GitHub Copilot’s Code Comedy of Errors: Vulnerability Exposes Sensitive Data!
Legit Security found a vulnerability in GitHub Copilot Chat AI, allowing hackers to swipe sensitive data using remote prompt injection. By bypassing Content Security Policy, attackers could leak AWS keys and influence Copilot responses. GitHub patched the issue, ensuring Camo can’t be used for data leaks, but it’s a wild AI west out there!
Hot Take:
Ah, the joys of AI! GitHub Copilot Chat, the digital assistant meant to keep our code in line, turns out to have the digital equivalent of a sieve for a brain. Who knew that behind those helpful code suggestions lurked a vulnerability ready to spill the beans—or in this case, the AWS keys! Thanks to Omer Mayraz, GitHub has learned that even AI needs a little human oversight. It’s a classic case of “With great power comes great responsibility”—and the occasional need for a security patch.
Key Points:
- Legit Security found a vulnerability in GitHub Copilot Chat that leaked sensitive data.
- The vulnerability involved bypassing Content Security Policy (CSP) with remote prompt injection.
- Attackers could access private repositories and influence Copilot’s responses.
- GitHub uses Camo proxies to prevent data exfiltration via arbitrary URLs.
- The issue was patched by GitHub to prevent further exploitation.