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The security of modern electronic devices relies on secret keys stored onsecure hardware modules as the root-of-trust (RoT). Extracting those keys wouldbreak the security of the entire system. As shown before, sophisticatedside-channel analysis (SCA) attacks, using chip failure analysis (FA)techniques, can extract data from on-chip memory cells. However, since thechip's layout is unknown to the adversary in practice, secret key localizationand reverse engineering are onerous tasks. Consequently, hardware vendorscommonly believe that the ever-growing physical complexity of the integratedcircuit (IC) designs can be a natural barrier against potential adversaries. Inthis work, we present a novel approach that can extract the secret key withoutany knowledge of the IC's layout, and independent from the employed memorytechnology as key storage. We automate the -- traditionally verylabor-intensive -- reverse engineering and data extraction process. To thatend, we demonstrate that black-box measurements captured using laser-assistedSCA techniques from a training device with known key can be used to profile thedevice for a later key prediction on other victim devices with unknown keys. Toshowcase the potential of our approach, we target keys on three differenthardware platforms, which are utilized as RoT in different products.

Automatic Extraction of Secrets from the Transistor Jungle using Laser-Assisted Side-Channel Attacks