@melaya/runner@1.1.30
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 a high-risk remote agent runner with credential-access and remote-code execution capabilities. Static inspection found no install-time malicious chain or covert exfiltration beyond its service-integrated runtime behavior.
Decision evidence
public snapshot- It reads existing Claude, Codex, and GitHub authentication material during local model detection.
- It downloads a server-controlled Python bundle and writes its supplied files into the user's Melaya cache.
- It verifies and then executes Python supplied in a server socket payload.
- It captures LinkedIn session cookies and returns them to the connected server.
- It creates a Python environment and automatically installs a large dependency set, including browser-stealth tooling.
- The manifest has no install, preinstall, or postinstall hook; its only lifecycle entry is prepublishOnly.
- The sensitive and remote-execution paths require running the CLI and connecting it with a runner token.
- The inspected browser authorization code blocks private and cloud-metadata destinations rather than accessing them.
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@1.1.30.
See all versions of @melaya/runner for other recorded verdicts.
- Review the evidence and your use of @melaya/runner@1.1.30 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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