stylerv0.1.2b0

malicious

Research

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License: unknown

PyPI

Published:

Fail

Incident: Malware

4 supply chain attack artifacts

Incidents

Type: malwareReported By: ReversingLabs (Automated) Reported: 3 months ago

Learn more about malware detection

Type: malwareReported By: Community (OpenSSF)Reported: 5 months ago

Type: malwareReported By: Community (Sonatype)Reported: almost 2 years ago

Type: malwareReported By: ReversingLabs (Researcher) Reported: almost 2 years ago

See more info on our blog

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

No evidence of software tampering

Malware

4 supply chain attack artifacts

Issues

See all issues

high

Detected presence of known software supply chain attack artifacts.

threats

medium

Detected presence of potentially unwanted applications.

threats

Behaviors

No behaviors found

Vulnerabilities

Downloads

1.07K

Total Downloads

Maintenance

Maintainers

Dependencies

Declared Dependencies

Dependents

Issues per Version Graph

Scanned

FAQ for styler

Is styler malicious or is it safe to use?

The Python package styler 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 styler popular?

The Python package styler is not widely used. It has 1K 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 styler once it is in my app?

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