@melaya/runner@1.1.32
Run Melaya AI pipelines locally with your own LM Studio or Ollama models
AI Security Review
scanned 2mo ago · by lpm-firewall-aiNo install-time hook or covert import-time behavior was found. However, the explicit runner design gives its remote service broad code-execution and authenticated-account capabilities that remain unsafe to treat as clean.
Decision evidence
public snapshot- The runner downloads a server-supplied Python bundle and writes its files into the user home cache.
- A server run request writes supplied Python into a temporary directory and executes it locally.
- The package sends local LinkedIn session cookies in requests whose path and method come from a remote request.
- The Luma login flow captures authenticated browser cookies and returns them through the cloud socket.
- package.json has no install, preinstall, or postinstall hook.
- These actions require an explicit CLI launch with a runner token and an active server connection.
- Browser authorization code denies 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@1.1.32.
See all versions of @melaya/runner for other recorded verdicts.
- Review the evidence and your use of @melaya/runner@1.1.32 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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