A critical API flaw in Lovable exposed sensitive project data, raising serious concerns about security in fast growing AI development platforms.
Quick Summary – TLDR:
- Lovable API flaw exposed source code, chat logs, and credentials.
- Projects created before November 2025 were most at risk.
- Researchers showed real data exposure, including user and company information.
- Company response and delayed fix sparked criticism from security experts.
What Happened?
Lovable confirmed a vulnerability in its API that allowed authenticated users to access data from other users’ projects. The issue mainly affected projects created before November 2025 and exposed sensitive development data.
Lovable has a mass data breach affecting every project created before november 2025.
— impulsive (@weezerOSINT) April 20, 2026
I made a lovable account today and was able to access another users source code, database credentials, AI chat histories, and customer data are all readable by any free account.
nvidia,… pic.twitter.com/QcVvz9cNZl
A Simple API Bug With Serious Consequences
The root of the issue was a missing ownership check in Lovable’s API endpoints. This meant that any logged in user could query project data that did not belong to them simply by making a few API calls.
Security researchers demonstrated how easy it was to exploit. In one case, a researcher accessed a Danish nonprofit’s project and retrieved real user data including names, company affiliations, and LinkedIn profiles. No hacking techniques were required. Just a free account and basic API requests.
The flaw created a major gap where older projects returned successful responses while newer ones were protected. This inconsistency left thousands of active projects exposed.
What Data Was Exposed?
The scope of exposed data makes this incident especially serious. It goes far beyond simple visibility issues.
Researchers found access to:
- Full source code and admin panels.
- Database credentials and infrastructure secrets.
- Customer data and personally identifiable information.
- Complete AI chat histories from development sessions.
The exposure of chat histories adds a new layer of risk. Developers often share sensitive information with AI tools including database structures, error logs, and business logic. In some cases, live credentials such as Supabase keys were visible, potentially giving access to production databases.
Enterprise Risk and Wider Impact
Lovable is not a small tool used only by hobby developers. It is valued at $6.6 billion and used by teams at major companies like Nvidia, Microsoft, Uber, and Spotify.
This raises a bigger concern. If employees used Lovable for internal tools or prototypes before November 2025, sensitive corporate data may have been unintentionally exposed.
For affected users, the recommended action is clear but time consuming. They should rotate all credentials connected to Lovable projects including API keys, database access tokens, and third party integrations. Any exposed credential should be treated as compromised.
Controversy Over Lovable’s Response
The situation became more complicated due to Lovable’s public response.
Initially, the company denied that a data breach had occurred and suggested the issue was related to how “public” projects were designed. It also pointed to unclear documentation as a factor.
Later, Lovable admitted that its communication did not properly address the issue and apologized. The company explained that earlier design decisions made some project data visible to encourage sharing and discovery.
However, researchers pushed back on this explanation. They argued that private and older projects were also accessible through the same API pattern, which goes beyond a simple documentation problem.
The vulnerability was reportedly disclosed in March 2026 through HackerOne, but older projects remained exposed for weeks. This delay has raised questions about how quickly the company acted and whether all risks were fully addressed.
The Bigger Problem With AI Development Tools
This incident highlights a growing challenge in the so called vibe coding space, where users rely on AI to build applications quickly.
These platforms often require users to connect real databases, API keys, and production environments to generate working apps. This creates a concentrated risk. A single flaw can expose entire systems, not just isolated data.
Lovable’s rapid growth shows how popular these tools have become. But it also shows that security practices may not always keep pace with adoption.
SQ Magazine’s Takeaway
I think this is a wake up call for anyone using AI to build apps. Speed is great, but security cannot be optional. When a platform handles real credentials and production data, even a small API mistake can turn into a massive exposure.
If I were using Lovable before November 2025, I would assume everything I shared there is compromised and act fast. This is not just about one company. It is about how seriously the entire AI development ecosystem takes security going forward.
