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This paper describes our proposed system for the spoofingaware speaker verification challenge (SASV Challenge 2022). The system follows an integrated approach that uses speaker verification and antispoofing embeddings extracted from specialized neural networks. Firstly, a shallow neural network, fed with the test utterance's verification and spoofing embeddings, is used to compute a spoof-based score. The final scoring decision is then obtained by combining this score with the cosine similaritydoi:10.21437/iberspeech.2022-14 fatcat:t7avttcuhvey3ago3gsq7xobo4