Stefan Gast (Graz University of Technology), Hannes Weissteiner (Graz University of Technology), Robin Leander Schröder (Fraunhofer SIT, Darmstadt, Germany and Fraunhofer Austria, Vienna, Austria), Daniel Gruss (Graz University of Technology)

Confidential virtual machines (VMs) promise higher security by running the VM inside a trusted execution environment (TEE). Recent AMD server processors support confidential VMs with the SEV-SNP processor extension. SEV-SNP provides guarantees for integrity and confidentiality for confidential VMs despite running them in a shared hosting environment.

In this paper, we introduce CounterSEVeillance, a new side-channel attack leaking secret-dependent control flow and operand properties from performance counter data. Our attack is the first to exploit performance counter side-channel leakage with single-instruction resolution from SEV-SNP VMs and works on fully patched systems. We systematically analyze performance counter events in SEV-SNP VMs and find that 228 are exposed to a potentially malicious hypervisor. CounterSEVeillance builds on this analysis and records performance counter traces with an instruction-level resolution by single-stepping the victim VM using APIC interrupts in combination with page faults. We match CounterSEVeillance traces against binaries, precisely recovering the outcome of any secret-dependent conditional branch and inferring operand properties. We present four attack case studies, in which we exemplarily showcase concrete exploitable leakage with 6 of the exposed performance counters. First, we use CounterSEVeillance to extract a full RSA-4096 key from a single Mbed TLS signature process in less than 8 minutes. Second, we present the first side-channel attack on TOTP verification running in an AMD SEV-SNP VM, recovering a 6-digit TOTP with only 31.1 guesses on average. Third, we show that CounterSEVeillance can leak the secret key from which the TOTPs are derived from the underlying base32 decoder. Fourth and finally, we show that CounterSEVeillance can also be used to construct a plaintext-checking oracle in a divide-and-surrender-style attack. We conclude that moving an entire VM into a setting with a privileged adversary increases the attack surface, given the vast amounts of code not vetted for this specific security setting.

View More Papers

EAGLEYE: Exposing Hidden Web Interfaces in IoT Devices via...

Hangtian Liu (Information Engineering University), Lei Zheng (Institute for Network Sciences and Cyberspace (INSC), Tsinghua University), Shuitao Gan (Laboratory for Advanced Computing and Intelligence Engineering), Chao Zhang (Institute for Network Sciences and Cyberspace (INSC), Tsinghua University), Zicong Gao (Information Engineering University), Hongqi Zhang (Henan Key Laboratory of Information Security), Yishun Zeng (Institute for Network Sciences…

Read More

On-demand RFID: Improving Privacy, Security, and User Trust in...

Youngwook Do (JPMorganChase and Georgia Institute of Technology), Tingyu Cheng (Georgia Institute of Technology and University of Notre Dame), Yuxi Wu (Georgia Institute of Technology and Northeastern University), HyunJoo Oh(Georgia Institute of Technology), Daniel J. Wilson (Northeastern University), Gregory D. Abowd (Northeastern University), Sauvik Das (Carnegie Mellon University)

Read More

Provably Unlearnable Data Examples

Derui Wang (CSIRO's Data61), Minhui Xue (CSIRO's Data61), Bo Li (The University of Chicago), Seyit Camtepe (CSIRO's Data61), Liming Zhu (CSIRO's Data61)

Read More

Density Boosts Everything: A One-stop Strategy for Improving Performance,...

Jianwen Tian (Academy of Military Sciences), Wei Kong (Zhejiang Sci-Tech University), Debin Gao (Singapore Management University), Tong Wang (Academy of Military Sciences), Taotao Gu (Academy of Military Sciences), Kefan Qiu (Beijing Institute of Technology), Zhi Wang (Nankai University), Xiaohui Kuang (Academy of Military Sciences)

Read More