English

Osiris: Automated Discovery of Microarchitectural Side Channels

Cryptography and Security 2021-06-08 v1

Abstract

In the last years, a series of side channels have been discovered on CPUs. These side channels have been used in powerful attacks, e.g., on cryptographic implementations, or as building blocks in transient-execution attacks such as Spectre or Meltdown. However, in many cases, discovering side channels is still a tedious manual process. In this paper, we present Osiris, a fuzzing-based framework to automatically discover microarchitectural side channels. Based on a machine-readable specification of a CPU's ISA, Osiris generates instruction-sequence triples and automatically tests whether they form a timing-based side channel. Furthermore, Osiris evaluates their usability as a side channel in transient-execution attacks, i.e., as the microarchitectural encoding for attacks like Spectre. In total, we discover four novel timing-based side channels on Intel and AMD CPUs. Based on these side channels, we demonstrate exploitation in three case studies. We show that our microarchitectural KASLR break using non-temporal loads, FlushConflict, even works on the new Intel Ice Lake and Comet Lake microarchitectures. We present a cross-core cross-VM covert channel that is not relying on the memory subsystem and transmits up to 1 kbit/s. We demonstrate this channel on the AWS cloud, showing that it is stealthy and noise resistant. Finally, we demonstrate Stream+Reload, a covert channel for transient-execution attacks that, on average, allows leaking 7.83 bytes within a transient window, improving state-of-the-art attacks that only leak up to 3 bytes.

Keywords

Cite

@article{arxiv.2106.03470,
  title  = {Osiris: Automated Discovery of Microarchitectural Side Channels},
  author = {Daniel Weber and Ahmad Ibrahim and Hamed Nemati and Michael Schwarz and Christian Rossow},
  journal= {arXiv preprint arXiv:2106.03470},
  year   = {2021}
}

Comments

Will be published at USENIX Security'21

R2 v1 2026-06-24T02:54:14.579Z