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CodeCop — Startup Profile
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CodeCop

AI security review for AI-generated code

Development & IT

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About the startup

CodeCop is a security scanner built specifically for AI-generated code — the kind that Cursor, GitHub Copilot, Lovable, and similar tools produce at speed without always catching what they introduce. Most security scanners were built for human-written code. They miss the patterns AI introduces: hardcoded secrets slipped in during scaffolding, insecure cookie configurations copied from outdated examples, JWT tokens stored in localStorage, vulnerable dependencies pulled in without review. CodeCop was built to catch exactly these issues — before they reach production. What CodeCop scans You can scan code three ways: Paste a snippet directly for a quick check before committing Upload individual files or a zip of your project for a full audit Point it at a public GitHub repo and let it scan the entire codebase Use Git History Scanning (Pro) to analyze the last 30 commits and find vulnerabilities introduced over time — not just what exists today, but when it got there What CodeCop detects Secrets and credentials Hardcoded API keys, database credentials, JWT secrets Secrets embedded in CI/CD files, Dockerfiles, and .env files Environment variables exposed in client-side code Injection and auth vulnerabilities SQL injection and NoSQL injection Missing authentication on endpoints IDOR vulnerabilities JWT misconfigurations including missing algorithm enforcement and no expiry check Missing rate limiting on sensitive endpoints Cookie and session security Missing HttpOnly, Secure, and SameSite flags Session tokens stored in localStorage or sessionStorage Overly broad cookie domain scope Dependency vulnerabilities Matches your package.json, requirements.txt, and Gemfile against the OSV database Surfaces real CVE numbers with severity ratings and direct links to fixes Flags outdated packages with known prototype pollution, SSRF, and injection vulnerabilities CI/CD and infrastructure Secrets in GitHub Actions workflows and GitLab CI files Dangerous permissions in Dockerfiles and Kubernetes manifests Containers configured to run as root Terraform and IaC misconfigurations Data exposure Stack trace exposure in error responses Sensitive data in logs including passwords, tokens, and headers PII or secrets leaked to analytics and monitoring tools How findings are presented Every finding includes: Severity: High, Medium, or Low Confidence score: High, Medium, or Low — so you know how certain the detection is OWASP Top 10 mapping and CWE reference Exact file and line number Why the issue is a problem A specific fix suggestion with example code Pro users get a downloadable PDF report and email delivery, making it easy to share findings with a team or client. Free vs Pro Free tier includes 3 scans with code paste and basic vulnerability detection. Pro unlocks unlimited scans, file and zip upload, GitHub repo scanning, Git history scanning, CI/CD config scanning, cookie security checks, frontend token storage detection, confidence scoring, CVE dependency lookup, PDF reports, email delivery, and scan history. Pro is $19/month or $190/year. Who CodeCop is for Developers shipping AI-assisted code who want a quick security check before merging Indie hackers and solo founders who don't have a security team CTOs and tech leads doing pre-launch audits Freelancers delivering code to clients who want a clean security report DevOps engineers checking infrastructure files for misconfigurations

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