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Secret scanning shows metrics for push protection at the organization level

Organization owners and security managers can now view metrics associated with push protection usage across their organization.

The overview shows a summary of how many pushes containing secrets have been successfully blocked across the organization by push protection, as well as how many times push protection was bypassed.

You can also find more granular metrics, including:

  • the secret types that have been blocked or bypassed the most
  • the repositories that have had the most pushes blocked
  • the repositories that are bypassing push protection the most
  • the percentage distribution of reasons that users give when they bypass the protection

These metrics are found under the Security tab of your organization and are based on activity from the last 30 days.

screenshot of push protection metrics, showing overall secrets blocked and details on most blocked types, repositories with most pushes blocked, and bypassed secret metrics

Code scanning default setup is now available for Swift

Code scanning default setup is now available for Swift analysis with CodeQL! Default setup now supports all CodeQL supported languages at the repository level. This includes JavaScript/TypeScript, Ruby, Python, Go, Java, Kotlin, C/C++, C#, and Swift. We're working to support enabling code scanning at the organization level for all CodeQL languages soon.

Default setup automatically detects the languages used in a repository, and automatically analyzes JavaScript/TypeScript, Ruby, Python, and Go. You can also optionally customize the configuration to analyze Java/Kotlin, C/C++, C# and Swift. The configuration can be viewed and edited at any time, during or after set up. You can also use the REST API to include languages in the default setup configuration.

Java, Kotlin, C/C++, C# and Swift are not automatically included in the default setup configuration because they often require more advanced configuration. Code written in these languages needs to be compiled in order for CodeQL analysis to proceed. CodeQL will attempt to build your code automatically but may fail if your code requires bespoke build steps.

If a language fails in default setup, you will see an error message on the repository's settings page, in the code security and analysis section. To resolve the situation you can:

  1. Deselect the language from the configuration and continue to use default setup for the successful languages.
  2. Convert to advanced setup. The advanced setup uses a yml file and allows you to provide the build information required for the CodeQL analysis to succeed.
  3. Debug and fix the cause of the language failure. The Actions log will provide the failure reason so you can resolve this for a successful analysis.

For more information, see the documentation for when a particular language is causing default setup to fail. For more information on code scanning default setup, see Configuring code scanning automatically.

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Get global security advisories via REST API

You can now use the REST API to get global security advisories from the Advisory Database. This makes it easy to get access to the Advisory Database's free, open source list of actionable security advisories and CVEs which include machine readable mappings to the ecosystem, package name, and affected versions of impacted software.

Learn more about GitHub's global security advisories and the Advisory Database.

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