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Researchers say Lovable-built apps left passports and chats exposed
German firm Crissyfield said a scan of 159,041 Lovable projects found apps exposing identity documents, more than 200,000 chat messages and other personal data via misconfigured Supabase access.
- New headline Was: “Lovable apps expose passport details and more than 200K private messages”
- Our desk filed its story
- crissyfield.de is now reporting this
German security firm Crissyfield said that many web apps built on the Swedish AI coding platform Lovable left personal and confidential records readable without a login, including identity-document details and more than 200,000 chat messages1.
The firm said it examined 159,041 Lovable projects identified in Common Crawl archives from December 2025 to September 2026, of which 34,545 used the database service Supabase1. It said 24,664 of those sites sent database records as soon as they loaded, and that further read-only requests retrieved tables containing email addresses on 7,403 of those sites1.
Crissyfield said the 30 percent figure among those 24,664 sites should not be treated as a confirmed leak rate, because email addresses may be public or test data and because the Common Crawl sample is not representative of all Lovable apps1. It said it retrieved only parts of datasets and is not publishing access details1.
Among examples it listed: a German lifestyle forum exposing more than 80,000 profiles and more than 200,000 chat messages; event and restaurant operators exposing tens of thousands of ticket and food-sale records; a property manager exposing AI summaries of internal emails; and a service that exposed more than 1,000 records with passport numbers, expiration dates and nationalities1. Other content it said was accessible included contracts, invoices, photo albums, WhatsApp communications and, in one case, 280,000 emails sent to a provider’s customers1.
Lovable, founded in Stockholm in 2023 by Anton Osika and Fabian Hedin, turns plain-language prompts into web apps and grew out of the open-source project GPT Engineer, Crissyfield said1. The researchers said Lovable’s marketing stresses that little programming knowledge is needed, while its terms place responsibility for applications and data handling on customers1.
The firm said similar access-control mistakes can occur in any software, but that recurring database patterns on Lovable make similar misconfigurations easier to find across many apps1. It said it did not examine Lovable’s own database features introduced in late 20251.
Crissyfield said it worked with Handelsblatt, which reported on earlier findings on Nov. 2, and that Handelsblatt contacted Lovable1. The English report says its figures are more recent than that article1. The researchers said they could not establish whether any of the exposed data had been misused1.