Skip to main content

Cloudrail's package for security rules

Project description

CD PyPI GitHub license PRs Welcome

Cloudrail Knowledge

Cloudrail is a tool for doing security analysis of infrastructure-as-code before its deployment. For example Cloudrail can inspect Terraform plans and identify configurations that violate company policy and best practices, and stop the CI pipeline accordingly.

This repository contains the rules that Cloudrail runs to conduct this analysis, as well as the context model the rules evaluate against. You can use this repository for a few purposes:

  1. Review the rules Cloudrail has and how they work.
  2. Propose additions/changes to rules (just open a PR).
  3. Build your own custom rules using the same context model existing rules use (for examples see cloudrail-sample-custom-rules)

Want to understand how Cloudrail's knowledge works? Our documentation is available at https://knowledge.docs.cloudrail.app/.

Contributing

We welcome all contributions. Simply open an issue and a PR with your additions or changes. Some requirements:

  • Branch names should be <ticket-id>_<what_it's_trying_to_solve>. Such as issue_40_add_docdb_encryption_rule or 40_add_docdb_encryption_rule.
  • Any rule must have tests, see the tests directory on how these are built.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cloudrail-knowledge-0.0.19b3.tar.gz (117.8 kB view details)

Uploaded Source

Built Distribution

cloudrail_knowledge-0.0.19b3-py3-none-any.whl (325.6 kB view details)

Uploaded Python 3

File details

Details for the file cloudrail-knowledge-0.0.19b3.tar.gz.

File metadata

  • Download URL: cloudrail-knowledge-0.0.19b3.tar.gz
  • Upload date:
  • Size: 117.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for cloudrail-knowledge-0.0.19b3.tar.gz
Algorithm Hash digest
SHA256 56a476d2274e0558128cc9cbded03cf5c0654914ee0bca848fa7ceb859ab805a
MD5 0808f82987cfeb900e50abca8da52c51
BLAKE2b-256 b73b179ae86f3de75bf7e71b6e9956b32c54b6a6c0998d72b6a121d8698556da

See more details on using hashes here.

File details

Details for the file cloudrail_knowledge-0.0.19b3-py3-none-any.whl.

File metadata

  • Download URL: cloudrail_knowledge-0.0.19b3-py3-none-any.whl
  • Upload date:
  • Size: 325.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for cloudrail_knowledge-0.0.19b3-py3-none-any.whl
Algorithm Hash digest
SHA256 deb64d475b1a77b6ab2a059fe11a13db97602e57ec2d7ee7197f41ad7890f7ea
MD5 4ec3968d03983e22079d9dcf63c1111e
BLAKE2b-256 690d52c6d82bbd0e255f42034bf5c8b840a8a6a3b712cdee4503744bd761b1f8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page