Spectra Assure
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Scanned: 3 days ago

workadays

Artifact:
latest
Top 10k
Calendário de dias úteis, dias corridos e dias 360 (30/360).
License: Permissive (MIT)
Published: about 2 years 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
No evidence of software tampering
Malware
No evidence of malware inclusion

INCIDENTS FOR THIS VERSION:

Popularity

5.16M
Total Downloads
1
Contributor
2
Declared Dependencies
0
Dependents

Top issues

See all issues

Problem

Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Software developers publish components they have authored to public repositories. While a new software project is a welcome addition to the open source community. it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of using components that are rarely used to build applications lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.

Prevalence in PyPI community

1 packages
found in
Top 100
11 packages
found in
Top 1k
910 packages
found in
Top 10k
717.09k packages
in community

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
69 packages
found in
Top 100
506 packages
found in
Top 1k
3612 packages
found in
Top 10k
163.85k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
34 packages
found in
Top 100
181 packages
found in
Top 1k
1324 packages
found in
Top 10k
54.83k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
74 packages
found in
Top 100
598 packages
found in
Top 1k
4564 packages
found in
Top 10k
227.42k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
89 packages
found in
Top 100
714 packages
found in
Top 1k
6590 packages
found in
Top 10k
461.31k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
96 packages
found in
Top 100
821 packages
found in
Top 1k
6994 packages
found in
Top 10k
450.45k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for workadays

What is workadays?

Calendário de dias úteis, dias corridos e dias 360 (30/360). For more information about this package, visit its homepage.

Is workadays malicious or is it safe to use?

The Python package workadays was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use.

Is workadays popular?

The Python package workadays ranks among the top 10000 projects in this community. It has 5M 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 workadays once it is in my app?

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