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failRisk: Vulnerabilities
Scanned: about 10 hours ago

@tensorflow/tfjs-node

latest
This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).
License: Permissive (Apache-2.0)
Published: over 1 year ago
Visit GitHub
See on npm

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
4 severe vulnerabilities exploited
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

FAQ for @tensorflow/tfjs-node

What is @tensorflow/tfjs-node?

This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/). For more information about this package, visit its homepage.

Is @tensorflow/tfjs-node malicious or is it safe to use?

The npm package @tensorflow/tfjs-node was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

Is @tensorflow/tfjs-node popular?

The npm package @tensorflow/tfjs-node is not widely used. It has 9M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure @tensorflow/tfjs-node once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how @tensorflow/tfjs-node behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a @tensorflow/tfjs-node version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

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