Is Base44 safe enough to launch a SaaS product on without a security review?

No. The platform's defaults assume trust between authenticated users. Wiz and Imperva disclosed account-takeover vulnerabilities in 2025, and the data layer's default behavior is that every signed-in user can read every record in every entity. You must explicitly add ownership filters, harden auth flows, and review every backend function before launch. A 4–8 hour security pass before launch is the bare minimum.

How does Base44 handle JWT tokens, and where have they leaked?

Base44 stores JWTs in browser local storage and exposes them to in-app JavaScript. Imperva documented a stored-XSS vector that exfiltrated tokens directly from local storage, and a separate disclosure showed the main JWT being passed via URL fragments to user-built apps, allowing malicious user code to capture full account access. Until Base44 moves to httpOnly cookies, treat tokens as exposed and minimize what they can do.

What is the highest-severity Base44 vulnerability disclosed in the last year?

The July 2025 SSO bypass disclosed by Wiz allowed any attacker to register a verified account on a private SSO-only app using only the publicly visible app_id. The patch shipped within 24 hours, but the underlying assumption — that app_id is a sufficient access control — is structural. Audit any pre-July-2025 app that relied on SSO-only access, and re-verify that registration endpoints actually check the org domain.

Does Base44 enforce row-level security like Supabase does?

Not by default. Base44 has RLS configuration, but the documented default is that all authenticated users see all data. RLS rules are opt-in and easy to misconfigure. Until you have explicitly added a created_by ownership filter to every list query and verified it with a second-account test, assume your data is globally readable to any logged-in user.

How do I add a Content Security Policy to a Base44 app?

Base44 does not expose direct response-header configuration in the UI. The workaround is to attach headers via a backend function that renders the page shell, or to put the app behind a proxy (Cloudflare Workers, Vercel rewrite) that adds CSP, HSTS, X-Frame-Options, and Permissions-Policy. Without a proxy, you cannot ship a strict CSP, which is one of the strongest arguments for migrating production traffic off the platform.

What should I monitor for security incidents in a live Base44 app?

Watch credit-burn rate (sudden spikes mean an attacker is hitting AI endpoints or your app is in a regression loop), failed-auth volume by IP, new account creation rate, webhook signature failures, and any change to the app_id-to-domain mapping. Base44 does not surface most of these natively, so you will need to ship logs out via a backend function to a third-party SIEM or, at minimum, Plausible plus Sentry.

Base44 Security Hardening Checklist: 32 Concrete Steps for Production Apps

Why this matters

Base44 markets itself as a vibe-coding platform: the AI generates working apps in minutes, and most users treat the output as production-ready. It is not. The platform ships with security defaults tuned for prototyping, and three high-severity vulnerabilities — SSO bypass, stored XSS, JWT leakage — were publicly disclosed in 2025 by Wiz and Imperva. Every one of those was structural, not a one-off bug. The platform's permissive trust model means you have to harden manually.

This checklist is the working list we run on every Base44 audit. Thirty-two items, grouped by category, each with a concrete action. Score yourself: anything below 28 of 32 should not be live with real users.

1. Authentication and session management (items 1–6)

Base44's July 2025 SSO bypass worked because registration accepted any email that matched a private app's app_id, without checking the email's domain against the organization's allowed domains. Confirm your signup flow rejects anyone outside @yourcompany.com. Test by attempting to register with a Gmail address against a private app. If it succeeds, your bypass is unpatched at the application layer.

Item 2. Require email verification before any data access

Base44's default flow lets unverified users read entities. Add an email_verified === true check on every backend function and entity-list call. Treat unverified accounts as logged-out. This single rule blocks the most common credential-stuffing path.

Item 3. Move tokens out of local storage where possible

Base44 stores JWTs in localStorage, which any in-page script can read. Until the platform moves to httpOnly cookies, mitigate by: (a) shortening token TTL to 15 minutes, (b) rotating on every privileged action, (c) refusing to render any user-generated HTML in your app shell. The combination does not eliminate the risk but caps the blast radius.

Item 4. Add a session-timeout enforcement on the server

Front-end session timers are advisory. Add a backend function that checks token age on every privileged request and returns 401 if the token is older than your policy. Without this, a stolen token works until the platform's default expiry, which has historically been measured in days.

Item 5. Lock the password reset flow against email enumeration

Base44's default reset endpoint returns different responses for "user exists" vs "user does not exist," which lets attackers enumerate your user base. Wrap the reset call in a backend function that always returns the same generic response and 200 status, regardless of whether the email matched.

Item 6. Enable multi-factor authentication for any account with admin entity access

Base44 supports MFA but it is opt-in. Require it for any user with role-based admin permissions. If the platform's role system is not granular enough for your model, add a role field on the user entity and gate sensitive endpoints in your backend functions.

2. Data access and row-level security (items 7–12)

Item 7. Add an ownership filter to every entity list query

Default Base44 behavior is that Entity.list() returns every record in the entity, scoped only by the entity name. Convert every list call to filter by created_by === currentUser.email (or your equivalent ownership column). The change is one line per call site but you must do it everywhere — a single missed call leaks the table.

Item 8. Audit RLS rules with a second account, not just the owner account

RLS rules pass for the user who wrote them and silently fail for users with different roles. Run every list and read query as a second account with no entitlements. Anything that returns data is a leak. Repeat this for every role you support.

Item 9. Restrict client-side `Entity.update()` to fields the user owns

Base44's client SDK lets the browser issue arbitrary updates. Move every update through a backend function that validates the user owns the row, and returns 403 otherwise. Do not rely on the client to send the right id — assume the client is hostile.

Item 10. Reject any client request that includes a `role` or `permissions` field

If your user entity has a role column, the client must never be able to write to it. Strip those fields server-side on every update path. This blocks privilege escalation via crafted requests.

Item 11. Validate enum and foreign-key fields server-side

The Base44 SDK validates types but not value sets. A status field meant to be pending | approved | rejected will accept god_mode if your code allows it. Add server-side enum validation in a backend function for every status-like column.

Item 12. Encrypt sensitive PII at rest using a backend-only key

Base44 stores entity data in plaintext on its managed Postgres. For HIPAA, PCI, or any regulated workload, encrypt sensitive columns (SSN, payment metadata, health data) with a key held only in backend function environment variables. Decrypt on read in the backend, never on the client.

3. Secrets, environment, and credentials (items 13–18)

Item 13. Move every API key out of frontend code

Stripe keys, Twilio tokens, OpenAI keys — none of these belong in client-side code. The Base44 frontend is JavaScript; anything in it is a public secret. Put every key into a backend function's environment variables and proxy calls through your own functions.

Item 14. Rotate all secrets after Base44 onboarded any contractor

Base44's IDE has historically had broad team-member access to environment variables. If a contractor or freelancer ever logged into your project, rotate every secret on their offboarding date. Treat the platform's role system as advisory, not enforced.

Item 15. Disable AI access to environment variables

The Base44 agent can read your environment configuration. If you never want a key visible to the agent (and therefore in the agent's training-feedback pipeline if any), use a backend function that pulls the secret from a dedicated vault (1Password Connect, Doppler, AWS Secrets Manager) at request time rather than storing it in the platform.

Item 16. Verify webhook signatures from every third party

Stripe, Twilio, and Auth0 all sign their webhooks. Validate the signature in your backend function and reject mismatches with 401. Without signature verification, anyone who knows your webhook URL can forge events.

Item 17. Use a unique webhook URL per third-party integration

A single shared webhook endpoint is harder to scope and rotate. Give each integration its own URL path so you can disable a compromised one without breaking the others.

Item 18. Document every external integration in a single secrets registry

A spreadsheet or 1Password vault that lists every key, its rotation date, who owns it, and what breaks if it leaks. Without this, you will never rotate after a contractor offboard or a vendor breach.

4. Headers, transport, and platform configuration (items 19–23)

Item 19. Set HSTS via a CDN proxy in front of Base44

Add Strict-Transport-Security: max-age=31536000; includeSubDomains; preload via Cloudflare or Vercel rewrite. Base44 does not expose this header configuration directly. Without HSTS, downgrade attacks on public Wi-Fi are trivial.

Item 20. Add a strict Content Security Policy through the same proxy

A baseline CSP for a Base44 app: default-src 'self'; script-src 'self' 'unsafe-inline' base44.app; connect-src 'self' base44.app *.stripe.com; frame-ancestors 'none';. Tighten further once you know your asset origins. The unsafe-inline is required because Base44 emits inline scripts; pressure the platform to fix that or accept the residual XSS risk.

Item 21. Set X-Frame-Options or frame-ancestors to deny

Block clickjacking by refusing to be framed. Either header works. Without it, an attacker can iframe your app inside a malicious page and trick users into clicking through state changes.

Item 22. Disable referrer leakage via Referrer-Policy

Referrer-Policy: strict-origin-when-cross-origin prevents URL parameters from leaking to third-party domains via the Referer header. Critical if your URLs ever contain tokens or IDs.

Item 23. Run an SSL Labs scan against your custom domain monthly

Base44's TLS configuration changes without notice. A monthly Qualys SSL Labs run catches downgrades, expired chains, and weak cipher suites before users do.

5. Cross-site scripting and input handling (items 24–26)

Item 24. Sanitize every field rendered as HTML

If any entity has a description, notes, or bio field that you render as HTML rather than text, run it through DOMPurify with an allow-list before rendering. The Imperva-disclosed XSS vector existed because user-controlled HTML was rendered unfiltered.

Item 25. Refuse markdown rendering of user content unless the renderer is sandboxed

Markdown renderers vary in safety. If you render user-supplied markdown, use a renderer with built-in HTML escaping (markdown-it with html: false) or render inside a sandboxed iframe.

Item 26. Validate file uploads server-side, not just by MIME type

A user can upload a .exe file with a image/png MIME type. Re-check the file's magic bytes server-side, reject anything not on your allow-list, and store uploads in a domain-isolated bucket so a malicious file cannot run as same-origin script.

6. Billing, abuse, and rate limiting (items 27–29)

Item 27. Cap AI generation per user per day

Base44's credit pool is shared across your whole app. A single abusive user can drain it. Add a per-user daily cap on AI-triggering endpoints and return 429 above the cap. Without this, your monthly bill is one Reddit post away from doubling.

Item 28. Monitor credit burn rate and alert on anomalies

Pull credit consumption via the platform's billing API into a Plausible or Datadog dashboard. Alert if the daily rate exceeds 2x the trailing 14-day average. Anomalous burns are usually one of: regression loops, abusive users, runaway AI agent loops.

Item 29. Set a hard ceiling on third-party paid integrations

Stripe, Twilio, and SendGrid bills can run up faster than your credit balance. Configure each integration's per-day spend cap in their dashboard, not just in your application logic.

7. Logging, observability, and incident response (items 30–32)

Item 30. Ship structured logs out of Base44 to a third party

Base44's built-in logging is shallow. From every backend function, emit a structured JSON log to Logflare, Axiom, or Datadog. Include request ID, user ID, latency, error class. Without external logs, post-incident forensics is impossible.

Item 31. Maintain a written incident response plan with platform-specific steps

Document: how to revoke a compromised user, how to rotate every secret, how to disable a webhook, how to roll back a deploy, who to contact at Base44 (and the realistic response time, which has historically been days). Print it. Test it once a quarter.

Item 32. Have a documented exit plan with timeline and cost estimate

If Base44 has a multi-day outage or another disclosure forces you off the platform on short notice, you need a pre-approved migration target. We recommend Next.js + Supabase or self-hosted Postgres + a Vercel front-end. See our Base44 to Next.js + Supabase migration playbook for the canonical version.

Common mistakes teams make

Trusting the platform's defaults. The most damaging mistake. Base44's defaults are tuned for fast prototyping; they are aggressively wrong for production. Every default should be flipped or audited.

Reviewing the AI-generated code, not the data layer. Most teams audit the JavaScript the agent emits and miss that the entity layer is globally readable. Code review without an entity-permission audit is theater.

Assuming HTTPS is enough. It encrypts transit. It does not stop XSS, account takeover, broken auth, or RLS misconfiguration.

Treating compliance like a checklist. HIPAA, PCI, and SOC 2 require continuous controls, not a one-time review. If you are in a regulated industry on Base44, see our is base44 production ready decision framework before going live.

Never testing with a second account. Most data leaks are invisible to the developer because the developer is always logged in as the owner. Every list query needs a hostile-user test.

Hardening summary checklist

#	Item	Severity if missed
1	SSO domain verification on signup	Critical
2	Email verification before data access	Critical
3	Token TTL and rotation	High
4	Server-side session timeout	High
5	Reset flow blocks enumeration	Medium
6	MFA for admin roles	High
7	Ownership filter on every list	Critical
8	RLS audit with second account	Critical
9	Backend-only updates	High
10	Strip role/permission writes	Critical
11	Server-side enum validation	Medium
12	PII encryption at rest	Critical (regulated)
13	API keys backend-only	Critical
14	Rotate after contractor offboard	High
15	Vault external secrets	Medium
16	Webhook signature validation	Critical
17	Unique webhook URLs per integration	Medium
18	Documented secrets registry	Medium
19	HSTS via proxy	High
20	Strict CSP via proxy	High
21	X-Frame-Options / frame-ancestors	High
22	Referrer-Policy	Medium
23	Monthly SSL Labs scan	Medium
24	DOMPurify on HTML fields	Critical
25	Sandboxed markdown rendering	High
26	Magic-byte file validation	High
27	Per-user AI generation cap	High
28	Credit-burn anomaly alerts	High
29	Third-party spend caps	Medium
30	External structured logs	High
31	Written incident response plan	High
32	Documented exit plan	Medium

Want us to audit your Base44 app for security?

Our $497 production audit walks every one of these 32 items against your live app, runs second-account tests, and delivers a prioritized fix list with severity scores. If we find a critical issue, the audit fee credits against any fix-sprint engagement. Order an audit or book a free 15-minute call.

Base44 Production Readiness Guide — the broader launch readiness picture, of which security is one pillar.
OWASP Top 10 in Base44 — a per-OWASP-category walkthrough of how each risk manifests on the platform.
Base44 Authentication Patterns — concrete patterns for login, MFA, session handling, and SSO that compose with this checklist.

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