Remote identity verification systems face significant risks from the evolving threats of deepfake technology. Deepfakes, which involve the creation of highly realistic but fake audio, video, and still images, can be used to compromise these systems in various ways. Attackers may use deepfake technology to present falsified identities, modify genuine documents, or create synthetic personas, exploiting weaknesses in the verification process. This summary explores the broad types of deepfake attacks, specific methods such as face swaps, expression swaps, synthetic imagery, and synthetic audio, and the various points of attack, including physical presentation attacks, injection attacks, and insider threats. Understanding these threats is crucial for developing robust defenses against the manipulation of identity verification systems.