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I will audit your ai generated or vibe coded app for security flaws
Penetration Testing And Web Security
I help businesses identify security weaknesses before they become real problems. My focus is penetration testing, vulnerability assessment, web application security, and API security testing. I assess...
About this Gig
Built your app with Lovable, Bolt, Cursor, Replit, v0, Claude, ChatGPT or another AI coding tool? Before you launch, find out what the AI missed.
I will audit your AI-generated or vibe-coded application for security weaknesses across the source code, authentication, APIs, database permissions, configuration and live application behavior.
Depending on your package, I check for exposed API keys and secrets, broken authentication, broken access control, IDOR, insecure APIs, injection vulnerabilities, XSS, CSRF, CORS issues, insecure database rules, sensitive data exposure, vulnerable dependencies, security misconfigurations and business-logic flaws.
For AI-enabled applications, I can also assess relevant risks such as prompt injection, insecure AI integrations, excessive permissions and sensitive context/data exposure.
You receive a severity-ranked security report with affected areas, evidence/PoC where applicable, business impact and practical remediation guidance.
I can audit SaaS products, MVPs, dashboards, portals and web applications built with Lovable, Bolt, Cursor, Replit, v0, Base44 and similar AI development tools.
Audit only, or audit + remediation and retesting.
Cloud provider:
Microsoft Azure
Expertise:
Debugging
•
Performance
Cloud computing resource:
Route53
•
Security Groups
My Portfolio
FAQ
What is an AI or vibe-coded app security audit?
It is a security review of applications created partly or primarily with AI coding tools such as Lovable, Bolt, Cursor, Replit, v0, Base44, Claude or similar platforms. I review the code, configuration and application behavior to identify security weaknesses before they become production problems.
Why should I security-audit an application built with AI?
AI coding tools can generate functional code quickly, but they don't guarantee secure authentication, authorization, database rules, API exposure, secret management or safe business logic. A security audit identifies those weaknesses before launch.
What AI-built platforms can you audit?
I can work with applications created using Lovable, Bolt.new, Cursor, Replit, v0, Base44, Claude, ChatGPT and similar AI development tools. The underlying technology matters more than the specific AI builder.
Do you review the source code?
Yes. Depending on the package, I review application code, dependencies, configuration, authentication logic, API implementation and security-sensitive components.
Do you test the live application too?
Yes. Standard and Premium can include live application testing in addition to source-code review. This helps identify vulnerabilities that may not be obvious from static code inspection.
Do you check Supabase and Firebase security?
Yes. Where applicable, I can review Supabase Row Level Security, database permissions, Firebase security rules, authentication configuration and exposed data access.
Do you test AI/LLM security?
If your application actually uses an LLM, I can assess relevant AI security risks such as prompt injection, insecure AI integrations, excessive permissions, sensitive data exposure and unsafe handling of model output. The exact testing depends on the architecture.
Will you fix the vulnerabilities you find?
The Basic and Standard packages focus on identifying and documenting vulnerabilities. Premium can include remediation of agreed critical/high-risk issues followed by retesting.
What will I receive after the audit?
You receive a structured report with severity-ranked findings, affected components, evidence/PoC where applicable, impact and recommended remediation steps.
Do you need access to my GitHub repository?
For source-code review, yes, you can provide repository access or the relevant project files. For a black-box assessment, a live/staging URL and appropriate test credentials may be sufficient.
