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Passwords in the Air
- Source :
- WISEC
- Publication Year :
- 2018
- Publisher :
- ACM, 2018.
-
Abstract
- Smart devices without an interactive UI (e.g., a smart bulb) typically rely on specific provisioning schemes to connect to wireless networks. Among all the provisioning schemes, SmartCfg is a popular technology to configure the connection between smart devices and wireless routers. Although the SmartCfg technology facilitates the Wi-Fi configuration, existing solutions seldom take into serious consideration the protection of credentials and therefore introduce security threats against Wi-Fi credentials. This paper conducts a security analysis against eight SmartCfg based Wi-Fi provisioning solutions designed by different wireless module manufacturers. Our analysis demonstrates that six manufacturers provide flawed SmartCfg implementations that directly lead to the exposure of Wi-Fi credentials: attackers could exploit these flaws to obtain important credentials without any substantial efforts on brute-force password cracking. Furthermore, we keep track of the smart devices that adopt such Wi-Fi provisioning solutions to investigate the influence of the security flaws on real world products. Through reversely analyzing the corresponding apps of those smart devices we conclude that the flawed SmartCfg implementations constitute a wide potential impact on the security of smart home ecosystems.
- Subjects :
- Password
021110 strategic, defence & security studies
Security analysis
Exploit
business.industry
Computer science
Wireless network
0211 other engineering and technologies
Password cracking
Provisioning
02 engineering and technology
Computer security
computer.software_genre
Home automation
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
computer
Implementation
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks
- Accession number :
- edsair.doi...........1cdee6aca20519f622ab3255ca7e6646