Security researchers utilized AI-assisted reverse engineering techniques to conduct an in-depth analysis of the TP-Link Tapo C200 camera, uncovering multiple critical security vulnerabilities. The research process demonstrates how AI tools can significantly streamline traditional reverse engineering workflows, including firmware decryption, code comprehension, and vulnerability analysis. The study identified several vulnerabilities in the device, such as hardcoded SSL private keys and memory overflow in the ONVIF XML parser, which could lead to man-in-the-middle attacks and remote code execution. The researchers documented the entire analysis process on Arcadia, including the use of AI prompts and failed attempts, providing valuable practical experience for the security research community. These vulnerabilities affect approximately 25,000 devices directly exposed to the internet, highlighting the importance of IoT security. This research not only reveals security issues in specific products but also showcases the immense potential and practical application value of AI technology in security research.
