No-FAT: Architectural Support for Low Overhead Memory Safety Checks
Mohamed Tarek Ibn Ziad, Miguel A. Arroyo, Evgeny Manzhosov, Ryan Piersma, Simha Sethumadhavan
Abstract
Memory safety continues to be a significant software reliability and security problem, and low overhead and low complexity hardware solutions have eluded computer designers. In this paper, we explore a pathway to deployable memory safety defenses. Our technique builds on a recent trend in software: the usage of binning memory allocators. We observe that if memory allocation sizes (e.g., malloc sizes) are made an architectural feature, then it is possible to overcome many of the thorny issues with traditional approaches to memory safety such as compatibility with unsecured software and significant performance degradation. We show that our architecture, No-FAT, incurs an overhead of 8% on SPEC CPU2017 benchmarks, and our VLSI measurements show low power and area overheads. Finally, as No-FAT’s hardware is aware of the memory allocation sizes, it effectively mitigates certain speculative attacks (e.g., Spectre-V1) with no additional cost. When our solution is used for pre-deployment fuzz testing it can improve fuzz testing bandwidth by an order of magnitude compared to state-of-the-art approaches.
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Cited by top-tier papers16
- PACMem: Enforcing Spatial and Temporal Memory Safety via ARM Pointer AuthenticationYuan Li, Wende Tan, Zhizheng Lv, Songtao Yang et al.CCS 2022 · 30 citations
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- ZeRØ: Zero-Overhead Resilient Operation Under Pointer Integrity AttacksMohamed Tarek Ibn Ziad, Miguel A. Arroyo, Evgeny Manzhosov, Simha SethumadhavanISCA 2021 · 17 citations
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Builds on10
- Spectre Attacks: Exploiting Speculative ExecutionPaul Kocher, Jann Horn, Anders Fogh, Daniel Genkin et al.S&P 2019 · 2,435 citations
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- Fuzzing: on the exponential cost of vulnerability discoveryMarcel Böhme, Brandon FalkFSE 2020 · 66 citations
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