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description=You shipped fast. Penetrify tells you what you broke in 10 minutes. AI-powered penetration testing for startups and teams that move fast.;

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Text of the page (random words):
rity reproduction steps and concrete fix guidance written for developers not compliance officers crit broken auth email verification bypass fix guide med no rate limiting on api login fix guide low missing csp and x frame options fix guide view the full sample report ️ safe by design penetrify never modifies your data never writes to your database and never performs destructive actions all testing is read only and non invasive your users won t notice a thing your app stays up your scan data is hosted entirely in the eu encrypted and never shared with third parties gdpr compliant by design read only scanning no data modification non invasive zero downtime impact your data stays yours ai penetration testing for web applications api security testing automation autonomous owasp vulnerability scanning ci cd penetration testing multi step attack chain simulation 47 checks per endpoint owasp top 10 full coverage 5 false positive rate 0 destructive actions coverage what penetrify tests penetrify runs the same checks a senior security engineer would not just cve lists but active reconnaissance and chained attack logic across every layer of your application here is what the ai agent covers on every scan authentication session management the agent tests all critical authentication flows not just whether a login form exists but whether it can be bypassed it attempts email verification bypasses token replay attacks broken password reset flows session fixation and missing rate limiting on credential endpoints common findings 5 email verification not enforced on protected endpoints session tokens not rotated on privilege escalation no account lockout after repeated failed logins brute force possible jwt algorithm confusion attacks rs256 hs256 downgrade password reset tokens without expiry or single use enforcement authorization access control idor insecure direct object references idor are the most frequently exploited vulnerability class in modern web applications penetrify systematically replaces user controlled identifiers across all endpoints and checks whether ownership is enforced consistently on every route common findings 5 api users id accessible by any authenticated user not just the record owner export or download endpoints accepting user ids without ownership checks admin only routes reachable by regular user accounts horizontal privilege escalation through guessable or sequential resource ids database row level security rls policies missing or misconfigured injection input validation the engine tests for sql injection nosql injection command injection xpath injection and server side template injection across all input vectors form fields query parameters http headers json bodies and file uploads common findings 5 sql injection in search filter and pagination parameters reflected xss through user input rendered without html encoding stored xss in user supplied content fields names bios comments server side template injection ssti in templating engines jinja2 twig handlebars xml external entity xxe injection via file upload or xml api endpoints api security modern applications are api first penetrify automatically maps rest and graphql apis testing for broken object level authorization missing authentication on internal routes verbose error disclosure unsafe cors policies and graphql introspection left open in production common findings 5 unauthenticated api routes returning sensitive user data wildcard cors access control allow origin enabling cross origin authenticated reads api responses including hidden or shadow fields not shown in the ui graphql introspection enabled in production exposing the full schema to anonymous requests mass assignment vulnerabilities accepting undocumented fields in api request bodies ️ configuration secret exposure beyond application logic penetrify checks http security headers debug mode dependency version disclosure and whether api keys or credentials are exposed in javascript bundles environment variables or api error responses common findings 5 missing security headers content security policy x frame options hsts referrer policy debug endpoints or verbose stack traces exposing internal file paths and framework versions api keys and secrets embedded in client side javascript bundles served to the browser sensitive data returned in api error responses stack traces db connection strings open redirect vulnerabilities on login or callback endpoints usable for phishing how the ai engine approaches each scan unlike traditional scanners that fire fixed payloads at every field penetrify s ai agent first maps the full attack surface discovering endpoints understanding data flows and identifying authentication boundaries it then chains findings together a leaked endpoint becomes a reconnaissance target an unauthenticated route becomes an authorization test a verbose error reveals an injection surface this context aware approach is why penetrify maintains a false positive rate below 5 while catching vulnerability chains that single check scanners miss entirely explore explore penetrify compare alternatives side by side comparisons security blog latest insights research ci cd integration automate security testing security statistics real vulnerability data security glossary cybersecurity a z example findings what penetrify catches in real world apps representative examples of what penetrify finds from weekend mvps to funded companies passing enterprise security reviews illustrative scenarios built from real vulnerability classes not named customers the exact kind of issues that get exploited or block a deal before you even know they exist case study 1 the weekend mvp that leaked every user s data saas productivity tool next js supabase shipped in 48 hours 2 critical 3 medium 8 min scan time the situation a solo founder built a task management saas during a weekend hackathon and launched on product hunt within days the app used next js with supabase for auth and database everything looked polished clean ui working login stripe integration within the first week 200 users signed up what penetrify found critical supabase row level security rls policies not enabled on the profiles table any authenticated user could query all user records via the rest api critical email verification not enforced accounts could be created with arbitrary emails and immediately access protected endpoints medium api route api export accepted user id as query parameter with no ownership check idor medium no rate limiting on login endpoint brute force attacks possible at 500 req s medium jwt tokens stored in localstorage with no expiry rotation the outcome the founder fixed the rls policies and email verification within 2 hours using supabase s dashboard no code rewrite needed the idor was a one line middleware fix total remediation time half a day without the scan these issues could have sat exposed for months the supabase rls gap alone would have been a reportable data breach under gdpr case study 2 the no code marketplace with admin level api keys in the frontend two sided marketplace bubble io stripe connect 1 500 users 1 critical 4 medium 12 min scan time the situation a two person team built a freelance marketplace using bubble io handling payments through stripe connect the platform had processed 40k in transactions and was growing through word of mouth neither founder had a security background they assumed bubble s platform handled security for them what penetrify found critical stripe secret api key exposed in client side javascript bundle full read write access to payment data refunds and customer records medium bubble privacy rules misconfigured seller bank account details visible to any logged in user via api calls medium password reset flow accepted any email without verification enabling account enumeration medium no content security policy reflected xss possible through search parameter injection low cors policy set to wildcard allowing any origin to make authenticated requests the outcome the exposed stripe key was the most urgent issue with it an attacker could have issued refunds accessed pii or redirected payouts the founders rotated the key immediately the stripe key had been exposed for 4 months without anyone noticing total cost of not finding this potentially the entire business case study 3 the ai wrapper startup that forgot about its own api ai writing tool python fastapi react yc application stage 1 critical 2 medium 7 min scan time the situation a technical founder built an ai writing assistant using fastapi on the backend and react on the frontend the product proxied calls to openai s api adding custom prompts and user history the app was gaining traction on twitter x and the founder was preparing a yc application roughly 800 users on a freemium model what penetrify found critical openai api key passed to frontend in response headers any user could extract it and use the founder s api credits directly est 2k month burn medium user prompt history endpoint api history userid had no auth middleware all users conversation logs accessible by changing the id medium debug mode still enabled in production fastapi debug true full stack traces with internal paths and dependency versions exposed on errors low no https redirect http version of the app served without redirect allowing session hijacking on public networks the outcome the founder was unknowingly burning money from api key abuse unexplained spikes in openai billing turned out to be external usage via the leaked key the prompt history idor was especially sensitive all fixes were deployed within 3 hours most were single line changes the founder now runs a penetrify scan before every major release case study 4 the series a fintech that unblocked its enterprise deals b2b payments platform node js postgresql 45 employees no in house security 3 critical 6 medium 18 min scan time the situation a series a fintech with 45 employees and 3m arr was closing its first enterprise contracts every prospect s security team sent a vendor questionnaire and asked for a recent third party penetration test with no in house security team a 25k quote for a manual pentest and a four week lead time two six figure deals were stuck in security review what penetrify found critical multi tenant data isolation flaw org_id not enforced on api v1 transactions letting any authenticated tenant read another company s payment records critical admin api authenticated by a static key that had been committed to a public npm package granting full access to all tenant data critical password reset tokens were not single use replaying a token enabled account takeover of any user by email address medium verbose sql errors returned to the client disclosing schema table names and the orm version medium no rate limiting on otp verification 6 digit codes brute forceable within minutes medium employee sso sessions not revoked on offboarding former staff retained dashboard access the outcome the multi tenant isolation bug was the kind of finding that ends a fintech the team remediated all three criticals in a single sprint and attached the penetrify report to its next questionnaire response both enterprise contracts that had been stuck in security review closed within the month they now run a scan before every release and re share the report with each new prospect turning security from a deal blocker into a sales asset start your first scan no credit card to sign up first scan 29 credited to your plan results in 30 min what users say trusted by founders ctos and security teams caught a supabase rls misconfiguration in 9 minutes without this scan every user s profile was readable by any authenticated user would have been a gdpr breach a alex m solo founder productivity saas 300 users found our stripe secret key exposed in the frontend javascript bundle it had been there for 4 months key rotated within the hour without penetrify that s the entire business gone s sarah k co founder freelance marketplace 1 200 users we run it before every deploy in 2 months it caught 3 regressions in our auth flow before they shipped at 1 700 month it s the cheapest engineer on the team d david r cto ai writing tool yc w26 our biggest prospect s security team wanted a recent penetration test before signing we had no security hire and no 25k for a manual engagement penetrify gave us an audit ready report in under an hour the contract closed two weeks later m martina h head of engineering b2b saas 60 employees who s behind this built by a cto not a marketing team viktor bulanek founder cto 20 years building and securing production systems at scale from fintech platforms processing millions in transactions to iot infrastructure managing real time energy grids i built penetrify because startups deserve the same security testing that enterprises pay 15 000 50 000 for msc it security masaryk university 4x ex cto fintech iot saas pricing simple transparent pricing every plan runs the same full pentest pick how often you scan more scans means a higher testing cadence from a monthly check to a scan on every deploy no hidden fees no sales calls monthly annual save 20 starter 100 month perfect for side projects and early mvps monthly security check for side projects early mvps 1 penetration test per month automatic and semi automatic modes standard vulnerability scanning pdf reports email support 30 day result history get started growth 900 month for startups running regular security checks roughly weekly scans for teams shipping often 10 penetration tests per month all starter features advanced vulnerability detection pdf reports email support 60 day result history get started most popular professional 1 700 month best for growing teams and businesses scan on every release up to 20 deploys month 20 penetration tests per month all growth features custom report branding api access priority support 24h response 90 day result history team collaboration up to 5 users get started business 4 000 month for scaling companies with continuous testing needs scan on most deploys continuous testing at scale 50 penetration tests per month all professional features dedicated account manager custom integrations sla guarantee 99 9 uptime unlimited team members 180 day result history get started best value enterprise 7 500 month for large organizations with custom requirements scan on every deploy compliance reporting soc 2 iso 27001 100 penetration tests per month all business features dedicated security consultant phone support unlimited result history white label reports compliance reporting soc 2 iso 27001 contact us quick answers everything you need to know how much does ai penetration testing cost penetrify starts at 100 month for the starter plan 1 scan month 900 month for growth 10 scans month 1 700 month for professional 20 scans month 4 000 month for business 50 scans month and 7 500 month for enterprise 100 scans month annual bill...