Spectra Assure
Community
warningRisk: Vulnerabilities
Scanned: 10 days ago

pinecone

Artifact:
latest
Top 10k
Pinecone client and SDK
License: Permissive (Apache-2.0)
Published: about 2 months ago
See on PyPI

SAFE Assessment

Compliance

Licenses
1 software distribution restrictions
Secrets
No sensitive information found

Security

Vulnerabilities
1 high severity vulnerabilities
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

INCIDENTS FOR THIS VERSION:

Popularity

91.44M
Total Downloads
2
Contributors
29
Declared Dependencies
147
Dependents

Top issues

See all issues

Problem

Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as high severity.

Prevalence in PyPI community

42 packages
found in
Top 100
278 packages
found in
Top 1k
1960 packages
found in
Top 10k
77.08k packages
in community

Next steps

Perform impact analysis for the reported CVEs.
Update the component to the latest version.
If the update can't resolve the issue, create a plan to isolate or replace the affected component.

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

7 packages
found in
Top 100
82 packages
found in
Top 1k
1208 packages
found in
Top 10k
109.57k 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. 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)
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

Prevalence in PyPI community

Behavior often found in this community (Common)
45 packages
found in
Top 100
306 packages
found in
Top 1k
2155 packages
found in
Top 10k
51.08k packages
in community

Top vulnerabilities

See all vulnerabilities
Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
1 (1 Fixable)
CVE-2024-39689h
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

FAQ for pinecone

What is pinecone?

Pinecone client and SDK.

Is pinecone malicious or is it safe to use?

The Python package pinecone 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 pinecone popular?

The Python package pinecone ranks among the top 10000 projects in this community. It has 91M 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 pinecone once it is in my app?

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