Phishing using AI techniques & Deepfake voice cloning

In the face of advancing artificial intelligence (AI), cybercriminals have leveraged deepfake audio to execute sophisticated phishing attacks, By collecting voice samples from public sources such as interviews and social media, criminals use advanced AI algorithms, including neural networks and speech synthesis models, to clone voices. These generative adversarial networks (GANs) produce realistic audio, which is then employed to impersonate trusted individuals during phishing calls. These attacks have impacted various organization in terms of financial losses.

The demonstration represents how an attack can be taken place by collecting some voice samples. 

The lifelike nature of these deepfake voices, enhanced by text-to-speech (TTS) and voice conversion (VC) technologies, makes it challenging for targets to detect the deception.