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Scanned: 3 days ago

narwhals

Artifact:
latest
Top 1k
Extremely lightweight compatibility layer between dataframe libraries
License: Permissive (MIT)
Published: 3 days 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:

Popularity

333.99M
Total Downloads
0
Contributors
14
Declared Dependencies
179
Dependents

Top issues

See all issues

Problem

Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are commonly abused by malicious software with the intent to cause harm. When a software package shares behavior traits with malicious software, it may become flagged by security solutions. Any detection from security solutions can cause friction for the end-users during software deployment. While the behavior is likely intended by the developer, there is a small chance this detection is true positive, and an early indication of a software supply chain attack.

Prevalence in PyPI community

0 packages
found in
Top 100
2 packages
found in
Top 1k
7 packages
found in
Top 10k
1009 packages
in community

Next steps

Investigate reported detections.
If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.
You should delay the software release until the investigation is completed, or until the issue is risk accepted.
Consider rewriting the flagged code without using the marked behaviors.

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. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. Software developers build up their reputation by being transparent. The person behind the public-facing alias is just as important as the alias itself. Developers rarely opt to use anonymous email service accounts that hide the link between their alias and the person behind it. Software components published by anonymized developer accounts often relate to activities that are unsuited for enterprise consumption.

Prevalence in PyPI community

2 packages
found in
Top 100
10 packages
found in
Top 1k
109 packages
found in
Top 10k
17243 packages
in community

Next steps

Investigate reported detections.
You should consider delaying the software release until the investigation is completed, or until the issue is risk accepted.
Consider replacing the software component with an alternative.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
75 packages
found in
Top 100
451 packages
found in
Top 1k
3488 packages
found in
Top 10k
109392 packages
in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)
Behavior often found in this community (Common)
2 packages
found in
Top 100
10 packages
found in
Top 1k
109 packages
found in
Top 10k
17243 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
67 packages
found in
Top 100
520 packages
found in
Top 1k
3993 packages
found in
Top 10k
158349 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
49 packages
found in
Top 100
364 packages
found in
Top 1k
2374 packages
found in
Top 10k
87567 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
25 packages
found in
Top 100
205 packages
found in
Top 1k
1070 packages
found in
Top 10k
28156 packages
in community

Top vulnerabilities

See all vulnerabilities
Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
None
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

FAQ for narwhals

What is narwhals?

Extremely lightweight compatibility layer between dataframe libraries.

Is narwhals malicious or is it safe to use?

The Python package narwhals 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 narwhals popular?

The Python package narwhals ranks among the top 1000 projects in this community. It has 334M 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 narwhals once it is in my app?

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