Naif Saleh Almakhdhub (Purdue University and King Saud University), Abraham A. Clements (Sandia National Laboratories), Saurabh Bagchi (Purdue University), Mathias Payer (EPFL)

Embedded systems are deployed in security critical environments and have become a prominent target for remote attacks. Microcontroller-based systems (MCUS) are particularly vulnerable due to a combination of limited resources and low level programming which leads to bugs. Since MCUS are often a part of larger systems, vulnerabilities may jeopardize not just the security of the device itself but that of other systems as well. For example, exploiting a WiFi System on Chip (SoC) allows an attacker to hijack the smart phone's application processor.

Control-flow hijacking targeting the backward edge (e.g., Return-Oriented Programming--ROP) remains a threat for MCUS. Current defenses are either susceptible to ROP-style attacks or require special hardware such as a Trusted Execution Environment (TEE) that is not commonly available on MCUS.

We present µRAI, a compiler-based mitigation to emph{prevent} control-flow hijacking attacks targeting backward edges by enforcing the emph{Return Address Integrity (RAI)} property on MCUS. µRAI does not require any additional hardware such as TEE, making it applicable to the wide majority of MCUS. To achieve this, µRAI introduces a technique that moves return addresses from writable memory, to readable and executable memory. It re-purposes a single general purpose register that is never spilled, and uses it to resolve the correct return location. We evaluate against the different control-flow hijacking attacks scenarios targeting return addresses (e.g., arbitrary write), and demonstrate how µRAI prevents them all. Moreover, our evaluation shows that µRAI enforces its protection with negligible overhead.

View More Papers

Detecting Probe-resistant Proxies

Sergey Frolov (University of Colorado Boulder), Jack Wampler (University of Colorado Boulder), Eric Wustrow (University of Colorado Boulder)

Read More

HotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing

William Blair (Boston University), Andrea Mambretti (Northeastern University), Sajjad Arshad (Northeastern University), Michael Weissbacher (Northeastern University), William Robertson (Northeastern University), Engin Kirda (Northeastern University), Manuel Egele (Boston University)

Read More

Broken Metre: Attacking Resource Metering in EVM

Daniel Perez (Imperial College London), Benjamin Livshits (Imperial College London, UCL Centre for Blockchain Technologies, and Brave Software)

Read More

Snappy: Fast On-chain Payments with Practical Collaterals

Vasilios Mavroudis (University College London), Karl Wüst (ETH Zurich), Aritra Dhar (ETH Zurich), Kari Kostiainen (ETH Zurich), Srdjan Capkun (ETH Zurich)

Read More