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Scanned: 7 days ago

fuzzymatcher

Artifact:
latest
Top 10k
Fuzzy match two pandas dataframes based on one or more common fields
License: Permissive (MIT)
Published: over 3 years ago
Visit Github
See on PyPI

SAFE Assessment

Compliance

Licenses
1 software distribution restrictions
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

3.04M
Total Downloads
1
Contributor
5
Declared Dependencies
0
Dependents

Top issues

See all issues

Problem

Software license is a legal instrument that governs the use and distribution of software source code and its binary representation. Software publishers have the freedom to choose any commonly used or purposefully written license to publish their work under. While some licenses are liberal and allow almost any kind of distribution, with or without code modification, other licenses are more restrictive and impose rules for their inclusion in other software projects. Some software licenses place restrictions on software distribution of the code they apply to. These restrictions may extend to the services built upon the code licensed under such restrictive licenses. Some restrictive licenses explicitly state that the licensee may not provide the software to third parties as a hosted or managed service, where the service provides users with access to any substantial set of the features or functionality of the licensed software. When building commercial applications, this is typically undesirable. Therefore, the inclusion of any code that may impose limits on software distribution is commonly avoided or even prohibited by the organization policy.

Prevalence in PyPI community

6 packages
found in
Top 100
50 packages
found in
Top 1k
737 packages
found in
Top 10k
99544 packages
in community

Next steps

Confirm that the software package references a component or a dependency with a restrictive license.
Consider replacing the software component with an alternative that offers a license compatible with organization policy.

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)
7 packages
found in
Top 100
55 packages
found in
Top 1k
363 packages
found in
Top 10k
18234 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
6 packages
found in
Top 100
22 packages
found in
Top 1k
144 packages
found in
Top 10k
8882 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

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)
87 packages
found in
Top 100
711 packages
found in
Top 1k
5425 packages
found in
Top 10k
227429 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for fuzzymatcher

What is fuzzymatcher?

Fuzzy match two pandas dataframes based on one or more common fields. For more information about this package, visit its homepage.

Is fuzzymatcher malicious or is it safe to use?

The Python package fuzzymatcher was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. 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 fuzzymatcher popular?

The Python package fuzzymatcher 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 fuzzymatcher once it is in my app?

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