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google-cloud-ai_platform-v1

latest
Top 10k
Train high-quality custom machine learning models with minimal machine learning expertise and effort.
License: Permissive (Apache-2.0)
New!
Published: 1 day ago
See on RubyGems

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

1.06M
Total Downloads
1
Contributor
4
Declared Dependencies
3
Dependents

Top issues

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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 RubyGems 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 RubyGems community

Behavior often found in this community (Common)
53 packages
found in
Top 100
247 packages
found in
Top 1k
2209 packages
found in
Top 10k
16324 packages
in community

Prevalence in RubyGems community

Behavior uncommon for this community (Uncommon)
1 packages
found in
Top 100
2 packages
found in
Top 1k
111 packages
found in
Top 10k
706 packages
in community

Prevalence in RubyGems community

Behavior often found in this community (Common)
9 packages
found in
Top 100
58 packages
found in
Top 1k
431 packages
found in
Top 10k
3147 packages
in community

Prevalence in RubyGems community

Behavior often found in this community (Common)
18 packages
found in
Top 100
113 packages
found in
Top 1k
871 packages
found in
Top 10k
10579 packages
in community

Prevalence in RubyGems community

Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
11 packages
found in
Top 1k
83 packages
found in
Top 10k
766 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for google-cloud-ai_platform-v1

What is google-cloud-ai_platform-v1?

Train high-quality custom machine learning models with minimal machine learning expertise and effort. For more information about this package, visit its homepage.

Is google-cloud-ai_platform-v1 malicious or is it safe to use?

The Ruby package google-cloud-ai_platform-v1 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. Caution is advised as this package is still in review by ReversingLabs threat researchers for inclusion of novel supply chain threats.

Is google-cloud-ai_platform-v1 popular?

The Ruby package google-cloud-ai_platform-v1 ranks among the top 10000 projects in this community. It has 1M 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 google-cloud-ai_platform-v1 once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how google-cloud-ai_platform-v1 behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a google-cloud-ai_platform-v1 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.