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-0.0.20b4.tar.gz (122.4 kB view details)

Uploaded Source

Built Distribution

cloudrail_knowledge-0.0.20b4-py3-none-any.whl (332.1 kB view details)

Uploaded Python 3

File details

Details for the file cloudrail-knowledge-0.0.20b4.tar.gz.

File metadata

  • Download URL: cloudrail-knowledge-0.0.20b4.tar.gz
  • Upload date:
  • Size: 122.4 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-0.0.20b4.tar.gz
Algorithm Hash digest
SHA256 8dcc74a49cbef46bb9a686375373150767105378adb27065d049f0f7dc124ccd
MD5 2e7a10c29d83f9eb0a705d48312520fd
BLAKE2b-256 b81474232b3fed78c9d1759ca877f61852cb2fc8d75f03485388537496753269

See more details on using hashes here.

File details

Details for the file cloudrail_knowledge-0.0.20b4-py3-none-any.whl.

File metadata

  • Download URL: cloudrail_knowledge-0.0.20b4-py3-none-any.whl
  • Upload date:
  • Size: 332.1 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-0.0.20b4-py3-none-any.whl
Algorithm Hash digest
SHA256 856dbc8ca5c89c20d1aa3f0842d161590a3ce98940aa30147c42cb009505e23f
MD5 97566dfb8d540c900ff1afd2f9dfd493
BLAKE2b-256 c7b1e6184bdf65e61fe2cabf7cd4ed7c4bfeb3eed0bec3c4a36a1ce16f6f7539

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