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mailosaur

Artifact:
latest
Top 10k
The Mailosaur Python library lets you integrate email and SMS testing into your continuous integration process.
License: Permissive (MIT)
Published: 11 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
No evidence of software tampering
Malware
No evidence of malware inclusion

Popularity

3.09M
Total Downloads
3
Contributors
4
Declared Dependencies
1
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

No prevalence information at this time

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)
39 packages
found in
Top 100
280 packages
found in
Top 1k
1754 packages
found in
Top 10k
67026 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
1 packages
found in
Top 100
13 packages
found in
Top 1k
119 packages
found in
Top 10k
6758 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
540 packages
found in
Top 1k
3644 packages
found in
Top 10k
154572 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
75 packages
found in
Top 100
593 packages
found in
Top 1k
4478 packages
found in
Top 10k
229841 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
74 packages
found in
Top 100
606 packages
found in
Top 1k
4422 packages
found in
Top 10k
171320 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for mailosaur

What is mailosaur?

The Mailosaur Python library lets you integrate email and SMS testing into your continuous integration process. For more information about this package, visit its homepage.

Is mailosaur malicious or is it safe to use?

The Python package mailosaur 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 mailosaur popular?

The Python package mailosaur ranks among the top 10000 projects in this community. It has 3M 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 mailosaur once it is in my app?

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