MEDIUM
The severity is rated as MEDIUM because the primary risk lies in local attacks rather than remote exploitation. The tool's reliance on local datasets minimizes exposure to external threats but increases vulnerability to physical or administrative access compromises within the user’s network.

This advisory focuses on a self-hosted valuation bot using datasets from Aswath Damodaran. The tool is designed to run entirely locally, ensuring that all calculations and data processing occur within the user's environment without relying on external services or APIs. It leverages preloaded industry-specific datasets for more accurate valuations, including financial margins, risk premiums, and failure rates. However, since this tool processes sensitive financial information, it could be vulnerable to local attacks such as unauthorized access or malware infections if not properly secured. Engineers and sysadmins must ensure robust security measures are in place when deploying such tools locally, especially concerning data confidentiality and integrity.

Affected Systems
  • stockvaluation_io
Affected Versions: All versions
Remediation
  • Ensure that all dependencies are up-to-date by running `npm update` in the project directory.
  • Implement file permissions securely to prevent unauthorized access using commands like `chmod 600 /path/to/important/files`. Replace `/path/to/important/files` with actual paths used.
  • Enable and configure a firewall on your local machine to restrict unnecessary network traffic.
Stack Impact

This tool could have an impact on homelab stacks where financial data processing is handled. Ensure that any related software, such as Node.js or Python dependencies, are updated to their latest stable versions to mitigate risks.

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