As a key component of the national strategy for independent and controllable information technology, firmware security in the information technology application innovation industry is of great significance for ensuring the security of critical information infrastructure. To address security challenges arising from diverse domestic processor architectures, the adoption of national cryptographic algorithms, and complex supply chain environments, this study proposes a multi-platform firmware analysis and vulnerability scanning framework for information technology application innovation products. By extending disassembly tools to support non-mainstream instruction sets and integrating a dynamically constructed fingerprint library with automated feature extraction techniques, the proposed framework effectively detects known vulnerabilities and potential security risks in firmware. Experiments are conducted on firmware samples from three major domestic platforms, including Loongson, Kunpeng, and Phytium. The results show that the overall firmware analysis success rate of the proposed framework reaches 75.61%, which is superior to existing general-purpose tools. In terms of vulnerability detection, the average precision is 72.70%, the recall is 79.00%, and the F1-score reaches 75.72%. The framework achieves high detection coverage while maintaining a relatively low false positive rate, demonstrating strong practicality and scalability. This study provides a feasible technical solution for the security assessment of firmware in information technology application innovation products and has important practical significance and application value.