Identify the AI generator app that produced the content (DeepNude content on WhatsApp)

Why this matters for DeepNude content on WhatsApp

• DeepNude derivative services proliferate under different names but produce visually identifiable output. Hash matching against known DeepNude derivative samples accelerates platform removal under 47 USC 223a.
• WhatsApp groups can have up to 1024 members and broadcast lists can reach 256 contacts at once. End to end encryption limits content based moderation but metadata reporting still triggers account level enforcement.
• DeepNude content distributed through WhatsApp typically reaches between four and twelve additional platforms within 72 hours through reposts, mirrors, and cross platform redistribution.
• Source attribution to DeepNude is critical for identify source app 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 DeepNude fingerprint indicators including deepnude outputs and direct derivatives display a characteristic 512x512 base resolution upscaled to higher dimensions, producing a recognizable softness in fine detail. Highest resolution copy of the content available, ideally the original file before redistribution compression
2. 02
   Run a biometric scan to find every copy across platforms DeepNude content distributed on WhatsApp 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 DeepNude variations.
3. 03
   Complete the source attribution documentation DeepNude outputs and direct derivatives display a characteristic 512x512 base resolution upscaled to higher dimensions, producing a recognizable softness in fine detail. The model exclusively trained on female bodies, which is a definitive identifier. Document the matching characteristics with side by side comparison samples and forensic notes. This documentation supports authentication under Federal Rules of Evidence 901.
4. 04
   Document the DeepNude source attribution DeepNude outputs and direct derivatives display a characteristic 512x512 base resolution upscaled to higher dimensions, producing a recognizable softness in fine detail. The model exclusively trained on female bodies, which is a definitive identifier. 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 WhatsApp platform removal WhatsApp accepts NCII reports through Meta's reporting infrastructure. Group reports can result in group deletion, and individual user reports can result in account suspension and device level content blocking.
6. 06
   File the complete evidence record for the legal track Federal Rules of Evidence 901 for authentication of digital evidence 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

• Federal Rules of Evidence 901 for authentication of digital evidence
• Source attribution as a foundational element of civil claims under state NCII statutes
• WhatsApp is the largest messaging platform globally and is a Meta property. Account suspension is the primary enforcement mechanism, and repeat offenders face permanent bans tied to phone number and device hardware.
• DeepNude attribution: DeepNude derivative content is highly identifiable through model fingerprinting. This identification supports civil claims against the operator of any specific clone service and supports criminal investigations.