A Systematic Evaluation of Transient Execution Attacks and Defenses
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Abstract (arXiv)
Research on transient execution attacks including Spectre and Meltdown showed that exception or branch misprediction events might leave secret-dependent traces in the CPU's microarchitectural state. This observation led to a proliferation of new Spectre and Meltdown attack variants and even more ad-hoc defenses (e.g., microcode and software patches). Both the industry and academia are now focusing on finding effective defenses for known issues. However, we only have limited insight on residual attack surface and the completeness of the proposed defenses. In this paper, we present a systematization of transient execution attacks. Our systematization uncovers 6 (new) transient execution attacks that have been overlooked and not been investigated so far: 2 new exploitable Meltdown effects: Meltdown-PK (Protection Key Bypass) on Intel, and Meltdown-BND (Bounds Check Bypass) on Intel and AMD; and 4 new Spectre mistraining strategies. We evaluate the attacks in our classification tree through proof-of-concept implementations on 3 major CPU vendors (Intel, AMD, ARM). Our systematization yields a more complete picture of the attack surface and allows for a more systematic evaluation of defenses. Through this systematic evaluation, we discover that most defenses, including deployed ones, cannot fully mitigate all attack variants.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Nov 2018.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
4 papers.
- 2023ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patchingcited by 6
- 2022MAD-EN: Microarchitectural Attack Detection through System-wide Energy Consumptioncited by 0
- 2025Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learningcited by 0
- 2026Qubes OS Security in the Public Recordcited by 0
- 2026Qubes OS Security in the Public Record16 Jul 2026
- 2025Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learning9 Jul 2025
- 2023ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching24 Aug 2023
- 2022MAD-EN: Microarchitectural Attack Detection through System-wide Energy Consumption31 May 2022