International Association
for Cryptologic Research

The ASCADv2 dataset ranks among the most secure publicly available datasets today. Two layers of countermeasures protect it: affine masking and shuffling, and the current attack approaches rely on strong assumptions. Specifically, besides having access to the source code, an adversary also requires prior knowledge of random shares. This paper forgoes reliance on such knowledge and proposes two attack approaches based on the vulnerabilities of the affine mask implementation. As a result, the first attack can retrieve all secret keys' reliance in less than a minute. Although the second attack is not entirely successful in recovering all keys, we believe more traces would help make such an attack fully functional.