Social engineering is a psychological attack targeting individuals' vulnerabilities, often aimed at employees of targeted organizations. Unlike traditional electronic attacks, it relies on manipulating individuals to run malware-infected devices or share sensitive information willingly. This study uses the Arduino Digispark Attiny85 module to demonstrate the potential consequences of social engineering attacks on network devices. By placing the module in a device connected to the target network, a network scan was performed to determine the security status, IP addresses, port information, and version information of all devices. During the experimental studies, it was observed that the most suitable port was the FTP port, and the attack was carried out via msfconsole on the FTP port. Unlike similar studies that focus on a single device, our approach allows simultaneous infiltration of multiple devices within the network, obtaining control over multiple authorized devices, highlighting the significant advantage of our method.
TÜBİTAK
1919B012108374
This work has been supported in part by The Scientific and Technological Research Council of Turkey (TUBITAK) research grant 2209-A, No:1919B012108374
1919B012108374
Primary Language | English |
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Subjects | Operating Systems, Computer Software |
Journal Section | Research Articles |
Authors | |
Project Number | 1919B012108374 |
Early Pub Date | December 11, 2024 |
Publication Date | |
Submission Date | May 26, 2024 |
Acceptance Date | June 19, 2024 |
Published in Issue | Year 2024Volume: 8 Issue: 2 |
The works published in Journal of Innovative Science and Engineering (JISE) are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.