Spectra Assure
Community
failIncident: Malware
Scanned: 11 days ago

spark-ml-utilities

Artifact:
latest
removed
malicious
This is a utilitily library for the lightweight spark model
License: Public domain (WTFPL)
Published: about 2 months ago
Visit GitHub
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
1 components with malware history
Malware
5 undesirable applications found

INCIDENTS FOR THIS VERSION:

malware
about 2 months agoReported By: Community (kam193)
More info
malware
about 2 months agoReported By: Community (OpenSSF)
More info
removal
about 2 months agoReported By: Community
malware
11 days agoReported By: ReversingLabs (Automated)
Learn more about malware detection

FAQ for spark-ml-utilities

What is spark-ml-utilities?

This is a utilitily library for the lightweight spark model.

Is spark-ml-utilities malicious or is it safe to use?

The Python package spark-ml-utilities has been removed from registry. It was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to use. 1 other issue and risky behavior was found. The package contains risks, and the analysis results should be reviewed before it is used. Visit the Issues and Behaviors sections of the analysis for more details. All versions of the spark-ml-utilities package were malicious.

Is spark-ml-utilities popular?

The Python package spark-ml-utilities is not widely used. It has 415 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 spark-ml-utilities once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how spark-ml-utilities behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a spark-ml-utilities 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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