Python support for Declarative Automation Bundles.
The Python package databricks-bundles 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.
The Python package databricks-bundles 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.
Since we can't know when or where malicious attacks will happen, we recommend tracking how databricks-bundles behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a databricks-bundles version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.
... 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.