scikit-learnv0.16.0

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A set of python modules for machine learning and data mining

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Incident: Malware

Detected presence of malicious files.

Incidents

Type: malwareReported By: ReversingLabs (Automated) Reported: 6 months ago

Learn more about malware detection

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

8 severe vulnerabilities exploited

Hardening

37 baseline mitigations missing

Threats

Tampering

No evidence of software tampering

Malware

1 suspicious components found

Downloads

2.32B

Total Downloads

Maintenance

Maintainers

Dependencies

Declared Dependencies

Dependents

Issues per Version Graph

Scanned

FAQ for scikit-learn

What is scikit-learn?

A set of python modules for machine learning and data mining. For more information about this package, visit its homepage.

Is scikit-learn malicious or is it safe to use?

The Python package scikit-learn was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to download and use. 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 scikit-learn popular?

The Python package scikit-learn ranks among the top 1000 projects in this community. It has 2B 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 scikit-learn once it is in my app?

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