Pre-launch pentest for vibe-coded SaaS (Cursor, Lovable, Bolt.new, v0, Replit Agent) is the cheapest insurance against shipping a public CVE on day one. Typical findings distribution from our engagements: 1 to 2 critical, 3 to 5 high, 5 to 10 medium, 5 to 10 low / informational on the first pentest. Most criticals and highs are predictable patterns: Supabase Row Level Security disabled, AI API keys in client bundles, Stripe webhooks without signature verification. This post is the pre-launch pentest scope, timeline, and decision framework for founders launching vibe-coded SaaS in 2026.
Key findings
- Pre-launch pentest minimum scope: authentication, authorization, payment integration (if present), secret exposure scan, rate limiting on AI endpoints, CORS / CSRF posture, dependency CVE scan, prompt-injection testing on LLM-backed features.
- Skip pre-launch: mobile pentest, infrastructure / cloud configuration review, social engineering, physical security. Cover later when an enterprise customer asks.
- Timeline: 7 days fieldwork + 5 to 10 days report = 12 to 17 days from kickoff to delivered report. Plus 2 to 4 weeks for fixes + 7 days for retest = 4 to 7 weeks decision-to-clean-retest.
- Typical findings distribution on first pentest of vibe-coded SaaS: 1 to 2 critical + 3 to 5 high + 5 to 10 medium + 5 to 10 low.
- Most common criticals / highs: Supabase RLS disabled, service-role key exposed in client bundle, Stripe webhook signature missing, AI API key client-bundled, IDOR on user-scoped endpoints, authentication middleware skipped on catch-all routes.
- Pricing benchmark: Cybersecify Startup Pentest INR 74,999 covers 1 scope (web app OR public API), 7 days fieldwork, 6 hours founder-led consulting, 1 free retest. Designed for pre-launch and pre-Series-A.
- When to pre-launch pentest: handling payment data, PII, authentication credentials, or AI features that process user data. Or launching to >100 users on day one.
- When to defer: launching with <50 users for feedback gathering. Pentest 4 to 6 weeks after launch when scaling decision is made.
Cybersecify is a founder-led penetration testing firm based in Bengaluru, India, serving AI-first and API-first SaaS startups. We have pentested vibe-coded SaaS at pre-launch across India, Australia, Hong Kong, EU, and the US. The scope and findings patterns below come from real engagements. For the deliverable format, see our SOC 2 + ISO 27001 ready pentest report sample.
Why pre-launch pentest matters more for vibe-coded SaaS
Vibe-coded SaaS ship faster than human-written code. Cursor, Lovable, Bolt.new, v0, and Replit Agent compress the build-to-deploy cycle from weeks to days. The founder iterates with the LLM, the LLM scaffolds the code, the founder deploys.
This speed is the value proposition AND the security risk. Three reasons pre-launch pentest matters more here than for human-written stacks:
1. Insecure defaults are LLM-default. Cursor scaffolds Supabase tables without RLS. Lovable defaults CORS to allow-all. Bolt.new generates Stripe webhook handlers without signature verification. The LLM is optimizing for code that runs, not code that is secure. The founder accepts the LLM’s output, ships it, and the security gaps deploy with it.
2. Dependency CVE lag is structural. The LLM training cutoff lags the npm release cadence. Apps generated in 2026 often use libraries patched in 2025-2026 for CVEs the LLM doesn’t know about. npm audit catches most; pentest catches the ones with no public advisory yet.
3. Founder review velocity loses the discipline. Real-time iteration with an AI assistant feels productive. It bypasses the “two-person rule” most engineering teams use to catch security mistakes in code review. The founder reviewing their own LLM output is acceptable as a control; the absence of any documented review process is a gap.
A pre-launch pentest is the independent third-party check that catches what real-time founder + LLM iteration misses.
Pre-launch pentest scope (8-point checklist)
1. Authentication and session handling
Test the full auth lifecycle:
- Signup (rate limiting, email verification, password complexity enforcement)
- Login (rate limiting, brute-force protection, account lockout posture)
- Logout (session invalidation, multi-session handling)
- Password reset (token expiry, token rotation, secure reset URL handling)
- MFA enrollment + verification (if implemented)
- OAuth flows (if Clerk / Auth0 / Supabase Auth)
Common findings: password reset tokens that don’t expire, session invalidation that doesn’t propagate to other devices, MFA bypass via session-fixation, account enumeration via different error messages on login.
2. Authorization and access control
Test the boundary between users:
- Supabase RLS coverage on every customer-data table
- Role-based access control (admin vs customer vs support)
- IDOR on every user-scoped resource (try accessing user B’s data as user A)
- Multi-tenant isolation (if multi-tenant)
- API endpoint authorization (every API route has explicit auth check)
Common findings: RLS disabled on a table, RLS policy using wrong column, IDOR on a resource ID parameter, admin endpoints accessible to non-admins, multi-tenant data leakage across tenants.
3. Payment integration (if Stripe / Razorpay wired)
Test the payment flow:
- Webhook signature verification (
stripe.webhooks.constructEvent) - Idempotency (replay of same event doesn’t double-charge)
- Success-page server-side validation (don’t trust URL parameters)
- Webhook endpoint exposure (no enumeration of payment events)
Common findings: webhook handler accepts unsigned events, success page trusts URL parameters, webhook endpoint reveals event IDs in response.
4. Secret exposure scan
Test for leaked secrets across:
- Client bundle (
grep -r "sk-" .next/static/,grep -r "sk-ant-" dist/) - GitHub history (trufflehog, git-secrets)
- Environment variable misconfiguration (
NEXT_PUBLIC_*prefix on backend secrets) - Error-tracking retained payloads (Sentry, LogRocket request body retention)
Common findings: OpenAI API key in client bundle, Supabase service-role key in client bundle, Stripe secret key in error-tracking logs, AWS access key in committed .env file.
For deeper coverage of AI API key exposure specifically, see AI API Key Leaks in Vibe-Coded SaaS (Pentest Patterns).
5. Rate limiting
Test against:
- Authentication endpoints (brute-force resistance)
- AI endpoints (LLM call abuse see AI API key leaks article for the 3-layer rate-limiting pattern)
- Payment endpoints (signup-and-pay abuse)
- Any expensive operation (file uploads, report generation, search)
Common findings: no rate limiting on AI endpoints (OpenAI billing burns within hours of launch under abuse), no rate limiting on signup (account flooding), no rate limiting on password reset (email flooding).
6. CORS and CSRF posture
Test:
- CORS configuration (
Access-Control-Allow-Originshould be specific origins, not*) - CSRF tokens on state-changing endpoints
- SameSite cookie posture
Common findings: CORS * in production, missing CSRF tokens on POST endpoints, missing SameSite=Lax/Strict on session cookies.
7. Dependency CVE scan
Run:
npm audit --productionorbun audit- Snyk or similar SaaS scan
- GitHub Security Advisories review
Expectation: no high or critical CVEs unpatched. Medium / low CVEs documented with remediation plan.
8. Prompt-injection testing on LLM-backed features
If the SaaS has any LLM-backed feature (chatbot, content generation, summarization, agent function), test:
- Direct prompt injection (user input that overrides system prompt)
- Indirect prompt injection (user-controlled data that flows into the LLM prompt)
- Jailbreak attempts (bypass of safety filters)
- Data exfiltration via prompt manipulation
Common findings: user input flows directly into LLM prompt without sanitization, system prompt revealed via leak attack, AI feature processes user data without permission check.
What NOT to pentest pre-launch
Save these for later when an enterprise customer asks:
- Mobile pentest irrelevant if no mobile app
- Infrastructure / cloud configuration review (AWS, GCP, Azure security posture) adds 5+ days and INR 2L+ to the engagement. Defer until Series A or enterprise customer asks
- Social engineering typically required for SOC 2 Type 2, not for pre-launch
- Physical security typically required for ISO 27001 Annex A, not for pre-launch
- Penetration of third-party SaaS integrations the integration vendor’s responsibility, not yours
Including these in pre-launch scope expands the engagement to INR 2L+ for no marginal value if you don’t have a specific buyer ask requiring them.
Timeline pre-launch pentest end-to-end
| Day | Activity |
|---|---|
| D-0 | Discovery call. Scope confirmed (web app OR public API, 1 scope) |
| D+0 | Engagement kickoff. Test environment access, credentials, scope walkthrough |
| D+1 to D+7 | Pentest fieldwork (manual + tool-assisted testing) |
| D+8 | Initial findings shared with founder. Founder begins remediation |
| D+10 to D+15 | Pentest report drafted and delivered |
| D+15 to D+35 | Founder fixes critical + high findings. Optional consulting hours pairing on architectural decisions |
| D+35 | Retest kickoff. Validate fixes for critical + high findings |
| D+40 | Retest report delivered. Engagement complete |
Decision-to-clean-retest: 5 to 7 weeks. For pre-launch SaaS targeting launch 6+ weeks out, this fits without timeline pressure. For SaaS already launched with paying customers, the same scope but the urgency shifts.
Decision matrix when to pentest pre-launch vs defer
| Scenario | Recommendation |
|---|---|
| Pre-launch, handling payment data (Stripe, Razorpay) | Pentest BEFORE launch. Webhook signature missing = financial fraud risk |
| Pre-launch, handling PII (signups with names, emails, addresses) | Pentest BEFORE launch. DPDP Act + GDPR exposure |
| Pre-launch, handling authentication credentials (every SaaS) | Pentest BEFORE launch. Auth flow gaps = account takeover risk |
| Pre-launch, LLM-backed features processing user data | Pentest BEFORE launch. AI API key leak = financial abuse + data exposure |
| Pre-launch, launching to >100 users on day one | Pentest BEFORE launch. Abuse surface is meaningful |
| Pre-launch, launching to <50 users for feedback | OK to defer. Pentest 4 to 6 weeks after launch when scaling decision made |
| Already launched, no security review yet | Pentest urgently (within 30 days) |
| Series A diligence in 90 days | Pentest immediately (8 to 12 weeks lead time) |
| Enterprise customer asking for pentest report | Pentest immediately (Growth scope, not Startup) |
Sharp recommendations
If you built a vibe-coded SaaS with Cursor, Lovable, Bolt.new, v0, or Replit Agent and you are launching in the next 4 to 8 weeks, pentest now. The lead time is 5 to 7 weeks decision-to-clean-retest; don’t compress this.
If you launched already without a pentest, pentest within 30 days. The longer you wait, the more findings stack up and the harder remediation becomes. Vibe-coded SaaS shipping at high cadence accumulates security debt fast.
Do not over-scope. Pre-launch pentest is INR 74,999 for the 1-scope web app. Do not pay INR 2L+ for an infrastructure + mobile + social engineering scope you don’t need yet. Add scope when an enterprise customer or investor asks.
Do not skip the retest. The first pentest finds gaps; the retest validates fixes. Cybersecify Startup Pentest includes 1 free retest within 6 months. Use it.
Do plan for the consulting hours. Startup Pentest includes 6 founder-led consulting hours useable within 6 months. Use them for remediation pairing, architecture questions on new features, or pre-Series-A diligence prep.
Where to go from here
If you are launching a vibe-coded SaaS in the next 4 to 8 weeks and want to pentest before launch, book a free 30-min call to scope the engagement. We will walk your stack (vibe-coding tool, framework, backend, payment integration, AI features), confirm Startup Pentest fits, and lock the timeline against your launch date.
For pricing, see Cybersecify Pentest Pricing. For the deliverable format, see our SOC 2 + ISO 27001 ready pentest report sample.
Related: Pentest Checklist for Vibe-Coded SaaS Apps, AI API Key Leaks in Vibe-Coded SaaS, SOC 2 Readiness for Vibe-Coded SaaS Startups, Vibe-Coded SaaS Investor Diligence: What VCs Check, How to scope your first pentest, Pentest Pricing Tiers Explained.
Frequently asked questions
Should a vibe-coded SaaS pentest before launch?
Yes. The cheapest insurance against shipping a public CVE on day one is a pre-launch pentest. Vibe-coded SaaS ship faster than human-written code but inherit predictable security gaps. A pre-launch pentest catches these before the first customer transaction, the first scraper bot, the first abuse-pool key burn. Cybersecify Startup Pentest INR 74,999 covers the 1-scope pre-launch scenario.
What is the minimum scope for a pre-launch vibe-coded SaaS pentest?
Authentication and session handling, authorization and access control (RLS, role-based access, IDOR on every user-scoped resource), payment integration if Stripe or Razorpay is wired, secret exposure scan (client bundle, GitHub history, environment variables, error-tracking payloads), rate limiting on AI endpoints and authentication endpoints, CORS and CSRF posture, dependency CVE scan, prompt-injection testing on any LLM-backed feature. Skip mobile, deep infrastructure, and physical security for the pre-launch scope.
How long does a pre-launch pentest take?
7 days fieldwork + 5 to 10 days for the report = 12 to 17 days from kickoff to delivered report. Plus 2 to 4 weeks for the founder to fix findings, then 7 days for the included retest. From decision to clean retest report: 4 to 7 weeks total.
What is included in Cybersecify Startup Pentest INR 74,999?
1 scope (web app OR public API), 7 days fieldwork by Rathnakara (OSCP, CompTIA PenTest+, M.Sc Cyber Security), manual + tool-assisted testing aligned to OWASP Web Security Testing Guide v5.0 and OWASP API Top 10, executive summary + detailed findings report + remediation guidance, 6 hours of founder-led consulting useable within 6 months, 1 free retest useable within 6 months. Excludes mobile pentest, infrastructure / cloud configuration review, social engineering, and physical security.
What does a pre-launch pentest find in a typical vibe-coded SaaS?
Typical findings distribution: 1 to 2 critical, 3 to 5 high, 5 to 10 medium, 5 to 10 low / informational. Most common criticals and highs: RLS disabled on customer-data table, service-role key exposed in client bundle, Stripe webhook signature missing, AI API key client-bundled, IDOR on user-scoped endpoint, authentication middleware skipped on catch-all routes.
When should a vibe-coded SaaS pentest after launch vs before?
Pentest before launch if handling payment data, PII, authentication credentials, or AI features that process user data. Pentest before launch if launching to >100 users on day one. Pentest after launch in 4 to 6 weeks if launched with <50 users gathering feedback. Pentest before Series A diligence (8 to 12 weeks lead time). Pentest annually thereafter for SOC 2 Type 2 and DPDP Act compliance evidence.
What is the difference between Startup Pentest INR 74,999 and Growth Pentest INR 1,79,999?
Startup Pentest INR 74,999 covers 1 scope, 7 days fieldwork, 6 hours founder-led consulting, 1 free retest. Designed for pre-launch or pre-Series-A. Growth Pentest INR 1,79,999 covers 2 scopes, 10 days fieldwork, 12 hours founder-led consulting useable within 12 months, SOC 2 + ISO 27001 evidence formatting, real-world attack simulation, 1 free retest within 12 months. Designed for Series A diligence preparation, enterprise customer onboarding, compliance attestation.