Spectra Assure
Community
passEverything is awesome!
Scanned: 12 days ago

parameterized

Artifact:
latest
Top 1k
Parameterized testing with any Python test framework
License: unknown
Published: almost 3 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

Popularity

400.04M
Total Downloads
1
Contributor
0
Declared Dependencies
675
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
37 packages
found in
Top 100
261 packages
found in
Top 1k
1345 packages
found in
Top 10k
39.72k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
100 packages
found in
Top 100
840 packages
found in
Top 1k
7148 packages
found in
Top 10k
332.43k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
86 packages
found in
Top 100
713 packages
found in
Top 1k
5448 packages
found in
Top 10k
222.97k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
95 packages
found in
Top 100
837 packages
found in
Top 1k
7695 packages
found in
Top 10k
495.5k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
95 packages
found in
Top 100
795 packages
found in
Top 1k
6588 packages
found in
Top 10k
379.58k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for parameterized

What is parameterized?

Parameterized testing with any Python test framework.

Is parameterized malicious or is it safe to use?

The Python package parameterized 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 parameterized popular?

The Python package parameterized ranks among the top 1000 projects in this community. It has 400M 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 parameterized once it is in my app?

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