AI Weekly Malaysia

GitHub Copilot Autofix introduced a script injection vulnerability into Snowflake's snowflake-connector-net GitHub Actions workflow on June 18 by removing an existing sanitized input pattern and replacing it with direct string expansion in a shell script. Five days later, Wiz's autonomous AI red agent found the bug during a routine public repo scan, exploited it by crafting a GitHub issue title that exfiltrated Jira credentials via an out-of-band callback, and gained read access to Snowflake's engineering, security compliance, and bug bounty projects. Snowflake patched the same day Wiz reported it and rotated credentials the next day, confirming a five-day exposure window with no unauthorized access beyond Wiz.

Why: If you use AI coding assistants that auto-fix or auto-generate commits, you need to treat their output as untrusted code that can remove existing security sanitization patterns — not just as suggestions to eyeball. This incident shows an AI removing a working input sanitization pattern and replacing it with a vulnerable one, which then sat in a public repo for five days undetected by human review. Audit AI-generated diffs for security regressions in CI/CD workflows, especially in GitHub Actions run: blocks where shell injection is possible, and consider running automated security scanning on every commit rather than relying on human review.