Base44 security

Forms Accept Any Input Without Validation

Forms in your Base44 app accept and save any input without validation. Users can submit empty required fields, enter text in number fields, submit absurdly long strings, or inject HTML and scripts into text fields. This corrupts your data and can create security vulnerabilities.

Without validation, your database fills with garbage data: empty email fields, phone numbers with letters, negative quantities, and dates in the wrong format. Reports become unreliable, automated workflows break on bad data, and cleaning up the mess is time-consuming.

Worse, malicious users can inject scripts that execute when other users or admins view the submitted data, potentially stealing sessions or performing actions on their behalf.

Error Messages You Might See

Invalid data saved to database Form submitted with empty required fields Script executed when viewing submitted data Number field contains non-numeric value
Invalid data saved to databaseForm submitted with empty required fieldsScript executed when viewing submitted dataNumber field contains non-numeric value

Common Causes

  • No field constraints configured — Base44 form fields don't have required, min/max, or format rules set
  • Client-side validation only — HTML5 validation attributes exist but can be bypassed by submitting directly to the API
  • Text fields without length limits — Users can paste megabytes of text into a single field, bloating the database
  • Number fields accepting strings — Price, quantity, and age fields store whatever string is submitted
  • No sanitization of HTML content — Rich text or description fields accept raw HTML and JavaScript

How to Fix It

  1. Add required field rules — Mark all mandatory fields as required in both the form configuration and the data table schema
  2. Set field type constraints — Configure number fields to accept only numbers, email fields to validate email format, and date fields to accept only valid dates
  3. Add length limits — Set maximum character limits on text fields (e.g., 255 for names, 1000 for descriptions)
  4. Sanitize text input — Strip HTML tags from plain text fields and sanitize rich text fields to allow only safe HTML elements
  5. Add server-side validation rules — Configure validation at the data layer so it can't be bypassed by direct API calls

Real developers can help you.

ISHANTDEEP SINGH ISHANTDEEP SINGH Senior Software Engineer with 7+ years of experience in React, JavaScript, TypeScript, Next.js, and Node.js. I’ve also worked as a tech lead for startups, owning end-to-end technical execution including architecture, development, scaling, and delivery. I bring a strong mix of hands-on coding, product thinking, and technical leadership, and I’m comfortable building products from scratch as well as improving and scaling existing systems. Bastien Labelle Bastien Labelle Full stack dev w/ 20+ years of experience rayush33 rayush33 JavaScript (React.js, React Native, Node.js) Developer with demonstrated industry experience of 4+ years, actively looking for opportunities to hone my skills as well as help small-scale business owners with solutions to technical problems MFox MFox Full-stack professional senior engineer (15+years). Extensive experience in software development, qa, and IP networking. Sage Fulcher Sage Fulcher Hey I'm Sage! Im a Boston area software engineer who grew up in South Florida. Ive worked at a ton of cool places like a telehealth kidney care startup that took part in a billion dollar merger (Cricket health/Interwell health), a boutique design agency where I got to work on a ton of exciting startups including a photography education app, a collegiate Esports league and more (Philosophie), a data analytics as a service startup in Cambridge (MA) as well as at Phillips and MIT Lincoln Lab where I designed and developed novel network security visualizations and analytics. I've been writing code and furiously devoted to using computers to make people’s lives easier for about 17 years. My degree is in making computers make pretty lights and sounds. Outside of work I love hip hop, the Celtics, professional wrestling, magic the gathering, photography, drumming, and guitars (both making and playing them) Dor Yaloz Dor Yaloz SW engineer with 6+ years of experience, I worked with React/Node/Python did projects with React+Capacitor.js for ios Supabase expert Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Richard McSorley Richard McSorley Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures. David Olverson David Olverson Solo dev shipping production apps with AI-assisted development. I specialize in rescuing broken Lovable/Bolt/Cursor builds and taking them to production. 10+ apps shipped including SaaS CRMs, gaming platforms, real estate tools, and Discord bots. Stack: Next.js 16, TypeScript, Tailwind CSS, FastAPI, PostgreSQL, Prisma. I use Claude Code with 50+ custom skills for rapid delivery. Average turnaround: 2-4 weeks from broken prototype to production. Mehdi Ben Haddou Mehdi Ben Haddou - Founder of Chessigma (1M+ users) & many small projects - ex Founding Engineer @Uplane (YC F25) - ex Software Engineer @Amazon and @Booking.com

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Frequently Asked Questions

Why is client-side validation not enough?

Anyone can bypass browser validation by editing the HTML, disabling JavaScript, or sending requests directly to the API. Server-side or data-layer validation is the only reliable way to ensure data integrity.

How do I clean up existing bad data?

Export your table data, clean it in a spreadsheet by removing empty rows and fixing formats, then re-import. Going forward, add validation rules to prevent bad data from being saved.

Related Base44 Issues

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