Cybersecurity researcher Jeremiah Fowler recently revealed a sensitive data exposure involving the Australian fintech company Vroom by YouX, previously known as Drive IQ.
Fowler, in a report to Website Planet, found an unsecured Amazon S3 bucket with 27,000 records. This database contained sensitive personal information, such as driver’s licenses, medical records, employment statements, and bank details, without any password protection or encryption.
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Cybersecurity researcher Jeremiah Fowler recently revealed a sensitive data exposure involving the Australian fintech company Vroom by YouX, previously known...
The exposed data is concerning, showing bank statements with account and partial credit card numbers. Fowler also found an internal screenshot of a separate MongoDB instance containing 3.2 million documents.
This screenshot shows a bank statement document that includes account details, transaction activity, and PII of the account holder. Source: websiteplanet.com
Company’s Quick Response:
Fowler quickly reported the vulnerability to Vroom, which immediately limited public access to the database. The company recognized the issue and promised a post-incident review, emphasizing its seriousness.
“We’ve identified and resolved the issue causing this vulnerability, so thank you for bringing it to our attention,” the company stated.
Vroom, which launched in 2022 as Drive IQ, is an AI-based platform that simplifies vehicle financing by connecting customers with lenders. It analyzes customer and vehicle information to deliver pre-approved financing offers. However, records from 2022 to 2025 reveal concerns about the company’s management of sensitive customer data.
The exposed information, such as identity and financial documents, poses serious fraud risks, including social engineering, fake accounts, loan applications, and impersonation, according to Fowler. Partial credit card numbers can help fill in missing details through cross-referencing or phishing scams.
He suggested that fintech companies adopt stronger security measures, including end-to-end encryption, access controls, multi-factor authentication, and regular security audits. He also supports data minimization policies, recommending that companies “collect and store active data while deleting outdated records.”