School of Computer and Information Science, Edith Cowan University, Perth, Western Australia
The demand for high-speed Internet access is escalating high sales of ADSL routers. In-turn this has prompted individuals to attack and exploit the vulnerabilities in these devices. To respond to these threats, methods of acquisition and analysis are needed. The configuration data provides a wealth of information into the current state of the device. Hence, this data may be used to identify and interpret unlawful ways in which the device was used. This paper is centres around an empirical learning approach identifying techniques to address the device’s acquirable limitations taking into consideration that the owner may not willingly present login credentials to directly access the device. This paper demonstrates a procedural method of obtaining data of interest from ADSL routers. It further elaborates on the methods by detailing how to extract and understand this configuration data.