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Incident 1171: Reported Hack of Tea Dating App Compromises Data from Purportedly AI-Supported Identity and Image Checks

Description: In July 2025, the Tea dating advice app, which purportedly uses AI-assisted tools for user verification and reverse image search, reportedly suffered a breach of a legacy storage system. Hackers allegedly accessed about 72,000 images, including selfies, photo IDs, and other content, which were purportedly circulated on 4chan. The incident reportedly exposed sensitive data of users who signed up before February 2024.

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Alleged: Tea Dating Advice , Tea and Tea app developed and deployed an AI system, which harmed Users of the Tea app , Users of Tea Dating Advice , Women and General public.
Alleged implicated AI systems: Tea Dating Advice , Tea and Tea app

Incident Stats

Incident ID
1171
Report Count
2
Incident Date
2025-07-25
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident OccurrenceWhat to Know About the Hack at Tea, an App Where Women Share Red Flags About MenTea encouraged its users to spill. Then the app's data got leaked
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What to Know About the Hack at Tea, an App Where Women Share Red Flags About Men

What to Know About the Hack at Tea, an App Where Women Share Red Flags About Men

nytimes.com

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Tea encouraged its users to spill. Then the app's data got leaked

Tea encouraged its users to spill. Then the app's data got leaked

npr.org

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What to Know About the Hack at Tea, an App Where Women Share Red Flags About Men
nytimes.com · 2025

A fast-growing app for women was hacked after it shot to the top of app download charts and kicked off heated debates about women's safety and dating.

The app, Tea Dating Advice, allowed women worried about their safety to share information…

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Tea encouraged its users to spill. Then the app's data got leaked
npr.org · 2025

The Tea app describes itself as "the safest place to spill tea" about potential online matches, allowing its subscribers to conduct background and criminal record checks, reverse image searches, and communicate anonymously among one another…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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