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Inferring TLB Configuration with Performance Tools
by
Langehaug, Tor J.
, Graham, Scott R.
, Agredo, Cristian
in
Exploitation
/ Linux
/ Memory Management Unit (MMU)
/ Physical Page Number (PPN)
/ Random access memory
/ Reverse engineering
/ TLB
/ Virtual Page Number (VPN)
2024
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Do you wish to request the book?
Inferring TLB Configuration with Performance Tools
by
Langehaug, Tor J.
, Graham, Scott R.
, Agredo, Cristian
in
Exploitation
/ Linux
/ Memory Management Unit (MMU)
/ Physical Page Number (PPN)
/ Random access memory
/ Reverse engineering
/ TLB
/ Virtual Page Number (VPN)
2024
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Journal Article
Inferring TLB Configuration with Performance Tools
2024
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Overview
Modern computing systems are primarily designed for maximum performance, which inadvertently introduces vulnerabilities at the micro-architecture level. While cache side-channel analysis has received significant attention, other Central Processing Units (CPUs) components like the Translation Lookaside Buffer (TLB) can also be exploited to leak sensitive information. This paper focuses on the TLB, a micro-architecture component that is vulnerable to side-channel attacks. Despite the coarse granularity at the page level, advancements in tools and techniques have made TLB information leakage feasible. The primary goal of this study is not to demonstrate the potential for information leakage from the TLB but to establish a comprehensive framework to reverse engineer the TLB configuration, a critical aspect of side-channel analysis attacks that have previously succeeded in extracting sensitive data. The methodology involves detailed reverse engineering efforts on Intel CPUs, complemented by analytical tools to support TLB reverse engineering. This study successfully reverse-engineered the TLB configurations for Intel CPUs and introduced visual tools for further analysis. These results can be used to explore TLB vulnerabilities in greater depth. However, when attempting to apply the same methodology to the IBM Power9, it became clear that the methodology was not transferable, as mapping functions and performance counters vary across different vendors.
Publisher
MDPI AG
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