Spectra Assure
Community
failRisk: Vulnerabilities
Scanned: 9 days ago

snowflake-ml-python

Artifact:
latest
Top 10k
The machine learning client library that is used for interacting with Snowflake to build machine learning solutions.
License: unknown
Published: 24 days ago
Visit GitHub
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
1 severe vulnerabilities exploited
Hardening
No application hardening issues

Threats

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

INCIDENTS FOR THIS VERSION:

Popularity

3.46M
Total Downloads
1
Contributor
63
Declared Dependencies
8
Dependents

Top issues

See all issues

Problem

Software composition analysis has identified a component with one or more known severe vulnerabilities. Available threat intelligence telemetry has confirmed that the reported high or critical severity vulnerabilities are actively being exploited by malicious actors.

Prevalence in PyPI community

35 packages
found in
Top 100
210 packages
found in
Top 1k
1787 packages
found in
Top 10k
86.39k packages
in community

Next steps

We strongly advise updating 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 composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as critical severity.

Prevalence in PyPI community

27 packages
found in
Top 100
156 packages
found in
Top 1k
1294 packages
found in
Top 10k
58.62k packages
in community

Next steps

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

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
36 packages
found in
Top 100
281 packages
found in
Top 1k
1802 packages
found in
Top 10k
66.4k packages
in community

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)
69 packages
found in
Top 100
506 packages
found in
Top 1k
3612 packages
found in
Top 10k
163.85k 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

Top vulnerabilities

See all vulnerabilities
Vulnerability Exploitation Lifecycle
(19 Active Vulnerabilities)
None
1 (0 Fixable)
CVE-2020-13092c
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

FAQ for snowflake-ml-python

What is snowflake-ml-python?

The machine learning client library that is used for interacting with Snowflake to build machine learning solutions.

Is snowflake-ml-python malicious or is it safe to use?

The Python package snowflake-ml-python 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 snowflake-ml-python popular?

The Python package snowflake-ml-python ranks among the top 10000 projects in this community. It has 3M 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 snowflake-ml-python once it is in my app?

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