Cover Image

WeSee: Using Malicious #VC Interrupts to Break AMD SEV-SNP

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schlüter, Benedict, Sridhara, Supraja, Bertschi, Andrin, Shinde, Shweta
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

Heckler: Breaking Confidential VMs with Malicious Interrupts
by: Schlüter, Benedict, et al.
Published: (2024)

SIGY: Breaking Intel SGX Enclaves with Malicious Exceptions & Signals
by: Sridhara, Supraja, et al.
Published: (2024)

Devlore: Device Interrupt Protection for Confidential VMs
by: Bertschi, Andrin, et al.
Published: (2024)

Aster: Fixing the Android TEE Ecosystem with Arm CCA
by: Kuhne, Mark, et al.
Published: (2024)

OpenCCA: An Open Framework to Enable Arm CCA Research
by: Bertschi, Andrin, et al.
Published: (2025)

Formal Security Analysis of the AMD SEV-SNP Software Interface
by: Paradžik, Petar, et al.
Published: (2024)

SNPGuard: Remote Attestation of SEV-SNP VMs Using Open Source Tools
by: Wilke, Luca, et al.
Published: (2024)

Lost in the Pages: WebAssembly Code Recovery through SEV-SNP's Exposed Address Space
by: Berthilsson, Markus, et al.
Published: (2025)

Dorami: Privilege Separating Security Monitor on RISC-V TEEs
by: Kuhne, Mark, et al.
Published: (2024)

An Experimental Evaluation of TEE technology Evolution: Benchmarking Transparent Approaches based on SGX, SEV, and TDX
by: Coppolino, Luigi, et al.
Published: (2024)

Rolling in the Shadows: Analyzing the Extraction of MEV Across Layer-2 Rollups
by: Torres, Christof Ferreira, et al.
Published: (2024)

Towards Practical Fabrication Stage Attacks Using Interrupt-Resilient Hardware Trojans
by: Moschos, Athanasios, et al.
Published: (2024)

Towards Classifying Benign And Malicious Packages Using Machine Learning
by: Nguyen, Thanh-Cong, et al.
Published: (2025)

Malicious GenAI Chrome Extensions: Unpacking Data Exfiltration and Malicious Behaviours
by: Seetharam, Shresta B., et al.
Published: (2025)

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

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
by: Liang, Zhihong, et al.
Published: (2025)

Quantifying Psychological Sophistication of Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)

AEX-NStep: Probabilistic Interrupt Counting Attacks on Intel SGX
by: Dutly, Nicolas, et al.
Published: (2025)

Practical Reasoning Interruption Attacks on Reasoning Large Language Models
by: Cui, Yu, et al.
Published: (2025)

Advancing Malicious Website Identification: A Machine Learning Approach Using Granular Feature Analysis
by: Tran, Kinh, et al.
Published: (2024)

Malicious Package Detection using Metadata Information
by: Halder, S., et al.
Published: (2024)

A Study on Malicious Browser Extensions in 2025
by: Singh, Shreya, et al.
Published: (2025)

Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns
by: Pathade, Chetan, et al.
Published: (2025)

Characterizing the Evolution of Psychological Factors Exploited by Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)

MalTool: Malicious Tool Attacks on LLM Agents
by: Hu, Yuepeng, et al.
Published: (2026)

Attack Effect Model based Malicious Behavior Detection
by: Wang, Limin, et al.
Published: (2025)

Malicious Internet Entity Detection Using Local Graph Inference
by: Mandlik, Simon, et al.
Published: (2024)

RoBERTa-Augmented Synthesis for Detecting Malicious API Requests
by: Aharon, Udi, et al.
Published: (2024)

Detecting Malicious Accounts in Web3 through Transaction Graph
by: Li, Wenkai, et al.
Published: (2024)

USBIPS Framework: Protecting Hosts from Malicious USB Peripherals
by: Wang, Chun-Yi, et al.
Published: (2024)

Characterizing the Evolution of Psychological Tactics and Techniques Exploited by Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)

Towards Browser Controls to Protect Cookies from Malicious Extensions
by: Tyler, Liam, et al.
Published: (2024)

The Pulse of Fileless Cryptojacking Attacks: Malicious PowerShell Scripts
by: Varlioglu, Said, et al.
Published: (2024)

Malicious Code Detection in Smart Contracts via Opcode Vectorization
by: Zou, Huanhuan, et al.
Published: (2025)

SCAMPER -- Synchrophasor Covert chAnnel for Malicious and Protective ERrands
by: Krishnamurthy, Prashanth, et al.
Published: (2025)

PhishSigma++: Malicious Email Detection with Typed Entity Relations
by: Shang, Shang, et al.
Published: (2026)

FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments
by: Wang, Fuyi, et al.
Published: (2025)

Universally Composable Commitments with Communicating Malicious Physically Uncloneable Functions
by: Abecasis, Lourenço, et al.
Published: (2025)

Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
by: Zhao, Yangheng, et al.
Published: (2023)

Identification of Malicious Posts on the Dark Web Using Supervised Machine Learning
by: Filho, Sebastião Alves de Jesus, et al.
Published: (2025)