Your MVP has paying customers. Has it been audited?
Claude / Codex / Gemini / Cursor / Copilot / v0 / Bolt / Windsurf / Replit — any AI-generated codebase. Security doesn't come built-in. Get a full GitHub repo scan + AI remediation patches — free scan, then $99 one-time audit or $49/mo re-scan monitor — results in under 10 minutes.
Built a Lovable app? The Lovable Security Audit covers Lovable-specific patterns: Supabase RLS bypass, removed-auth-header IDOR, and direct Supabase API misconfigurations.
$99 one-time audit · or $49/mo for ongoing re-scans · Results in under 10 minutes
Lovable runs on Supabase — the vulnerability surface is different
This audit checks the classes of issue most common in Supabase-backed apps: missing Row Level Security policies in your migrations, exposed credentials, and IDOR on API routes.
IDOR — Missing ownership checks on API routes
Lovable generates API routes that often return or modify data by ID without verifying the requesting user owns that record — any authenticated user can read or modify any other user's data.
Missing Supabase Row Level Security (RLS)
Supabase tables are insecure by default until RLS policies are explicitly enabled. Lovable apps that don't configure RLS allow any authenticated user to read or write any row.
Removed-auth-header IDOR
Lovable sometimes strips the Authorization header when generating client-side Supabase calls, so the request reaches Supabase unauthenticated — bypassing RLS entirely. 1 in 10 Lovable apps tested leaked user data through this pattern (Halborn, 2026).
The vibe-coding security reality
#1
finding type: IDOR / broken auth — user A can read or modify user B's data
60%+
of AI-generated repos assessed had at least one exposed credential in source
1 in 10
Lovable apps tested leaked real user data via removed-auth-header or IDOR
What the audit covers
50+ vulnerability patterns checked against your actual code — not a generic checklist.
Free scan covers deterministic checks · full findings need the $99 AI-powered audit
IDOR / broken object-level auth
Full auditCan user A access user B's data?
Exposed secrets and credentials
Full auditAPI keys, DB URLs, tokens in code
Missing Row Level Security (RLS)
Full auditSupabase tables open to any authenticated user
SQL injection paths
Full auditUser input reaching raw SQL or ORM interpolation
AI dependency risks
Full auditUnvetted model providers, prompt injection surfaces
Vulnerable dependencies
Full auditKnown CVEs in your lockfile
Missing rate limiting
Free scanPublic endpoints with no throttle — open to abuse and credential stuffing
Unchecked HTTP responses
Free scanfetch() calls that invoke .json() without a .ok guard — silently swallows errors
Webhook silent-success
Free scanHandlers that return 200 before verifying payload — payment events discarded forever
Broken button → route contracts
Free scanUI buttons calling fetch('/api/…') paths with no matching route handler
AI remediation patches — copy and apply
Every finding comes with a ready-to-paste code fix. One click to copy, or one click to open a real pull request on your own repo.
- Per-finding patches — not generic advice
- One-click copy to clipboard
- Create Pull Request — opens a real PR on your own repo
const session = await getServerSession();
if (!session?.user?.id ||
session.user.id !== params.id) {
return NextResponse.json(
{ error: 'Forbidden' }, { status: 403 }
);
}How it works
Scan your GitHub repo (free)
Paste the URL of your Claude / Codex / Gemini / Cursor / Copilot / v0 / Bolt / Windsurf / Replit app. Public or private (private requires GitHub OAuth).
AI analysis runs (under 10 min)
We check 50+ security and privacy patterns against your actual code — IDOR, credentials, RLS, injection paths, rate limiting, unchecked responses, webhook handling, button→route gaps, and more.
Unlock the audit report ($99) or subscribe to re-scans ($49/mo)
Unlock the full report + AI remediation patches with a one-time $99 audit, or subscribe to the $49/mo monitor for ongoing re-scans as your code changes.
Apply the patches
Copy patches directly, or click Create Pull Request to open a real PR on your own repo. Every finding has a ready-to-paste fix, not just a description of the problem.
One data breach costs more than $99
Your customers trust you with their data. A full repo audit takes 10 minutes and costs $99 one-time, with remediation patches included. Shipping fast? Subscribe to the $49/mo monitor so new issues don't slip through after every deploy.
Scan free first at regulatorysignals.com
You might also need
10 MCP-specific security rules. Signed cert. Public registry listing.
View productBrowser extension security and privacy audit — permissions and data flows.
View productIndependent eval of AI agents — behaviour, safety, and regulatory readiness.
View product