Deep-Fake CAPTCHA: Mitigating Next-Generation Social Engineering Attacks

• URL: http://arxiv.org/abs/2609.11404v1
• Date: Thu, 10 Sep 2026 11:35:11 GMT
• Title: Deep-Fake CAPTCHA: Mitigating Next-Generation Social Engineering Attacks
• Abstract summary: DF-CAPTCHA is an active defense against real-time deepfake impersonation in voice and video calls.<n>The framework verifies the response using four criteria: realism, identity consistency, task completion, and response time.
• Score: 2.657356138730743
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This paper presents DF-CAPTCHA, an active defense against real-time deepfake impersonation in voice and video calls. Instead of passively searching for artifacts, DF-CAPTCHA prompts the caller to perform simple challenge-response tasks that are easy for humans but difficult for current real-time deepfake systems to generate convincingly. The framework verifies the response using four criteria: realism, identity consistency, task completion, and response time. We evaluate the approach across both audio and video modalities using user studies and experiments with real-time deepfake models. Results show that people often struggle to distinguish real-time deepfakes from authentic media, while DF-CAPTCHA substantially improves detection performance over passive methods, reaching high accuracy in both modalities. These findings suggest that active challenge-based verification is a practical and robust defense against next-generation social engineering attacks based on real-time deepfakes.

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