Jonas Juffinger (Graz University of Technology), Fabian Rauscher (Graz University of Technology), Giuseppe La Manna (Amazon), Daniel Gruss (Graz University of Technology)

Covert channels and side channels bypass architectural security boundaries. Numerous works have studied covert channels and side channels in software and hardware. Thus, research on covert-channel and side-channel mitigations relies on the discovery of leaky hardware and software components.

In this paper, we perform the first study of timing channels inside modern commodity off-the-shelf SSDs. We systematically analyze the behavior of NVMe PCIe SSDs with concurrent workloads. We observe that exceeding the maximum I/O operations of the SSD leads to significant latency spikes. We narrow down the number of I/O operations required to still induce latency spikes on 12 different SSDs. Our results show that a victim process needs to read at least 8 to 128 blocks to be still detectable by an attacker. Based on these experiments, we show that an attacker can build a covert channel, where the sender encodes secret bits into read accesses to unrelated blocks, inaccessible to the receiver. We demonstrate that this covert channel works across different systems and different SSDs, even from processes running inside a virtual machine. Our unprivileged SSD covert channel achieves a true capacity of up to 1503 bit/s while it works across virtual machines (cross-VM) and is agnostic to operating system versions, as well as other hardware characteristics such as CPU or DRAM. Given the coarse granularity of the SSD timing channel, we evaluate it as a side channel in an open-world website fingerprinting attack over the top 100 websites. We achieve an F1 score of up to 97.0. This shows that the leakage goes beyond covert communication and can leak highly sensitive information from victim users. Finally, we discuss the root cause of the SSD timing channel and how it can be mitigated.

View More Papers

VoiceRadar: Voice Deepfake Detection using Micro-Frequency and Compositional Analysis

Kavita Kumari (Technical University of Darmstadt), Maryam Abbasihafshejani (University of Texas at San Antonio), Alessandro Pegoraro (Technical University of Darmstadt), Phillip Rieger (Technical University of Darmstadt), Kamyar Arshi (Technical University of Darmstadt), Murtuza Jadliwala (University of Texas at San Antonio), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

Read More

Alba: The Dawn of Scalable Bridges for Blockchains

Giulia Scaffino (TU Wien), Lukas Aumayr (TU Wien), Mahsa Bastankhah (Princeton University), Zeta Avarikioti (TU Wien), Matteo Maffei (TU Wien)

Read More

Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon

Xuanji Meng (Tsinghua University), Xiao Sui (Shandong University), Zhaoxin Yang (Tsinghua University), Kang Rong (Blockchain Platform Division,Ant Group), Wenbo Xu (Blockchain Platform Division,Ant Group), Shenglong Chen (Blockchain Platform Division,Ant Group), Ying Yan (Blockchain Platform Division,Ant Group), Sisi Duan (Tsinghua University)

Read More

No Source Code? No Problem! Twenty Years of Research...

Jack W. Davidson, Professor of Computer Science in the School of Engineering and Applied Science, University of Virginia

Read More