Malicious code in @antv/gi-mock-data (npm)
The npm account `atool` was compromised and used to publish 631 malicious versions across 314 npm packages, including @antv/gi-mock-data, in a 22-minute automated burst. Each malicious version injects a preinstall hook executing an obfuscated Bun script that exfiltrates credentials and establishes persistence via CI/CD workflow injection and system daemons.
- Disclosed
- Last updated
- Blast radius
- 631 malicious versions across 314 npm packages; widespread credential theft affecting AWS, GitHub, npm, GCP, Azure, Kubernetes, SSH, Docker, databases, Stripe, and Slack
- Attack vectors
- Threat actor
- Affected entities
- @antv/gi-mock-dataPart of Mini Shai-Hulud campaign affecting 314 packages total
A threat actor compromised the npm account atool and launched the "Mini Shai-Hulud" supply chain attack campaign, publishing 631 malicious versions across 314 npm packages in an automated 22-minute burst. The @antv/gi-mock-data package was among those compromised.
Each malicious version injects a preinstall hook that executes a 498KB obfuscated Bun script. This script uses the GitHub API as a covert exfiltration channel to steal sensitive credentials including AWS keys, GitHub PATs, npm tokens, GCP service accounts, Azure credentials, Kubernetes service account tokens, SSH keys, Docker auth configs, database connection strings, Stripe keys, and Slack tokens.
Beyond credential theft, the malicious code establishes persistence through multiple mechanisms: CI/CD workflow injection (a GitHub Actions workflow named Run Copilot that dumps all secrets via toJSON(secrets)), AI agent session hooks, and a system daemon named kitty-monitor. Stolen credentials are committed to attacker-controlled repositories following Dune-themed naming patterns (e.g., harkonnen-melange-742).
The incident was identified by both Amazon Inspector and Google Open Source Security, confirming the malicious nature of the compromise.
Indicators of compromise
- Packages
- @antv/gi-mock-data
Remediation
- Immediately revoke all credentials (AWS keys, GitHub PATs, npm tokens, GCP service accounts, Azure credentials, Kubernetes tokens, SSH keys, Docker auth configs, database credentials, Stripe keys, Slack tokens) that may have been exposed
- Remove or downgrade @antv/gi-mock-data and all affected packages to versions prior to the malicious publication
- Audit CI/CD workflows for unauthorized `Run Copilot` or similar workflows and remove them
- Search systems for the `kitty-monitor` daemon and remove it
- Review GitHub repositories for commits with Dune-themed names (e.g., `harkonnen-melange-*`) and investigate any unauthorized access
- Implement npm package verification and integrity checks in your supply chain
- Monitor for suspicious preinstall hooks in package.json files across your codebase
- Enable audit logging and alerting for credential access and CI/CD workflow changes
Sources
- GitHub Advisory GHSA-f5pf-h3hg-693v · GitHub Advisory Database
Cite this entry
"Malicious code in @antv/gi-mock-data (npm)." supplychainattack.org, Supply Chain Attack Incident Catalog. Disclosed July 27, 2026; last updated July 27, 2026. https://supplychainattack.org/incident/malicious-code-in-antv-gi-mock-data-npm-1grpkw
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