Bearbeiten der Konfiguration des Standardsetups

About editing your configuration of default setup

After running an initial analysis of your code with default setup, you may need to make changes to your configuration to better meet your needs. For existing configurations of default setup, you can edit:

• Which languages default setup will analyze.
• The query suite run during analysis. For more information on the available query suites, see CodeQL query suites.
• The threat models (public preview) to use for analysis. Your choice of threat model determines which sources of tainted data are treated as a risk to your application. During the public preview, threat models are supported only for analysis of Java/Kotlin and C#. For more information about threat models, see Including local sources of tainted data in default setup.

If your codebase depends on a library or framework that is not recognized by the standard libraries included with CodeQL, you can also extend the CodeQL coverage in default setup using CodeQL model packs. For more information, see Extending CodeQL coverage with CodeQL model packs in default setup.

If you need to change any other aspects of your code scanning configuration, consider configuring advanced setup. For more information, see Configuring advanced setup for code scanning.

Customizing your existing configuration of default setup

1. On GitHub, navigate to the main page of the repository.

2. Under your repository name, click Settings. If you cannot see the "Settings" tab, select the dropdown menu, then click Settings.

   

3. In the "Security" section of the sidebar, click Advanced Security.

4. In the "CodeQL analysis" row of the "Code Security" section, select , then click View CodeQL configuration.

5. In the "CodeQL default configuration" window, click Edit.

6. Optionally, in the "Languages" section, select or deselect languages for analysis.

7. Optionally, in the "Query suite" row of the "Scan settings" section, select a different query suite to run against your code.

8. Optionally, to use labeled runners, in the "Runner type" section of the "CodeQL default configuration" modal dialog, select Standard GitHub runner to open a dropdown menu, then select Labeled runner. Then, next to "Runner label", enter the label of an existing self-hosted or GitHub-hosted runner. For more information, see Configuring default setup for code scanning.

9. (Public preview) Optionally, in the "Threat model" row of the "Scan settings" section, select Remote and local sources. This option is only available for repositories with code in a supported language: Java/Kotlin and C#.

10. To update your configuration, as well as run an initial analysis of your code with the new configuration, click Save changes. All future analyses will use your new configuration.

Defining the alert severities that cause a check failure for a pull request

You can use rulesets to prevent pull requests from being merged when one of the following conditions is met:

• A required tool found a code scanning alert of a severity that is defined in a ruleset.

• A required code scanning tool's analysis is still in progress.

• A required code scanning tool is not configured for the repository.

For more information, see Set code scanning merge protection. For more general information about rulesets, see About rulesets.

Including local sources of tainted data in default setup

If your codebase only considers remote network requests to be potential sources of tainted data, then we recommend using the default threat model. If your codebase considers sources other than network requests to potentially contain tainted data, then you can use threat models to add these additional sources to your CodeQL analysis. During the public preview, you can add local sources (for example: command-line arguments, environment variables, file systems, and databases) that your codebase may consider to be additional sources of tainted data.

You can edit the threat model used in a default setup configuration. For more information, see Customizing your existing configuration of default setup.

Extending CodeQL coverage with CodeQL model packs in default setup

If your enterprise is hosted on GitHub.com and you use frameworks and libraries that are not recognized by the standard libraries included with CodeQL, you can model your dependencies and extend code scanning analysis. For more information, see Supported languages and frameworks in the documentation for CodeQL.

For default setup, you need to define the models of your additional dependencies in CodeQL model packs. You can extend coverage in default setup with CodeQL model packs for individual repositories, or at scale for all repositories in an organization.

For more information about CodeQL model packs and writing your own, see Using the CodeQL model editor.

Extending coverage for a repository

1. In the .github/codeql/extensions directory of the repository, copy the model pack directory which should include a codeql-pack.yml file and any .yml files containing additional models for the libraries or frameworks you wish to include in your analysis.
2. The model packs will be automatically detected and used in your code scanning analysis.
3. If you later change your configuration to use advanced setup, any model packs in the .github/codeql/extensions directory will still be recognized and used.

Extending coverage for all repositories in an organization

1. In the upper-right corner of GitHub, select your profile photo, then click Your organizations.

2. Under your organization name, click Settings. If you cannot see the "Settings" tab, select the dropdown menu, then click Settings.

   

3. In the "Security" section of the sidebar, click Advanced Security then Global settings.

4. Find the "Code scanning" section.

5. Next to "Expand CodeQL analysis", click Configure.

6. Enter references to the published model packs you want to use, one per line, then click Save.

   

7. The model packs will be automatically detected and used when code scanning runs on any repository in the organization with default setup enabled.