Zero Retention

Media Authenticity & Deepfake Analyzer

Enterprise AI model integration to detect generative face manipulation, facial blending anomalies, and synthetic media artifacts.

AI Vision Model Interface
Zero Fabricated Results Policy

Media Authenticity & Deepfake Analyzer

Enterprise AI model integration to detect generative face manipulation, facial blending anomalies, and synthetic media artifacts.

API Provider Configuration Required (Zero Fake Results Policy)

Cfake adheres to an uncompromised standard of technical integrity. We NEVER generate random or fabricated percentages (such as "91% fake"). Live deepfake neural analysis requires an active provider connection (Sightengine AI, Hive AI, or a custom enterprise model endpoint).

Please contact the system administrator to connect an authorized AI vision provider.

Choose media image or drag & drop here
Supports JPG, PNG, WebP. Strict confidentiality: zero retention.


The Cfake Media Authenticity & Deepfake Analyzer provides an uncompromised integration framework for enterprise AI vision models (such as Sightengine AI or Hive Moderation) to evaluate generative face manipulation and synthetic artifacts.

Strict Zero-Fake-Results Policy

Unlike unscrupulous entertainment websites that randomly roll dice to show fake percentages (e.g. “88% Deepfake”), Cfake only displays results when connected to an authentic, configured AI model. When no external model is configured, this tool honestly informs users that API configuration is required.

Methodology & Verification Safeguards

Technical Integrity & Boundaries

This tool operates on mathematically verified algorithms, standard RFC protocols, and authentic registry streams. Results reflect deterministic measurements and should be interpreted alongside holistic investigative context.

Zero-Retention Privacy Guarantee

User privacy is non-negotiable. Candidate files and payloads are evaluated in isolated memory and permanently purged immediately after returning analysis results. We never build databases from user data.

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