Lovable security

XSS Vulnerability in Lovable App User Input

Your Lovable app displays user-submitted content (comments, profile names, form inputs) without properly sanitizing it. This allows attackers to inject malicious JavaScript that runs in other users' browsers.

Cross-site scripting (XSS) is a serious vulnerability that can steal user sessions, redirect users to phishing sites, or modify what your app displays. If your app has any feature where one user's input is shown to another user, it may be vulnerable.

The issue often goes unnoticed until someone submits a script tag in a form field and it executes, or until your app is flagged in a security scan.

Error Messages You Might See

Content Security Policy violation Refused to execute inline script Unsafe HTML content detected
Content Security Policy violationRefused to execute inline scriptUnsafe HTML content detected

Common Causes

  • Using dangerouslySetInnerHTML — Lovable may generate React code that renders user content as raw HTML
  • No input sanitization — User input is stored and displayed exactly as entered, including HTML and script tags
  • Template literals in DOM — User data inserted into the page using template strings without escaping
  • Missing Content-Security-Policy headers — No CSP headers to prevent inline script execution

How to Fix It

  1. Never use dangerouslySetInnerHTML with user data — Replace it with regular text rendering that auto-escapes HTML
  2. Install DOMPurify — If you must render HTML, use a sanitization library like DOMPurify to strip malicious content
  3. Add Content-Security-Policy headers — Configure CSP headers to prevent inline script execution
  4. Validate and sanitize on the server — Clean user input before storing it in the database, not just when displaying it
  5. Test with common XSS payloads — Try submitting <script>alert('xss')</script> in your form fields to verify they're safe

Real developers can help you.

Jaime Orts-Caroff Jaime Orts-Caroff I'm a Senior Android developer, open to work in various fields 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. 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) zipking zipking I am a technologist and product builder dedicated to creating high-impact solutions at the intersection of AI and specialized markets. Currently, I am focused on PropScan (EstateGuard), an AI-driven SaaS platform tailored for the Japanese real estate industry, and exploring the potential of Archify. As an INFJ-T, I approach development with a "systems-thinking" mindset—balancing technical precision with a deep understanding of user needs. I particularly enjoy the challenge of architecting Vertical AI SaaS and optimizing Small Language Models (SLMs) to solve specific, real-world business problems. Whether I'm in a CTO-level leadership role or hands-on with the code, I thrive on building tools that turn complex data into actionable value. Yovel Cohen Yovel Cohen I got a lot of experience in building Long-horizon AI Agents in production, Backend apps that scale to millions of users and frontend knowledge as well. Nam Tran Nam Tran 10 years as fullstack developer Alvin Voo Alvin Voo I’ve watched the tech landscape evolve over the last decade—from the structured days of Java Server Pages to the current "wild west" of Agentic-driven development. While AI can "vibe" a frontend into existence, I specialize in the architecture that keeps it from collapsing. My expertise lies in the critical backend infrastructure: the parts that must be fast, secure, and scalable. I thrive on high-pressure environments, such as when I had only three weeks to architect and launch an Ethereum redemption system with minimal prior crypto knowledge, turning it into a major revenue stream. What I bring to your project: Forensic Debugging: I don't just "patch" bugs; I use tools like Datadog and Explain Analyzers to map out bottlenecks and resolve root causes—like significantly reducing memory usage by optimizing complex DB joins. Full-Stack Context: Deep experience in Node.js and React, ensuring backends play perfectly with mobile and web teams. Sanity in the Age of AI: I bridge the gap between "best practices" and modern speed, ensuring your project isn't just built fast, but built to last. Jacek Rozanski Jacek Rozanski Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004). Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month. What I bring to AI-built apps: - I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0 - I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture) - I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting - I integrate external services: payment providers, email systems, partner APIs, SSO/auth Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code. Based in Poland (CET timezone). Available for async work and calls during EU/US business hours. Matt Butler Matt Butler Software Engineer @ AWS Luca Liberati Luca Liberati I work on monoliths and microservices, backends and frontends, manage K8s clusters and love to design apps architecture

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Frequently Asked Questions

What is XSS and why is it dangerous?

Cross-site scripting (XSS) allows attackers to inject malicious scripts into your app. When other users visit the page, the script runs in their browser and can steal their login sessions, personal data, or redirect them to fake sites.

Can React prevent XSS automatically?

React escapes content by default when you use JSX expressions like {userInput}. However, using dangerouslySetInnerHTML or inserting content via DOM manipulation bypasses this protection.

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