@melaya/runner@1.1.28
Run Melaya AI pipelines locally with your own LM Studio or Ollama models
AI Security Review
scanned 2mo ago · by lpm-firewall-aiThe package is not an automatic install-time payload and includes some authorization checks, so the source does not establish malicious publication intent. Its server-delivered executable code and third-party session collection are nevertheless dangerous capabilities with material compromise impact.
Decision evidence
public snapshot- The connected server can supply a Python bundle that the runner writes into its local cache.
- The runner then launches Python from that cache for server-dispatched pipeline runs.
- LinkedIn and Luma login flows extract session cookies and return them over the server socket.
- The package persists Luma browser storage state for later replay of authenticated actions.
- There are no npm install, preinstall, or postinstall hooks; the only lifecycle script is prepublishOnly.
- The remote bundle has a hash and HMAC verification step tied to the runner token.
- Browser authorization explicitly blocks metadata and private-network destinations.
Source & flagged code
8 flaggedPackage source references child process execution.
dist/codeWorker.jsView on unpkg · L51Findings
Affected versions and remediation
This report applies to @melaya/runner@1.1.28.
See all versions of @melaya/runner for other recorded verdicts.
- Review the evidence and your use of @melaya/runner@1.1.28 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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