Identify the AI generator app that produced the content (DeepSwap content on Signal)

Why this matters for DeepSwap content on Signal

• DeepSwap is the most commonly cited face swap tool in deepfake celebrity NCII cases since 2023. The high quality output makes content particularly damaging.
• Signal's zero metadata model is privacy protective for legitimate users but provides no platform side enforcement option for NCII victims. Content can be forwarded to other Signal users without trace.
• DeepSwap content distributed through Signal typically reaches between four and twelve additional platforms within 72 hours through reposts, mirrors, and cross platform redistribution.
• Source attribution to DeepSwap 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 DeepSwap fingerprint indicators including deepswap outputs display characteristic edge blending around the jaw and hairline, with subtle temporal flickering in video output. 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 DeepSwap content distributed on Signal 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 DeepSwap variations.
3. 03
   Complete the source attribution documentation DeepSwap outputs display characteristic edge blending around the jaw and hairline, with subtle temporal flickering in video output. The service compresses output to a recognizable bitrate profile. 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 DeepSwap source attribution DeepSwap outputs display characteristic edge blending around the jaw and hairline, with subtle temporal flickering in video output. The service compresses output to a recognizable bitrate profile. 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 Signal platform removal Signal does not have content moderation tooling because of its end to end encryption and zero metadata architecture. Removal of content requires action against the sender directly.
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
• Signal cannot be compelled to remove content because it does not have access to it. The TAKE IT DOWN Act enforcement against Signal is therefore ineffective. The remedy is action against the sender under state NCII statutes.
• DeepSwap attribution: Singapore operator jurisdiction supports legal correspondence through the Personal Data Protection Commission. Direct DMCA notice as the rights holder of the source face image is an additional lever.