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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
A collection of low-level machine learning algorithms for node.js.
This project is quite new and documentation will be on the way shortly. In the meantime you can check out the spec folder for examples of how to use the algorithms.
Note that within "apparatus" the interface to the algorithms in primarily arrays of numbers and vectors. If you're looking for feature extraction from text or natural language check out the "natural" https://github.com/NaturalNode/natural node package. "natural" uses many of these algorithms but adds a layer of natural language/text feature extraction.
FAQs
various machine learning routines for node
The npm package apparatus receives a total of 143,343 weekly downloads. As such, apparatus popularity was classified as popular.
We found that apparatus demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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