SoftFlow: Automated HW-SW Confidentiality Verification for Embedded Processors

RWTH Publications (RWTH Aachen)

Abstract

Despite its ever-increasing impact, security is not considered as a design objective in commercial electronic design automation (EDA) tools. This results in vulnerabilities being overlooked during the software-hardware design process. Specifically, vulnerabilities that allow leakage of sensitive data might stay unnoticed by standard testing, as the leakage itself might not result in evident functional changes. Therefore, EDA tools are needed to elaborate the confidentiality of sensitive data during the design process. However, state-of-the-art implementations either solely consider the hardware or restrict the expressiveness of the security properties that must be proven. Consequently, more proficient tools are required to assist in the software and hardware design. To address this issue, we propose SoftFlow, an EDA tool that allows determining whether a given software exploits existing leakage paths in hardware. Based on our analysis, the leakage paths can be retained if proven not to be exploited by software. This is desirable if the removal significantly impacts the design's performance or functionality, or if the path cannot be removed as the chip is already manufactured. We demonstrate the feasibility of SoftFlow by identifying vulnerabilities in OpenSSL cryptographic C programs, and redesigning them to avoid leakage of cryptographic keys in a RISC-V architecture.

Authors 5

1. Lennart M. Reimann Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Germany,

2. Jonathan Wiesner Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Germany,

3. Dominik Šišejković

   Robert Bosch (Germany)

   Affiliation as printed

   Corporate Research , Robert Bosch GmbH , Germany ,

4. Farhad Merchant

   Newcastle University

   Affiliation as printed

   Newcastle University , UK,

5. Rainer Leupers Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Germany,