FirmPass: Identifying Broken Password Management in Linux-Based IoT Firmware Through Query-Driven Approaches
Password management is a fundamental aspect of security for Internet of Things (IoT) devices. However, despite the availability of established guidelines and best practices, the implementation of password management in IoT firmware often falls short, leading to vulnerabilities and potential breaches. Because of the lack of automated tools, the severity and pervasiveness of broken password management of IoT firmware has been less understood. In this paper, we present FIRMPASS, a new tool to identify broken password management of Linuxbased IoT firmware. Particularly, we establish general password management models for Linux-based IoT devices based on password management processes and related vulnerabilities. To automatically identify the vulnerabilities, FIRMPASS employs a query-driven approach to locate the firmware that violate the properties of correct password management. Specifically, we manually define four rules that should be complied with, encode the rules with queries, and check the queries in the firmware, which leads to the discovery of four types of vulnerabilities. Evaluation of 615 IoT firmware images uncovers 67 vulnerabilities, including 37 previously unknown issues. Our work underscores the urgent need for assessment solutions for IoT firmware.
Authors
- Zheng Qin (ORCID: https://orcid.org/0000-0003-0877-3887)
- Jing Huang (ORCID: https://orcid.org/0000-0002-5294-2572)
- Yuting Xiao (ORCID: https://orcid.org/0000-0001-9253-5376)
- Yupeng Hu (ORCID: https://orcid.org/0000-0002-7358-7426)
- Jiongyi Chen
Institutions
- Hunan University (CN)
- National University of Defense Technology (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/jiot.2025.3561520
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China