Jason Zhijingcheng Yu

h-index2
2papers
43citations

2 Papers

12.3CROct 13, 2021
SmashEx: Smashing SGX Enclaves Using Exceptions

Jinhua Cui, Jason Zhijingcheng Yu, Shweta Shinde et al.

Exceptions are a commodity hardware functionality which is central to multi-tasking OSes as well as event-driven user applications. Normally, the OS assists the user application by lifting the semantics of exceptions received from hardware to program-friendly user signals and exception handling interfaces. However, can exception handlers work securely in user enclaves, such as those enabled by Intel SGX, where the OS is not trusted by the enclave code? In this paper, we introduce a new attack called SmashEx which exploits the OS-enclave interface for asynchronous exceptions in SGX. It demonstrates the importance of a fundamental property of safe atomic execution that is required on this interface. In the absence of atomicity, we show that asynchronous exception handling in SGX enclaves is complicated and prone to re-entrancy vulnerabilities. Our attacks do not assume any memory errors in the enclave code, side channels, or application-specific logic flaws. We concretely demonstrate exploits that cause arbitrary disclosure of enclave private memory and code-reuse (ROP) attacks in the enclave. We show reliable exploits on two widely-used SGX runtimes, Intel SGX SDK and Microsoft Open Enclave, running OpenSSL and cURL libraries respectively. We tested a total of 14 frameworks, including Intel SGX SDK and Microsoft Open Enclave, 10 of which are vulnerable. We discuss how the vulnerability manifests on both SGX1-based and SGX2-based platforms. We present potential mitigation and long-term defenses for SmashEx.

15.4CROct 16, 2020
Elasticlave: An Efficient Memory Model for Enclaves

Zhijingcheng Yu, Shweta Shinde, Trevor E. Carlson et al.

Trusted-execution environments (TEE), like Intel SGX, isolate user-space applications into secure enclaves without trusting the OS. Thus, TEEs reduce the trusted computing base, but add one to two orders of magnitude slow-down. The performance cost stems from a strict memory model, which we call the spatial isolation model, where enclaves cannot share memory regions with each other. In this work, we present Elasticlave---a new TEE memory model that allows enclaves to selectively and temporarily share memory with other enclaves and the OS. Elasticlave eliminates the need for expensive data copy operations, while offering the same level of application-desired security as possible with the spatial model. We prototype Elasticlave design on an RTL-designed cycle-level RISC-V core and observe 1 to 2 orders of magnitude performance improvements over the spatial model implemented with the same processor configuration. Elasticlave has a small TCB. We find that its performance characteristics and hardware area footprint scale well with the number of shared memory regions it is configured to support.