The women-only dating app Tea suffered a catastrophic data breach, exposing over 72,000 private images, including selfies and IDs, due to an unsecured database. Hackers discovered the vulnerability, leading to the leaked personal information being disseminated online. The data breach, totaling 59.3 GB, included recent user verification selfies and private messages. Despite claiming to promote safety for women, Tea's inadequate security measures allowed attackers to access sensitive user data easily. The breach was attributed to 'vibe coding', where developers rely excessively on AI tools without rigorous security checks. Concerns arise as generative AI's increasing usage in coding may lead to further vulnerabilities, as evidenced by a recent Georgetown University study indicating a high percentage of AI-generated code contains exploitable flaws. Users of the app are now urged to take steps such as credit monitoring to mitigate risks stemming from the exposure of their personal data. As the incident illustrates, the reliance on AI without appropriate safeguards can result in dire consequences for user privacy and security.

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