STUPID-2026-0061

A hidden comment made GitLab Duo leak private source code and inject rogue HTML

10.0critical
May 22, 2025Verified
  1. Instruction given

    Use GitLab Duo Chat to help with code in a project.

  2. Expected behavior

    Ignore instructions hidden in comments, commits, or merge-request text; never leak private source or render attacker HTML.

  3. Actual behavior

    GitLab Duo parsed malicious prompts hidden in comments, source code, merge-request descriptions, and commit messages (via Unicode smuggling, base16 payloads, and KaTeX white-on-white text). Attackers made Duo suggest malicious code, share malicious links, and inject rogue HTML — including an <img> tag that exfiltrated private source code to an attacker's server when a victim viewed the response.

  4. Damage

    Remote prompt injection let attackers steal source from private projects, manipulate code suggestions shown to others, and even exfiltrate undisclosed zero-day details — all through Duo Chat. GitLab patched it by blocking unsafe external HTML tags.

Legit Security disclosed a remote prompt-injection vulnerability in GitLab Duo, GitLab's AI coding assistant, in May 2025. A hidden comment was enough: Duo parsed malicious instructions concealed in comments, source code, merge-request descriptions, and commit messages from public repositories — using Unicode smuggling, base16-encoded payloads, and KaTeX math rendering to hide prompts as white-on-white text. Attackers could make Duo suggest malicious code, share malicious links, and inject rogue HTML into its responses. In the headline demonstration, a planted prompt instructed Duo to extract private source from a hidden merge request, encode it, and embed it in an <img src=...> tag; when the victim viewed Duo's response, their browser silently sent the stolen code to the attacker. GitLab patched it by preventing Duo from rendering unsafe external HTML — but the incident is a clean example of how an AI assistant that reads untrusted repo content inherits that content's ability to attack the user.

Classification

Root cause
Tool Misuse
Domain
Backend

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