Spectra Assure
Community
failIncident: Removal
Scanned: 14 days ago

keras-hub

Artifact:
removed
🚧🚧🚧 Work in progress. 🚧🚧🚧 More details soon!
License: Permissive (Apache-2.0)
Published: over 1 year ago
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 FOR THIS VERSION:

removal
3 months agoReported By: Community

Popularity

1.6M
Total Downloads
1
Contributor
9
Declared Dependencies
8
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. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. Software developers build up the reputation of their open source projects by developing in public. Modern source code repositories have many social features that allow software developers to handle bug reports, have discussions with their users, and convey reaching significant project milestones. It is uncommon to find open source projects that omit linking their component to a publicly accessible source code repository.

Prevalence in PyPI community

70 packages
found in
Top 100
472 packages
found in
Top 1k
4207 packages
found in
Top 10k
413.79k packages
in community

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
252 packages
found in
Top 1k
1477 packages
found in
Top 10k
53.15k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
76 packages
found in
Top 100
459 packages
found in
Top 1k
3531 packages
found in
Top 10k
105.97k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
67 packages
found in
Top 100
525 packages
found in
Top 1k
4055 packages
found in
Top 10k
154.83k 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
3680 packages
found in
Top 10k
150.76k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
533 packages
found in
Top 1k
3858 packages
found in
Top 10k
146.15k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for keras-hub

What is keras-hub?

🚧🚧🚧 Work in progress. 🚧🚧🚧 More details soon! For more information about this package, visit its homepage.

Is keras-hub malicious or is it safe to use?

The Python package keras-hub has been removed from registry. It 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 used. Visit the Issues and Behaviors sections of the analysis for more details.

Is keras-hub popular?

The Python package keras-hub is not widely used. It has 2M 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 keras-hub once it is in my app?

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