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https://doi.org/10.1109/sp.201...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://dx.doi.org/10.60882/ci...
Conference object . 2019
Data sources: Datacite
https://dx.doi.org/10.60882/ci...
Conference object . 2019
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RIDL: Rogue In-Flight Data Load

Authors: Stephan van Schaik; Alyssa Milburn; Sebastian Österlund; Pietro Frigo; Giorgi Maisuradze; Kaveh Razavi; Herbert Bos; +1 Authors

RIDL: Rogue In-Flight Data Load

Abstract

We present Rogue In-flight Data Load (RIDL)1 , a new class of unprivileged speculative execution attacks to leak arbitrary data across address spaces and privilege boundaries (e.g., process, kernel, SGX, and even CPU-internal operations). Our reverse engineering efforts show such vulnerabilities originate from a variety of micro-optimizations pervasive in commodity (Intel) processors, which cause the CPU to speculatively serve loads using extraneous CPU-internal in-flight data (e.g., in the line fill buffers). Contrary to other state-of-the-art speculative execution attacks, such as Spectre, Meltdown and Foreshadow, RIDL can leak this arbitrary in-flight data with no assumptions on the state of the caches or translation data structures controlled by privileged software. The implications are worrisome. First, RIDL attacks can be implemented even from linear execution with no invalid page faults, eliminating the need for exception suppression mechanisms and enabling system-wide attacks from arbitrary unprivileged code (including JavaScript in the browser). To exemplify such attacks, we build a number of practical exploits that leak sensitive information from victim processes, virtual machines, kernel, SGX and CPU-internal components. Second, and perhaps more importantly, RIDL bypasses all existing “spot” mitigations in software (e.g., KPTI, PTE inversion) and hardware (e.g., speculative store bypass disable) and cannot easily be mitigated even by more heavyweight defenses (e.g., L1D flushing or disabling SMT). RIDL questions the sustainability of a per-variant, spot mitigation strategy and suggests more fundamental mitigations are needed to contain everemerging speculative execution attacks.

Country
Netherlands
Keywords

Speculative-execution-attacks, SDG 16 - Peace, Side-channels, Justice and Strong Institutions

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    196
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
196
Top 1%
Top 1%
Top 1%
bronze