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00SEVen - Re-enabling Virtual Machine Forensics: Introspecting Confidential VMs Using Privileged in-VM Agents
Fabian Schwarz, Christian Rossow
Abstract
The security guarantees of confidential VMs (e.g., AMD's SEV) are a double-edged sword: Their protection against undesired VM inspection by malicious or compromised cloud operators inherently renders existing VM introspection (VMI) services infeasible. However, considering that these VMs particularly target sensitive workloads (e.g., finance), their customers demand secure forensic capabilities. In this paper, we enable VM owners to remotely inspect their confidential VMs without weakening the VMs' protection against the cloud platform. In contrast to naïve in-VM memory aggregation tools, our approach (dubbed 00SEVen) is isolated from strong in-VM attackers and thus resistant against kernel-level attacks, and it provides VMI features beyond memory access. 00SEVen leverages the recent intra-VM privilege domains of AMD SEV-SNP-called VMPLs-and extends the QEMU/KVM hypervisor to provide VMPL-aware network I/O and VMI-assisting hypercalls. That way, we can serve VM owners with a protected in-VM forensic agent. The agent provides VM owners with attested remote memory and VM register introspection, secure pausing of the analysis target, and page access traps and function traps, all isolated from the cloud platform (incl. hypervisor) and in-VM rootkits.
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Install the CLIlune papers fulltext af0903af-86b5-41c2-8da9-6c62438b5a2bCited by top-tier papers6
- SCRUTINIZER: Towards Secure Forensics on Compromised TrustZoneYiming Zhang, Fengwei Zhang, Xiapu Luo, Rui Hou et al.NDSS 2025
- Inside Out: A Paradigm Shift in VM IntrospectionDufy Teguia, Louis Duval, Teo Pisenti, Kahina Lazri et al.OSDI 2026
- Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language ModelsChung-ju Huang, Huiqiang Zhao, Yuanpeng He, Lijian Li et al.ACL 2026
- INCOGNITOS: A Practical Unikernel Design for Full-System Obfuscation in Confidential Virtual MachinesKha Dinh Duy, Jaeyoon Kim, Hajeong Lim, Hojoon LeeS&P 2025
- CoKeMon: Configurable Kernel Monitoring by Decoupling IsolationClément Thorens, Shweta ShindeUSENIX Security 2026
Builds on14
- Exploiting Unprotected I/O Operations in AMD's Secure Encrypted VirtualizationMengyuan Li, Yinqian Zhang, Zhiqiang Lin, Yan SolihinUSENIX Security 2019 · 104 citations
- A Systematic Look at Ciphertext Side Channels on AMD SEV-SNPMengyuan Li, Luca Wilke, Jan Wichelmann, Thomas Eisenbarth et al.S&P 2022 · 87 citations
- SEVurity: No Security Without Integrity : Breaking Integrity-Free Memory Encryption with Minimal AssumptionsLuca Wilke, Jan Wichelmann, Mathias Morbitzer, Thomas EisenbarthS&P 2020 · 72 citations
- CrossLine: Breaking "Security-by-Crash" based Memory Isolation in AMD SEVMengyuan Li, Yinqian Zhang, Zhiqiang LinCCS 2021 · 41 citations
- Seeing Through The Same Lens: Introspecting Guest Address Space At Native SpeedSiqi Zhao, Xuhua Ding, Wen Xu, Dawu GuUSENIX Security 2017 · 18 citations
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