, Huu Hung, et al.
Pubblicazione: (2025)

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

AutoVulnPHP: LLM-Powered Two-Stage PHP Vulnerability Detection and Automated Localization
di: Wang, Zhiqiang, et al.
Pubblicazione: (2026)

Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Hard-to-Learn Data
di: Lan, Xiang, et al.
Pubblicazione: (2025)

"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development
di: Pan, Shidong, et al.
Pubblicazione: (2024)

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space
di: Chen, Chuyang, et al.
Pubblicazione: (2025)

Tracing Vulnerability Propagation Across Open Source Software Ecosystems
di: Ruohonen, Jukka, et al.
Pubblicazione: (2025)

Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems
di: Lin, Dan, et al.
Pubblicazione: (2025)

SCAFFOLD-CEGIS: Preventing Latent Security Degradation in LLM-Driven Iterative Code Refinement
di: Chen, Yi, et al.
Pubblicazione: (2026)

Scheduzz: Constraint-based Fuzz Driver Generation with Dual Scheduling
di: Li, Yan, et al.
Pubblicazione: (2025)

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
di: Zhao, Jian, et al.
Pubblicazione: (2024)

Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements
di: Wang, Huaijin, et al.
Pubblicazione: (2024)

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

Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
di: Qi, Weiliang, et al.
Pubblicazione: (2024)

Agentic Fuzzing: Opportunities and Challenges
di: Park, Junyoung, et al.
Pubblicazione: (2026)

INSTILLER: Towards Efficient and Realistic RTL Fuzzing
di: Zhang, Gen, et al.
Pubblicazione: (2024)

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

SCRUTINEER: Detecting Logic-Level Usage Violations of Reusable Components in Smart Contracts
di: Lin, Xingshuang, et al.
Pubblicazione: (2025)

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
di: Zhang, Gen, et al.
Pubblicazione: (2024)

Tech-ASan: Two-stage check for Address Sanitizer
di: Cao, Yixuan, et al.
Pubblicazione: (2025)

Evaluating Large Language Models for Line-Level Vulnerability Localization
di: Zhang, Jian, et al.
Pubblicazione: (2024)