Your Vibe-Coded App Works—but Is It Secure?

Run This AI Security Review Before Your Next Release

The most dangerous sentence in vibe coding might be:

“It works, so let’s ship it.”

Your application loads. The buttons work. The database connects. Users can create accounts, submit forms, and complete payments.

Everything appears ready.

But while you were moving quickly—prompting, generating, testing, and deploying—your coding agent may have introduced security weaknesses that are difficult to notice during a normal development session.

An exposed API key.

An authorization check that only exists in the frontend.

A vulnerable dependency.

An endpoint that reveals more data than it should.

A database query that trusts user input.

A configuration that is safe locally but dangerous in production.

This does not mean AI-generated code is automatically insecure. It means that code created with AI needs the same serious security review as code written entirely by humans.

Before adding another feature to your vibe-coded project, pause and conduct a dedicated security assessment.

Why Vibe-Coded Projects Need a Separate Security Review

Vibe coding makes building software dramatically faster. You describe what you want, your coding agent generates an implementation, and you continue refining the project through conversation.

The problem is that development conversations usually focus on functionality:

• Build this feature.

• Fix this error.

• Connect this API.

• Add authentication.

• Deploy the application.

Security is rarely the main objective unless you explicitly make it one.

A coding agent may produce code that works without fully investigating how the application could be abused. It may also lack important context about your deployment environment, authentication system, database rules, internal permissions, or production configuration.

That is why security should be treated as its own task—not as a small final checklist before deployment.

Use Two Different Security Perspectives

A useful AI-assisted security review should examine your application from two angles.

1. Think Like an Attacker

Ask the coding agent to act as an authorized security researcher attempting to identify realistic ways someone could compromise the application.

The agent should investigate questions such as:

• Can users access another user’s records?

• Can protected endpoints be called without proper authorization?

• Can user-controlled input affect database queries, file paths, or system commands?

• Can someone bypass rate limits or abuse account recovery?

• Are administrative actions sufficiently protected?

• Are secrets exposed in the repository, client bundle, logs, or configuration files?

• Could uploaded files contain dangerous content?

• Can error messages reveal sensitive system details?

This attacker-focused perspective can uncover problems that are easy to miss when reviewing the project only as its creator.

2. Use Established Security Frameworks

The second approach is systematic.

Ask the agent to evaluate your project using recognized security principles such as:

• OWASP, for common web application and API security risks.

• STRIDE, for identifying spoofing, tampering, repudiation, information disclosure, denial of service, and elevation-of-privilege threats.

• Least privilege, ensuring every user, service, and system component receives only the access it genuinely needs.

• Defense in depth, so the security of your application does not depend on a single control.

• Secure-by-default configuration, especially across production environments.

The attacker mindset helps discover creative abuse cases. Security frameworks help ensure that important categories are not forgotten.

You need both.

Run the Review in Both Claude Code and Codex

Do not rely entirely on one coding agent’s assessment.

Run the security-review prompt independently in Claude Code and Codex when both are available to you.

Different agents may notice different weaknesses, interpret the architecture differently, or prioritize different risks. One agent might identify an authorization issue while the other catches a dangerous dependency or insecure configuration.

Treat the second review as an independent opinion—not as a replacement for professional penetration testing when your application handles sensitive, financial, medical, or high-risk data.

The Copy-and-Paste Security Review Prompt

Use the following prompt inside the root directory of your project. Run it separately in Claude Code and Codex.

I would like you to perform a comprehensive security assessment of this project.

Act as both:

1. An authorized security researcher attempting to identify realistic ways an attacker could compromise, abuse, or misuse the system.
2. A defensive application-security reviewer evaluating the project using recognized security principles, including the OWASP Top 10, OWASP API Security risks, STRIDE threat modeling, least privilege, defense in depth, and secure-by-default practices.

Begin by understanding the project before making conclusions.

Review the repository structure, application architecture, frameworks, dependencies, authentication system, authorization model, APIs, database access, external integrations, environment configuration, deployment files, file-upload functionality, logging, error handling, and any security controls already present.

Your assessment should include, where applicable:

- Authentication and session-management weaknesses
- Missing or broken authorization controls
- Insecure direct object references and cross-user data access
- Injection risks, including SQL, NoSQL, command, template, and prompt injection
- Cross-site scripting, CSRF, SSRF, and unsafe redirects
- API security weaknesses
- Exposed credentials, tokens, secrets, or sensitive configuration
- Unsafe handling of environment variables
- Vulnerable, abandoned, or outdated dependencies
- Relevant published vulnerabilities affecting installed package versions
- Insecure file uploads, downloads, storage, or path handling
- Data exposure through APIs, logs, errors, analytics, or client-side code
- Weak cryptography or incorrect password handling
- Missing input validation and output encoding
- Rate-limiting, brute-force, scraping, and denial-of-service risks
- Webhook verification weaknesses
- CORS, CSP, cookie, security-header, and transport-security issues
- Database security, row-level access, tenant isolation, and backup exposure
- Cloud, container, CI/CD, and deployment-configuration risks
- Business-logic abuse cases
- Privilege escalation opportunities
- Supply-chain and third-party integration risks

Use web research when necessary to verify current security advisories, CVEs, package vulnerabilities, framework guidance, and recently disclosed risks.

Do not make up vulnerabilities, CVEs, package behavior, or security recommendations.

Every claim involving an external vulnerability, security standard, package advisory, or framework recommendation must include a verifiable source.

Clearly distinguish among:

- Confirmed vulnerabilities found directly in the code
- Likely risks that require runtime testing
- Potential concerns that depend on missing information
- General hardening recommendations

Do not assume missing architectural or operational details. When information is required and cannot be determined from the repository, stop and ask me a specific question.

For every finding, provide:

1. Finding title
2. Severity: Critical, High, Medium, Low, or Informational
3. Confidence level
4. Affected files, functions, routes, or components
5. Evidence from the code
6. Realistic attack scenario
7. Potential business and user impact
8. Recommended remediation
9. A secure code example or patch when appropriate
10. Verification steps to confirm the issue has been fixed
11. Relevant sources

Prioritize exploitable findings over theoretical concerns.

Do not modify the project immediately. First produce:

- An executive summary
- A description of the application’s attack surface
- A STRIDE-based threat model
- A prioritized findings table
- Detailed findings
- A remediation roadmap divided into immediate, short-term, and long-term actions
- A list of security tests that should be added
- A list of questions or unknowns that require my input

After presenting the assessment, wait for my approval before changing any code.

Be direct and thorough. Do not minimize serious issues, but do not exaggerate risks that are unsupported by evidence.

Do Not Accept Unsupported Findings

AI security reviews can produce false positives.

A coding agent may describe a vulnerability that does not actually exist, misunderstand a framework’s built-in protection, or recommend a change that breaks the application.

Require the agent to show its evidence.

For each issue, it should identify the affected file, explain the attack path, demonstrate why the existing protection is insufficient, and provide sources for external claims.

A statement such as “this package may be vulnerable” is not enough.

The agent should confirm:

• The exact package and installed version

• The relevant advisory or CVE

• Whether your application uses the affected feature

• Whether the vulnerability is realistically reachable

• Which upgraded version or mitigation resolves it

Verifiability matters more than the number of findings.

Ask the Agent to Stop When Context Is Missing

Your coding agent cannot know everything about your production environment from the repository alone.

It may not know:

• Which services are publicly accessible

• How secrets are stored in production

• Whether database row-level security is enabled

• Which user roles exist

• How administrators are authenticated

• Whether a reverse proxy applies security headers

• How backups are protected

• Whether rate limiting happens at the application, platform, or CDN level

Instead of allowing the agent to guess, instruct it to ask specific questions whenever essential information is missing.

A good security review should clearly separate confirmed evidence from assumptions.

Review Every Project—including Older Ones

Do not limit this assessment to the application you are currently building.

Review:

• Active projects

• Previously deployed applications

• Internal tools

• Experimental prototypes

• Abandoned side projects that remain online

• Old API endpoints

• Repositories connected to production services

An application does not stop becoming a security risk simply because you stopped actively developing it.

Older projects may be more vulnerable because their dependencies, authentication libraries, deployment settings, and external integrations have not been reviewed recently.

Make Security Reviews Part of Your Workflow

A security assessment should not be a one-time event.

Run another review:

• Before a production launch

• After adding authentication or payments

• After introducing file uploads

• After changing user roles or permissions

• After connecting a new third-party service

• After a major framework upgrade

• After a significant dependency vulnerability is announced

• At regular intervals for applications that remain online

You can also ask your coding agent to convert confirmed findings into automated tests, dependency checks, static-analysis rules, and CI/CD security controls.

The goal is not merely to fix today’s vulnerabilities. The goal is to make similar vulnerabilities harder to introduce tomorrow.

Final Reminder

Building quickly is one of the biggest advantages of vibe coding.

But speed without verification can create hidden risk.

Before you generate the next feature, give your coding agent a different mission:

Stop building. Start investigating.

Run the security prompt in Claude Code. Run it again independently in Codex. Compare their findings, verify their evidence, fix the highest-risk issues, and retest the application.

Your app should not only work.

It should also be difficult to break.