Spectra Assure
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passEverything is awesome!
Scanned: 17 days ago

rules

Artifact:
latest
Top 10k
Awesome Django authorization, without the database
License: Permissive (MIT)
Published: over 1 year ago
Visit source repository
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

11.25M
Total Downloads
1
Contributor
0
Declared Dependencies
32
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
55 packages
found in
Top 100
355 packages
found in
Top 1k
2267 packages
found in
Top 10k
79.55k 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

Prevalence in PyPI community

Behavior often found in this community (Common)
69 packages
found in
Top 100
533 packages
found in
Top 1k
3319 packages
found in
Top 10k
94.48k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for rules

What is rules?

Awesome Django authorization, without the database. For more information about this package, visit its homepage.

Is rules malicious or is it safe to use?

The Python package rules 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 rules popular?

The Python package rules ranks among the top 10000 projects in this community. It has 11M 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 rules once it is in my app?

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