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pydata-google-auth

Artifact:
latest
Top 1k
PyData helpers for authenticating to Google APIs
License: unknown
Published: 11 months 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

Popularity

818.3M
Total Downloads
1
Contributor
3
Declared Dependencies
31
Dependents

Top issues

See all issues

Problem

Private keys and certificates are considered sensitive information that should not be included in released software packages. However, developers frequently release sensitive information alongside their applications to facilitate automated software testing. Testing keys and certificates often proliferate through the software supply chain. When such information gets shared publicly, it is catalogued by file reputation databases. Any private key and certificate files seen by a file reputation database prior to configured time threshold can be automatically suppressed. Commonly shared sensitive information is not considered to be secret.

Prevalence in PyPI community

37 packages
found in
Top 100
169 packages
found in
Top 1k
753 packages
found in
Top 10k
16.54k packages
in community

Next steps

Review the commonly shared sensitive information for evidence of inadvertently exposed secrets.
If the keys were published unintentionally and the software has been made public, you should revoke the keys and file a security incident.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
10 packages
found in
Top 100
78 packages
found in
Top 1k
317 packages
found in
Top 10k
9.18k 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)
4 packages
found in
Top 100
54 packages
found in
Top 1k
250 packages
found in
Top 10k
4.26k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
19 packages
found in
Top 100
170 packages
found in
Top 1k
938 packages
found in
Top 10k
23.27k 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

Top vulnerabilities

No vulnerabilities found.

FAQ for pydata-google-auth

What is pydata-google-auth?

PyData helpers for authenticating to Google APIs. For more information about this package, visit its homepage.

Is pydata-google-auth malicious or is it safe to use?

The Python package pydata-google-auth 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 pydata-google-auth popular?

The Python package pydata-google-auth ranks among the top 1000 projects in this community. It has 818M 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 pydata-google-auth once it is in my app?

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