Malicious code in @antv/data-set (npm)
The npm account `atool` was compromised and used to publish 631 malicious versions across 314 packages, including @antv/data-set. Each 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/data-setCompromised as part of Mini Shai-Hulud campaign; malicious preinstall hook injected
A threat actor compromised the npm account atool and launched an automated attack publishing 631 malicious versions across 314 npm packages in a 22-minute burst, part of the "Mini Shai-Hulud" supply chain attack campaign. The @antv/data-set package was among those compromised.
Each malicious version injects a preinstall hook that executes a 498KB obfuscated Bun script. The script uses the GitHub API as a covert exfiltration channel and steals a broad range of credentials: 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. Stolen credentials are committed to attacker-controlled repositories following Dune-themed naming patterns.
Beyond credential theft, the malicious code establishes persistence through 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. The compromise was confirmed by both Amazon Inspector and Google Open Source Security, with attribution to the TeamPCP threat actor.
Indicators of compromise
- Packages
- @antv/data-set
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
- Audit all npm packages installed from the affected account `atool` and remove any versions published during the attack window
- Review GitHub Actions workflows for suspicious `Run Copilot` workflows or other unauthorized CI/CD modifications
- Check for and remove any `kitty-monitor` system daemons or other persistence mechanisms
- Monitor for unauthorized access to exfiltrated credentials and services
- Update to patched versions of affected packages once available from the maintainers
- Implement package signature verification and supply chain security scanning in your build pipeline
Sources
- GitHub Advisory GHSA-x6hv-hhcr-2qx6 · GitHub Advisory Database
Cite this entry
"Malicious code in @antv/data-set (npm)." supplychainattack.org, Supply Chain Attack Incident Catalog. Disclosed July 26, 2026; last updated July 26, 2026. https://supplychainattack.org/incident/malicious-code-in-antv-data-set-npm-bwqpgh
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