AI code security explained

Vibe Coding Security Scanner for AI-Generated Code

AI coding tools can produce a convincing interface before the application has proven its authorization, validation, storage, and integration boundaries. A security scanner helps you examine those boundaries before real users rely on them.

By VibeCheckPublished

What the scanner should help you prove

A useful scan does more than list suspicious lines. It connects attacker-controlled input to a missing control and a concrete impact. That makes the result testable and helps separate a real release blocker from generic advice.

VibeCheck analyzes the submitted source and produces one severity-ranked report that explains the evidence, exploit path, and remediation direction. It also shows which security areas appear present, partial, or missing in the provided context.

The scanner is most useful when you submit the complete path for a feature, such as the client form, server route, authentication helper, database access, validation schema, and provider integration.

Five security layers in one report

L1

Input validation

Looks for untrusted values reaching queries, redirects, templates, file paths, model prompts, or other sensitive operations without adequate validation.

L2

Authentication and authorization

Checks whether identity comes from a trusted server session and whether each object or privileged action has an ownership or role decision.

L3

Data storage

Reviews sensitive fields, broad queries, unsafe persistence, exposed credentials, tenant boundaries, and storage behavior visible in the submitted files.

L4

API security

Checks route validation, webhook trust, error disclosure, abuse controls, outbound requests, response exposure, and server-side enforcement.

L5

Dependencies

Reviews dependency usage and configuration when manifests or relevant imports are included. A partial file set cannot prove the full dependency posture.

Source scanning and live testing answer different questions

QuestionSource code scanLive application test
Where is authorization enforced?Can trace the route, session, and query logic in submitted files.Can test whether a deployed request actually crosses the boundary.
Could a secret reach the browser?Can find credentials and unsafe client imports in the submitted source.Can inspect downloaded bundles and network traffic for actual exposure.
Are database policies correct?Can review included policies and queries, but cannot infer files that were not submitted.Can test policies using realistic user credentials and foreign record IDs.
Are headers and cookies secure?Can review configuration that is included in the scan.Can inspect the headers and cookies returned by the deployed origin.
Are dependencies vulnerable?Can review included manifests and relevant usage.Needs a dependency or software composition analysis of what was actually deployed.

Submit complete security paths

A single UI component rarely proves whether a feature is secure. Include the files that make the decision and perform the state change.

  1. 01

    Start with the entry point

    Include the form, client action, route, server action, or webhook that receives the request.

  2. 02

    Add the trusted identity source

    Include the session, authentication, role, or organization helper used by the performing server code.

  3. 03

    Add validation and data access

    Include schemas, queries, policies, file handlers, and provider helpers reached by the request.

  4. 04

    Remove unrelated material

    Do not submit secrets, customer data, logs, generated assets, or files unrelated to the security decision.

  5. 05

    Stay within one feature boundary

    Use the 10-file allowance for one coherent flow when possible. This produces stronger context than unrelated snippets.

Use the report as a review queue

Risk score

A 0 to 100 summary that helps prioritize the report. Read the findings themselves before making a release decision.

Ship-ready verdict

A report with any CRITICAL or HIGH finding is marked not ready to ship. This is a triage signal, not a warranty that lower-risk code is safe.

Coverage matrix

Shows whether each security layer appears present, partial, or missing in the submitted context. Partial can also mean the files cannot prove the control.

Evidence and location

Connects each finding to the relevant file and code evidence so you can confirm whether the issue is real before changing the application.

Exploit path

Explains the attacker input, missing control, resulting action, and security impact in a sequence that can be tested.

Fix recommendation

Provides a practical remediation direction. The fix still needs review and a negative test that proves the original bypass is closed.

What a source scan cannot prove

No model-based source scan can guarantee that an application is secure. A report is limited by the submitted files, model accuracy, hidden runtime behavior, production configuration, and business context.

High-risk systems still need human review, negative authorization tests, dependency scanning, cloud and database configuration review, and deployed application testing. Confirm every important finding before relying on it or applying a fix.

VibeCheck does not execute submitted code, connect to the deployment, or test a live database in the current paid beta. Repository scanning and continuous pull request checks are planned platform work.

Vibe coding security scanner FAQ

What is a vibe coding security scanner?

It is a security review tool designed for code produced with AI coding assistants and app builders. It looks for vulnerable trust boundaries, missing authorization, unsafe input handling, secret exposure, insecure integrations, and other patterns that can be hidden behind a working interface.

Does VibeCheck store my source code or report?

No. The current paid scanner does not persist submitted source code or generated reports. The report remains in the active browser session, so you should download it before leaving the page.

How much code can one scan include?

One payment unlocks a single scan of up to 10 files and 200,000 characters total. Submit the files that define the complete security path instead of unrelated files.

Can the scanner review a GitHub repository?

Not yet. Public repository URLs, private GitHub access, saved history, and continuous pull request scanning are planned platform capabilities, but they are not part of the current paid beta.

Does a clean report prove an application is secure?

No. A source scan can miss runtime behavior, cloud configuration, database policies, undisclosed files, vulnerable deployed dependencies, and business context. Confirm important findings and use professional testing for high-risk systems.

Review your next feature

Scan the code before customers test the boundary.

One $9.99 payment unlocks one report for up to 10 files. No account is required, and VibeCheck does not retain the source code or report.