Karonte : Static Analysis Tool To Detect Multi-Binary Vulnerabilities In Embedded Firmware

Karonte is a static analysis tool to detect multi-binary vulnerabilities in embedded firmware.

Research Paper

We present our approach and the findings of this work in the following research paper:

Detecting Insecure Multi-binary Interactions in Embedded Firmware [PDF]

Nilo Redini, Aravind Machiry, Ruoyu Wang, Chad Spensky, Andrea Continella, Yan Shoshitaishvili, Christopher Kruegel, Giovanni Vigna. To appear in Proceedings of the IEEE Symposium on Security & Privacy (S&P), May 2020

If you use it in a scientific publication, we would appreciate citations using this Bibtex entry:

@inproceedings{redini_karonte_20,
 author    = {Nilo Redini and Aravind Machiry and Ruoyu Wang and Chad Spensky and Andrea Continella and Yan Shoshitaishvili and Christopher Kruegel and Giovanni Vigna},
 booktitle = {To appear in Proceedings of the IEEE Symposium on Security & Privacy (S&P)},
 month     = {May},
 title     = {KARONTE: Detecting Insecure Multi-binary Interactions in Embedded Firmware},
 year      = {2020}
}

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Repository Structure

There are four main directories:

tool: python files
firmware: firmware dataset
configs: configuration files to analyze the firmware samples in the dataset
eval: scripts to run the various evaluations on it.

Run

To run it, from the root directory, just run

SYNOPSIS python tool/karonte.py JSON_CONFIG_FILE [LOG_NAME]
DESCRIPTION runs karonte on the firmware sample represented by the JSON_CONFIG_FILE, and save the results in LOG_NAME
EXAMPLE python tool/karonte.py config/NETGEAR/r_7800.json It runs karonte on the R7800 NETGEAR firmware

By default, results are saved in /tmp/ with the suffix Karonte.txt.

To inspect the generated alerts, just run:

python tool/pretty_print.py LOG_NAME

Docker

A dockerized version of it is ready to use can be found here

Dataset

You can obtain it dataset at this link

Download