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Tools 2026-08-18

An AI agent broke into Snowflake's build system in five days. Who wrote the hole is now in dispute.

An AI agent broke into Snowflake's build system in five days. Who wrote the hole is now in dispute.

Security firm Wiz disclosed on 17 August that a pull request merged into a public Snowflake repository on 18 June replaced a safe pattern — passing values through environment variables — with untrusted input dropped straight into a shell command inside a GitHub Actions workflow. Anyone could then run commands on Snowflake's build system simply by opening an issue with a quotation mark in the title. Wiz's automated red-team agent found and exploited it on 23 June and pulled out a Jira API token that gave read access to Snowflake's engineering, security-compliance and bug-bounty projects. Snowflake patched the same day, rotated the token on 24 June, and says no one else got in. (Correction: our first version said GitHub Copilot co-wrote the change and reviewed it as all-clear. GitHub says a human wrote the code and that Copilot Autofix neither reviewed nor contributed to it; the co-author line came from a squash commit that combined several pull requests. Wiz has since softened its own post to say it is unclear whether the change was AI-assisted, and The Register has corrected its headline.)

Why it mattersWhat survived the dispute is still the striking half. An autonomous red-team agent read a public repository, spotted a shell-injection pattern a human had once carefully avoided, wrote a working exploit and walked out with a live credential — five days, no person in the loop. The half that collapsed is a warning of a different kind: 'an AI wrote the bug' is the sentence everyone wants to publish, and it travelled around the world in hours on a co-author line that turned out to prove nothing. Attribution inside a repository is genuinely hard, and a security firm has every incentive to make its finding sound worse than it is. Read the second claim more slowly than the first — including ours.
#Coding#AI Agents

✓ Verified · 2 sources

▶ Related video: avoiding shell injection in github actions (intermediate) anthony explains #479
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