In this paper, we study the security threats and challenges of self-adaptive systems realized using digital twins. We use the MITRE ATT&CK framework to perform threat analysis and identify unique attack vectors specific to these systems. Our results show that the attack surface is broadened in these systems. We further provide an overview of our research findings for reducing the attack surface and present the open security challenges that are specific to such systems.