High-frequency transmission spectroscopy (HFTS) is a novel technique for the classification of a wide range of materials in biomedical, environmental, security, and manufacturing domains. HFTS is based on the fusion of scattering parameter measurements and machine learning classification techniques to identify materials of interest in novel environments. This work seeks to demonstrate the efficacy of HFTS in the domain of integrated circuit classification.