GitHub Copilot Security Audit
Built your app with GitHub Copilot? We find the security issues AI missed.
GitHub Copilot integrates into VS Code, JetBrains, and other editors to provide AI-powered code suggestions as you type. It draws on a vast training set to autocomplete functions, generate boilerplate, and suggest implementations. Because it operates at the suggestion level rather than generating entire applications, its security issues tend to be more subtle: insecure default patterns, outdated library usage, and authentication shortcuts that developers accept without scrutiny.
Common GitHub Copilot Security Issues
These are the vulnerabilities we most frequently find in GitHub Copilot-generated projects.
Suggesting deprecated or vulnerable patterns
highCopilot frequently suggests code using outdated library APIs, deprecated cryptographic functions like MD5 for hashing, or patterns with known vulnerabilities from its training data.
Hardcoded secrets in code suggestions
highWhen it detects patterns like API key assignments or connection strings, Copilot sometimes autocompletes with placeholder values that look realistic and get committed accidentally.
Insecure cryptographic defaults
highGenerated encryption code often uses ECB mode, weak key lengths, or static initialisation vectors instead of secure defaults like AES-256-GCM with random IVs.
Missing error handling in async operations
mediumPromise chains and async/await blocks are suggested without proper try/catch wrappers or error propagation, leading to unhandled rejections that can crash the application.
Over-permissive regex patterns
mediumInput validation suggestions use overly broad regular expressions that fail to catch malicious input or are vulnerable to ReDoS attacks with catastrophic backtracking.
What We Check
Our GitHub Copilot audit covers every critical security area in your application.
Authentication & Sessions
API Route Security
Database Security
Input Validation
Environment & Secrets
Third-party Integrations
Headers & CORS
Error Handling
Secure Your GitHub Copilot App
Get a professional security audit tailored to GitHub Copilot-generated code. Reports delivered within days.
GitHub Copilot Audit FAQ
Is GitHub Copilot code secure?
GitHub Copilot generates functional code quickly, but like all AI coding tools, it often prioritises getting things working over security best practices. Common issues include exposed API keys, missing input validation, and insecure database configurations. Our audits specifically target the patterns GitHub Copilot tends to produce.
What are common GitHub Copilot security issues?
The most frequent issues we find in GitHub Copilot projects include: suggesting deprecated or vulnerable patterns, hardcoded secrets in code suggestions, insecure cryptographic defaults. These are well-documented patterns that our audit process specifically checks for.
Do I need an audit for my GitHub Copilot app?
If your GitHub Copilot app handles user data, payments, or any sensitive information, an audit is strongly recommended before going to production. Even simple apps can have critical vulnerabilities that AI tools introduce without warning. Our Security Scan package is a great starting point.
How long does a GitHub Copilot audit take?
Our Security Scan takes 3 business days, the Full Audit takes 7 business days, and the Production Ready package takes 10-12 business days. The timeline depends on the size and complexity of your codebase, not which tool generated it.