@melaya/runner@1.1.34
Run Melaya AI pipelines locally with your own LM Studio or Ollama models
AI Security Review
scanned 2mo ago · by lpm-firewall-aiThis is not an install-hook malware chain, but it deliberately executes code supplied by a remote service and persists service-supplied modules. The capability is product-aligned yet creates unresolved high-impact risk if the service, account, or token is compromised.
Decision evidence
public snapshot- A connected server supplies Python source that is written locally and executed.
- The package fetches a mutable Python bundle from its service and stores its files in the user cache.
- Starting the CLI can automatically download and install an external uv executable.
- The manifest has no install-time lifecycle hook; prepublishOnly only builds before publishing.
- The behavior is consistent with a user-invoked remote pipeline runner, not a hidden install-time payload.
- Browser controls explicitly deny cloud-metadata and private-network destinations.
Source & flagged code
8 flaggedPackage source references child process execution.
dist/uvBootstrap.jsView on unpkg · L20Findings
Affected versions and remediation
This report applies to @melaya/runner@1.1.34.
See all versions of @melaya/runner for other recorded verdicts.
- Review the evidence and your use of @melaya/runner@1.1.34 before allowing it. Restrict the permissions described in this report.
- Choose an independently verified alternative or release. This report does not establish that other versions are safe.
Evidence last updated: .
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