This is a blog post about our paper "From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr" (USEC 2026, co-located with NDSS), by Mohamed Moustafa Dawoud, Alejandro Cuevas, and Ram Sundara Raman. It is a measurement study of AI-generated NSFW content on Fiverr, a mainstream freelance platform with 3.5 million active buyers.
What we found
We identified roughly 600 gigs advertising AI-generated NSFW content on Fiverr, despite the platform's explicit prohibition. The growth is fast: 74.9% of NSFW sellers joined Fiverr in 2025, compared to just 28% in mainstream AI categories.
Other findings:
- 82.8% of listings offer deepfake-enabling features such as face-swapping or photorealistic imagery.
- Roughly 20% offer custom AI model training, and 1.4% explicitly request photos of specific individuals.
- Over half the gigs mention OnlyFans, and Instagram–OnlyFans combinations are the most common. This suggests Fiverr works as upstream infrastructure for content that violates other platforms' policies.
- NSFW sellers mostly use open-source tools like Stable Diffusion and ComfyUI.
- Western sellers (US and UK) make up over 25% of this segment, even though both countries recently enacted deepfake legislation.
What we recommend
We argue that platforms should use predictable keyword-based detection, require consent verification for custom model training requests, and engage payment processors to apply pressure for compliance.
Read the full blog post on the RANDLab website, or see the full paper at NDSS.