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Moe Mahhouk

Publications and source records attributed to Moe Mahhouk.

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Proof of Cloud: Data Center Execution Assurance for Confidential VMs

Confidential Virtual Machines (CVMs) protect data in use by running workloads within hardware-enforced Trusted Execution Environments (TEEs). However, existing CVM attestation mechanisms only certify what code is running, not where it is running. Commercial TEEs mitigate passive physical attacks through memory encryption but explicitly exclude active hardware tampering (memory interposers, physical side channels, ...). Yet current attestations provide no cryptographic evidence that a CVM executes on hardware residing within a trusted data center where such attacks would not take place. This gap enables proxy attacks in which valid attestations are combined across machines to falsely attest trusted execution. To bridge this gap, we introduce Data Center Execution Assurance (DCEA), a design that generates a cryptographic Proof of Cloud by binding CVM attestation to platform-level Trusted Platform Module (TPM) evidence. DCEA combines two independent roots of trust. First, the TEE manufacturer, and second, the infrastructure provider, by cross-linking runtime TEE measurements with the vTPM-measured boot CVM state. This binding ensures that CVM execution, vTPM quotes, and platform provenance all originate from the same physical chassis. We formalize the environment's provenance and show that DCEA prevents advanced relay attacks, including a novel mix-and-match proxy attack. Using the AGATE framework in the Universal Composability model, we prove that DCEA emulates an ideal location-aware TEE even under a malicious host software stack. We implement DCEA on Google Cloud bare-metal Intel TDX instances using Intel TXT and evaluate its performance, demonstrating practical overheads and deployability. DCEA refines the CVM threat model and enables verifiable execution-location guarantees for privacy-sensitive workloads.

cs.CR

Narrowing the Gap between TEEs Threat Model and Deployment Strategies

Confidential Virtual Machines (CVMs) provide isolation guarantees for data in use, but their threat model does not include physical level protection and side-channel attacks. Therefore, current deployments rely on trusted cloud providers to host the CVMs' underlying infrastructure. However, TEE attestations do not provide information about the operator hosting a CVM. Without knowing whether a Trusted Execution Environment (TEE) runs within a provider's infrastructure, a user cannot accurately assess the risks of physical attacks. We observe a misalignment in the threat model where the workloads are protected against other tenants but do not offer end-to-end security assurances to external users without relying on cloud providers. The attestation should be extended to bind the CVM with the provider. A possible solution can rely on the Protected Platform Identifier (PPID), a unique CPU identifier. However, the implementation details of various TEE manufacturers, attestation flows, and providers vary. This makes verification of attestations, ease of migration, and building applications without relying on a trusted party challenging, highlighting a key limitation that must be addressed for the adoption of CVMs. We discuss two points focusing on hardening and extensions of TEEs' attestation.

cs.CR