Report to the FBI Internet Crime Complaint Center (DeepFaceLab content on iMessage)

Why this matters for DeepFaceLab content on iMessage

• DeepFaceLab requires technical skill to operate but produces the highest quality output of any current face swap technology. It is the source of most professional grade celebrity deepfake NCII.
• iMessage group chats can include up to 32 participants and content can be forwarded to additional chats with one tap. Read receipts and typing indicators provide attribution that supports law enforcement subpoenas.
• DeepFaceLab content distributed through iMessage typically reaches between four and twelve additional platforms within 72 hours through reposts, mirrors, and cross platform redistribution.
• Source attribution to DeepFaceLab is critical for report to FBI because it establishes the AI generated nature of the content, which strengthens statutory claims under 47 USC 223a regardless of whether the depicted person ever existed in unaltered form.

How AI generator removal works

What to do, step by step

1. 01
   Preserve evidence before any other action Capture full page screenshots with the URL bar visible, save the highest resolution copy of the content available, and document the DeepFaceLab fingerprint indicators including deepfacelab output quality varies by training time and source material, but high quality models produce indistinguishable face swap output. Full evidence package from the platform takedown including URLs and screenshots
2. 02
   Run a biometric scan to find every copy across platforms DeepFaceLab content distributed on iMessage rarely stays there. ScanErase indexes 2.4 billion face embeddings across 200 plus platforms and identifies every current hosting location in a single scan, including additional DeepFaceLab variations.
3. 03
   File the IC3 complaint with full evidence File at ic3.gov with the complete evidence package. The complaint should specifically cite the DeepFaceLab attribution and the iMessage distribution. Reference the GitHub distribution jurisdiction of the source service to support investigation routing.
4. 04
   Document the DeepFaceLab source attribution DeepFaceLab output quality varies by training time and source material, but high quality models produce indistinguishable face swap output. Forensic detection requires specialized analysis tools. This attribution evidence is critical for the legal record and supports stronger statutory claims regardless of which specific action you pursue.
5. 05
   Coordinate with iMessage platform removal Apple accepts iMessage NCII reports through its Communication Safety reporting flow. The iOS 17 sensitive content warning system can also be used to flag content for review.
6. 06
   File the complete evidence record for the legal track 47 USC 223a as the underlying federal NCII statute provides the foundational legal basis for this action. Document every notice sent, every platform response, and every confirmation in a single evidence file. ScanErase produces this Verified Removal Package automatically as your case progresses.

Legal context

• 47 USC 223a as the underlying federal NCII statute
• 18 USC 875 for interstate threat communications when sextortion is involved
• Apple is a covered platform under 47 USC 223a and operates the Communication Safety program for sensitive content reporting. iCloud subpoenas through Apple's law enforcement portal are typically responded to within 30 days.
• DeepFaceLab attribution: Open source distribution prevents action against the framework. Removal proceeds entirely against the operator who trained and deployed the specific model and against the distribution platform under 47 USC 223a.