Spectra Assure
Community
warningRisk: Secrets
Scanned: 1 day ago

google-cloud-bigquery-connection

Artifact:
latest
Top 10k
Google Cloud Bigquery Connection API client library
License: Permissive (Apache-2.0)
Published: 3 months ago
Visit GitHub
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
3 web service credentials 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

4.95M
Total Downloads
1
Contributor
8
Declared Dependencies
8
Dependents

Top issues

See all issues

Problem

Various network communication protocols allow including plaintext authentication credentials. Information such as user names and passwords could be passed through a non-encrypted channel, and therefore intercepted by malicious actors. Credentials are considered secrets, and should be kept encrypted until they are used. This policy control matches the following URI pattern protocol://username:password@domain within any software package component.

Prevalence in PyPI community

21 packages
found in
Top 100
86 packages
found in
Top 1k
378 packages
found in
Top 10k
7.36k packages
in community

Next steps

Review the reported matches. If the warning refers to a placeholder credential value, it can be safely ignored.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
26 packages
found in
Top 100
118 packages
found in
Top 1k
563 packages
found in
Top 10k
12.66k 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)
51 packages
found in
Top 100
408 packages
found in
Top 1k
2829 packages
found in
Top 10k
106.17k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
73 packages
found in
Top 100
614 packages
found in
Top 1k
4460 packages
found in
Top 10k
173.79k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
67 packages
found in
Top 100
586 packages
found in
Top 1k
4061 packages
found in
Top 10k
146.39k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for google-cloud-bigquery-connection

What is google-cloud-bigquery-connection?

Google Cloud Bigquery Connection API client library. For more information about this package, visit its homepage.

Is google-cloud-bigquery-connection malicious or is it safe to use?

The Python package google-cloud-bigquery-connection 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 google-cloud-bigquery-connection popular?

The Python package google-cloud-bigquery-connection ranks among the top 10000 projects in this community. It has 5M 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-bigquery-connection once it is in my app?

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