StackSpecter: Detecting Stack Buffer Overflows for the Xtensa Architecture

This paper presents a new approach, StackSpecter, for stack buffer overflow detection, specifically for architectures with register windows. It uses a combination of plausibility checks for stack pointers and obfuscation using a secret XOR key. This combination allows it to give similar security guar-antees as stack canaries but without the need of adjustments to the stack frame layout. StackSpecter was implemented by modifying the FreeRTOS operating system of a ESP32 microcontroller. The performance overhead was evaluated using BEEBS, showing an average overhead of only 0.114%, a large improvement compared to stack canaries, and a worst-case overhead of 64.854% compared to an unprotected application.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/itnac62915.2024.10815333
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

StackSpecter: Detecting Stack Buffer Overflows for the Xtensa Architecture

Kai Lehniger, Peter Langendörfer
Parallel Computing and Optimization Techniques
article

StackSpecter: Detecting Stack Buffer Overflows for the Xtensa Architecture

Kai Lehniger, Peter Langendörfer
article en

Abstract

This paper presents a new approach, StackSpecter, for stack buffer overflow detection, specifically for architectures with register windows. It uses a combination of plausibility checks for stack pointers and obfuscation using a secret XOR key. This combination allows it to give similar security guar-antees as stack canaries but without the need of adjustments to the stack frame layout. StackSpecter was implemented by modifying the FreeRTOS operating system of a ESP32 microcontroller. The performance overhead was evaluated using BEEBS, showing an average overhead of only 0.114%, a large improvement compared to stack canaries, and a worst-case overhead of 64.854% compared to an unprotected application.

Leibniz Institute for Neurobiology (DE)
Openalex Percentile: Top 74%
Parallel Computing and Optimization Techniques
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