An investigation into ClothOff, an app being used to make deepfake porn images of underage girls, finds a brother and sister in Belarus are linked to the app
Exclusive: Guardian investigation for podcast series Black Box reveals names connected to app that generated nonconsensual images of underage girls around the world
Context & Ripple Effects
The reporting moves the issue from anonymous abuse infrastructure toward identifiable people allegedly connected to a service used against minors. It also sits within a broader pattern: schools were already confronting students’ use of nudification tools against classmates in a wave of AI-generated images targeting female students.
Later coverage suggests this was not an isolated service: a whistleblower described Clothoff as part of an operator portfolio of similar apps in a wider nudify-app network. That makes ownership and operational accountability as consequential as the underlying image-generation technology.
First-order effects
- The investigation puts the Belarus-linked individuals and ClothOff under greater public and potential law-enforcement scrutiny, while giving victims, platforms, and investigators a more concrete lead than an anonymous app brand.
- For people targeted by the app, attribution may strengthen efforts to document harm and seek removal or redress, though the report itself does not establish legal liability.
Second-order effects
- App stores, payment providers, hosting companies, and social platforms face more pressure to identify and disrupt services whose operators may sit behind opaque brands and cross-border infrastructure.
- Other nudification services may face closer comparison with ClothOff’s alleged networked model, especially as school incidents show how quickly these tools can be used and shared among peers.
Third-order effects
- If investigations continue to connect consumer-facing deepfake tools to repeat operators, enforcement is likely to shift from removing individual images toward tracing the business infrastructure that enables production, distribution, and payment.
- The deeper policy challenge is moving toward proof-of-personhood and consent safeguards without assuming that image detection alone can prevent abuse; the corpus shows harms spreading across jurisdictions and institutions.
The trend: This is one data point in the shift from treating nonconsensual deepfakes as isolated content-moderation failures to treating nudification apps as accountable cross-border abuse infrastructure.