Convex Security

Convex Security Scanner

Built a real-time app with Convex? Make sure your queries, mutations, and actions are properly secured before users go live.

Enter your deployed app's URL. Review the findings, take the suggested fixes to your coding tool, and retest after making changes.

First scan free: issue counts and one finding revealed in detail. No card required.

View a sample security report

Top 4 Security Issues in Convex Apps

1

Unauthenticated Query Access

Convex queries are public by default. Without explicit auth checks, anyone can read your data.

2

Unprotected Mutations

Mutations without identity verification allow unauthenticated data manipulation.

3

Secrets in Action Functions

Actions calling external APIs may have secrets accessible if function access controls aren't configured.

4

Missing Argument Validation

Queries and mutations accepting user input without validation are susceptible to injection.

Where Security Breaks in Convex Apps

Built on Postgres, Convex applications share a recognizable fingerprint, which means attackers and automated scanners find them the same way every time. Based on real vulnerability patterns in Convex deployments, the breakdown is 1 critical-impact issue, 2 high-impact, and 1 medium-or-lower.

HIGH

Unauthenticated Query Access

Convex queries are public by default. Without explicit auth checks, anyone can read your data.

Fix: Enforce email verification, minimum password requirements, and rate limiting on auth endpoints. Test auth flows as unauthenticated and cross-user to verify access controls.

MEDIUM

Unprotected Mutations

Mutations without identity verification allow unauthenticated data manipulation.

Fix: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.

CRITICAL

Secrets in Action Functions

Actions calling external APIs may have secrets accessible if function access controls aren't configured.

Fix: Enable Row Level Security (Supabase) or Security Rules (Firebase) on every table. For custom backends, enforce authorization at the query layer — never client-side.

HIGH

Missing Argument Validation

Queries and mutations accepting user input without validation are susceptible to injection.

Fix: Use parameterized queries, sanitize all user input, and render dynamic content with framework escaping (React JSX, not dangerouslySetInnerHTML).

What We Check

Query Access Control

Tests Convex queries for proper authentication checks and data scoping.

Mutation Security

Verifies mutations require authentication and validate arguments.

Secret Detection

Scans frontend bundles for leaked environment secrets.

Auth Configuration

Checks authentication integration for session handling and token validation.

What You'll Get

Full vulnerability report
Query and mutation access audit
Exposed secrets detection
Argument validation review
Auth flow analysis
Remediation guide
AI-ready markdown export
Re-scan verification

Why Convex Apps Need Security Scanning

Convex is a real-time backend gaining traction with AI apps and vibe coders. Unlike Supabase where RLS acts as a safety net, Convex requires you to add auth and authorization checks directly in your function code.

vas scans your deployed Convex application to identify functions that lack authentication, mutations that skip validation, and secrets that have leaked into client-side code.

How Convex Security Scanning Works

1

Submit Your URL

Enter your Convex application URL. Our scanner automatically detects your tech stack and configures the appropriate security checks for Convex.

2

Automated Analysis

We check the reachable app for exposed secrets, browser protections, authentication issues and database access problems. A standard scan typically takes a few minutes; blocked requests or incomplete coverage are reported.

3

Get Actionable Results

Receive a detailed report with prioritized vulnerabilities, severity ratings, and step-by-step remediation guidance with code examples specific to Convex.

Common Questions About Convex Security

What does a VAS scan of a Convex app check?

VAS checks the deployed pages, scripts and endpoints it can reach for issues including query access control, mutation security, secret detection, auth configuration. The report records findings and coverage limits; it does not certify the whole app as secure.

What will I receive in the report?

Findings include severity, supporting evidence and remediation guidance. Your first scan is free, with issue counts and one finding revealed in detail. Paid report access unlocks every finding. Use Export for AI to bring available findings into your coding tool, review the proposed changes and retest.

Can a scan verify every permission and private workflow?

No. Coverage depends on reachable pages, discovered endpoints and enabled checks. Configure a test login for supported authenticated checks. Review source code and business-specific permissions separately. Zero findings does not prove an app is secure.

Does VAS change my code or database policies?

VAS provides recommendations, not automatic fixes. Adapt any suggested policy or code change to your data model, test that permitted users still have access and that other users do not, then rescan. Read checks alone cannot confirm insert, update or delete permissions.

What should I know before scanning a production app?

Only scan apps you own or have permission to test. Scan requests can trigger firewall rules, logs and rate limits. Review enabled checks, and use staging or dedicated test accounts for sensitive workflows. Active tests, where enabled, need separate care because they can make changes.

Remediation Playbook for Convex

Priority-ordered fixes for the specific findings we see in Convex apps. Critical items close data-exposure gaps; high items prevent compromise; medium items reduce attack surface. Applies to apps using Postgres, the dominant Convex stack.

1. Unauthenticated Query Access

Why it matters: Convex queries are public by default. Without explicit auth checks, anyone can read your data.

How to close it: Enforce email verification, minimum password requirements, and rate limiting on auth endpoints. Test auth flows as unauthenticated and cross-user to verify access controls.

2. Unprotected Mutations

Why it matters: Mutations without identity verification allow unauthenticated data manipulation.

How to close it: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.

3. Secrets in Action Functions

Why it matters: Actions calling external APIs may have secrets accessible if function access controls aren't configured.

How to close it: Enable Row Level Security (Supabase) or Security Rules (Firebase) on every table. For custom backends, enforce authorization at the query layer — never client-side.

4. Missing Argument Validation

Why it matters: Queries and mutations accepting user input without validation are susceptible to injection.

How to close it: Use parameterized queries, sanitize all user input, and render dynamic content with framework escaping (React JSX, not dangerouslySetInnerHTML).

Verify the fixes stuck

Rescan after deploying a fix to check whether the original finding still appears. Compare the evidence and coverage with the previous report. For permissions and private workflows, also repeat the relevant tests with authorized and unauthorized test users.

Check your Convex app

Find observable security issues in your deployed app, review the evidence and take the next steps with your coding tool.

Start with a free scan. See issue counts and one finding in detail, then decide whether you need full report access.