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.

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. Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Caio Rodrigues Caio Rodrigues I'm a full-stack developer focused on building practical and scalable web applications. My main experience is with **React, TypeScript, and modern frontend architectures**, where I prioritize clean code, component reusability, and maintainable project structures. I have strong experience working with **dynamic forms, state management (Redux / React Hook Form), and complex data-driven interfaces**. I enjoy solving real-world problems by turning ideas into reliable software that companies can actually use in their daily operations. Beyond coding, I care about **software quality and architecture**, following best practices for componentization, code organization, and performance optimization. I'm also comfortable working across the stack when needed, integrating APIs, handling business logic, and helping transform prototypes into production-ready systems. My goal is always to deliver solutions that are **simple, efficient, and genuinely useful for the people using them.** Simon A. Simon A. I'm a backend developer building APIs, emulators, and interactive game systems. Professionally, I've developed Java/Spring reporting solutions, managed relational and NoSQL databases, and implemented CI/CD workflows. Jen Jacobsen Jen Jacobsen I’m a Full-Stack Developer with over 10 years of experience building modern web and mobile applications. I enjoy working across the full product lifecycle — turning ideas into real, well-built products that are intuitive for users and scalable for businesses. I particularly enjoy building mobile apps, modern web platforms, and solving complex technical problems in a way that keeps systems clean, reliable, and easy to maintain. Tejas Chokhawala Tejas Chokhawala Full-stack engineer with 5 years experience building production web apps using React, Next.js and TypeScript. Focused on performance, clean architecture and shipping fast. Experienced with Supabase/Postgres backends, Stripe billing, and building AI-assisted developer tools. Jaime Orts-Caroff Jaime Orts-Caroff I'm a Senior Android developer, open to work in various fields AUXLE AUXLE I am a Full Stack Developer experienced in building Websites, Web apps and Cross Platform Mobile Apps for Startups and Companies. Taufan Taufan I’m a product-focused engineer and tech leader who builds scalable systems and turns ideas into production-ready platforms. Over the past years, I’ve worked across startups and fast-moving teams, leading backend architecture, improving system reliability, and shipping products used by thousands of users. My strength is not just writing code — but connecting product vision, technical execution, and business impact. Krishna Sai Kuncha Krishna Sai Kuncha Experienced Professional Full stack Developer with 8+ years of experience across react, python, js, ts, golang and react-native. Developed inhouse websearch tooling for AI before websearch was solved : )

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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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