Secret Desires AI Platform Reportedly Exposed Nearly Two Million Sensitive Images in Cloud Storage Leak

November 19, 2025

The popular erotic AI chatbot and image-generation platform, Secret Desires, allegedly exposed nearly two million sensitive images and videos due to misconfigured cloud storage. The leaked files are said to contain personal photos, workplace and university information, as well as explicit deepfakes generated by the AI. Among the content were explicit images of women and girls. Access to the data became inaccessible shortly after journalists contacted the platform.

This incident underscores the need for trustworthy AI practices and governance in AI systems like Secret Desires, which can generate and store sensitive materials. Join us at HISPI Project Cerebellum to help create guardrails for safe and secure AI development and deployment.
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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 1.6 — similarity 0.656, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.654, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.635, rank 3. TAIM detail and related incidents →

Alleged deployer: secret-desires
Alleged developer: secret-desires
Alleged harmed parties: women, people-depicted-in-secret-desires-deepfakes, general-public, epistemic-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1284

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.