Cursor IDE AI Scans & Code Reviews

Cursor: AI Diffs Landing in Real Codebases

Cursor isn't a builder — it's the IDE your team is already living in. The AI reads your repo, generates multi-file diffs, runs your tests, and commits straight into the same branch a human would. That's the appeal, and it's why Cursor adoption has gone vertical in the last year. It's also why a missed edge case lands not in a sandbox but in main.

Cursor has shipped at least four CVE-class IDE vulnerabilities in 2025 alone — CVE-2025-52882, 54135, 54136, and 59944 — covering remote code execution via malicious repositories, MCP configuration swaps, and a case-sensitivity bypass in Workspace Trust. The agent can also hallucinate functions, drop guard clauses during a multi-file refactor, or silently revert your changes when Cloud Sync conflicts. Independent research still puts AI-generated code's vulnerability rate around 12% — and Cursor commits land in production codebases, not throwaway prototypes.

Why Your Cursor Codebase Needs an AI Scan

Linters, type-checkers, and CI catch the deterministic surface — syntax errors, broken imports, failing tests. That's necessary but nowhere near sufficient. They don't notice that the function Cursor just imported doesn't exist in that version of the library, or that a multi-file refactor quietly removed an auth guard from one route while keeping it on three others. An AI scan does — it reasons about how your app actually behaves, not just whether it compiles.

And because Cursor's agent can land dozens of multi-file diffs in a day, a one-off manual check goes stale fast. Our AI scan runs up to 151 checks in minutes, so you can re-run it after every big agent session. We've seen Cursor branches that passed CI green, deployed cleanly, and still leaked customer data because the agent invented a method signature the SDK silently accepted as a no-op. That's the failure mode our AI scan exists to catch.

Common Cursor Codebase Problems

Across the Cursor codebases we've scanned, the same families of issues keep showing up:

• IDE-level CVEs enabling RCE — CVE-2025-52882, 54135, 54136, and 59944 allow remote code execution via malicious repositories, MCP configuration swaps, or case-sensitivity bypasses in the file-protection logic.
• Workspace Trust off by default — a project can ship a hidden `.cursor/mcp.json` that auto-executes the moment you open the folder, with no consent prompt.
• API and method hallucinations — the AI calls functions that don't exist in the installed version of a library, or invents arguments that the SDK silently ignores.
• Context loss in large refactors — multi-file edits miss interdependencies; a guard removed in one file doesn't get restored in the three places that depended on it.
• Shallow test generation — Cursor produces obvious test cases but misses edge cases, concurrency, permissions, and boundary values unless you prompt explicitly.
• Silent code reversions — Agent Review, Cloud Sync, and Format-On-Save conflicts can undo accepted changes without notification, so a fix appears merged but isn't.
• Prompt injection via malicious .cursorrules — a collaborator can slip in a rule file that tells the AI to skip security checks, exfiltrate code, or auto-approve edits. There is no sandboxing for rule files.

What Our Cursor AI Scans Cover

Our AI scans your Cursor-built app top-to-bottom — 41 checks in the Critical AI Scan, 151 in the AI-Powered Full Scan. Coverage includes:

• Frontend code quality — component structure, accessibility, mobile behavior, error states, hydration mismatches.
• Backend code quality — endpoint correctness, hallucinated APIs and method signatures, third-party library audits, error handling, SQL injection and N+1 surfaces.
• Authentication and session flow — sign-up, sign-in, OTP/password reset, token storage, session invalidation, role checks.
• Repo-level safety — `.cursorrules` and `.cursor/mcp.json` review, Workspace Trust posture, dependency-lockfile drift.
• Security and exposure — hardcoded secrets, exposed service-role keys, CORS, CSRF, XSS surfaces, dependency vulnerabilities.
• Performance and load behavior — bundle size, render bottlenecks, N+1 queries, missing indexes.
• Deployment configuration — env-var handling, build settings, headers, caching, CI safety on AI-authored commits.

You get a prioritized fix list — severity-ranked, with an AI launch-readiness verdict and a ready-to-paste AI fix prompt for every issue that you can take back into Cursor or your own AI tooling.

Pricing & Next Steps

Start with the free scan — paste your Cursor-built app's URL on the home page and we'll run an automated check in seconds. If the score flags anything, upgrade to a deeper AI scan:

• Critical AI Scan — $19. 41 AI checks on the highest-risk launch areas (auth, payments, database connectivity, data flow) with priority fixes and AI fix prompts. Results: minutes after intake.
• AI-Powered Full Scan — $49. 151 AI checks across your full application — security, performance, architecture, scalability, and maintainability. Full prioritized fix plan. Results: minutes after intake.

Both are one-time payments, with no surprise invoices. Building a critical app that needs an extra audit? Human-verified reviews are also available on the pricing page.