GitHub Copilot’s config file can be turned against you
Your AI coding assistant trusts its config file. That trust is the attack surface.
Security researcher Gopal Rajguru published a writeup this month showing how a single trailing dot in GitHub Copilot’s own security prompt was enough to open an exploitation path. The full technique is documented on InfoSec Write-ups and targets bug bounty hunters and appsec engineers specifically.
Why Config File Attacks Work
AI coding assistants like GitHub Copilot operate on instructions loaded from project config files. If an attacker can influence what’s in that file, they can influence what the assistant does, including what code it writes or what commands it runs. The assistant doesn’t verify intent. It executes context.
This is the same class of problem as prompt injection, applied one layer down at the filesystem level rather than in the chat interface.
What to Watch
If you use GitHub Copilot, Cursor, or any AI assistant that reads workspace config files, treat those files as a trust boundary. Untrusted repos, shared workspaces, and cloned projects can all carry poisoned configs. Review .github directories, .cursor rules files, and any tool-specific configuration before letting your assistant run in a new project context.
The full writeup is paywalled on Medium but available directly on InfoSec Write-ups.
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