Note: Your site administrator must enable 代� �扫描 for 您的 GitHub Enterprise Server 实例 before you can use this feature. For more information, see "Configuring 代� �扫描 for your appliance."
About 代� �扫描 with CodeQL
CodeQL 是由 GitHub 开发的代� �分析引擎，用于自动执行安全检查。 可以使用 CodeQL 分析代� �，并将结果显示为 代� �扫描 警报。
There are two main ways to use CodeQL analysis for 代� �扫描:
- Add the CodeQL workflow to your repository. This uses the github/codeql-action to run the CodeQL CLI. For more information, see "Setting up 代� �扫描 for a repository."
- Run the CodeQL CLI directly in an external CI system and upload the results to GitHub. For more information, see "About CodeQL code scanning in your CI system ."
About CodeQL
CodeQL treats code like data, allowing you to find potential vulnerabilities in your code with greater confidence than traditional static analyzers.
- You generate a CodeQL database to represent your codebase.
- Then you run CodeQL queries on that database to identify problems in the codebase.
- The query results are shown as 代� �扫描 alerts in GitHub Enterprise Server when you use CodeQL with 代� �扫描.
CodeQL supports both compiled and interpreted languages, and can find vulnerabilities and errors in code that's written in the supported languages.
- C/C++
- C#
- Go
- Java
- JavaScript/TypeScript
- Python
About CodeQL queries
GitHub experts, security researchers, and community contributors write and maintain the default CodeQL queries used for 代� �扫描. The queries are regularly updated to improve analysis and reduce any false positive results. The queries are open source, so you can view and contribute to the queries in the github/codeql repository. For more information, see CodeQL on the CodeQL website. You can also write your own queries. For more information, see "About CodeQL queries" in the CodeQL documentation.
You can run additional queries as part of your code scanning analysis.
The queries you want to run must belong to a QL pack in a repository. Queries must only depend on the standard libraries (that is, the libraries referenced by an import LANGUAGE statement in your query), or libraries in the same QL pack as the query. For more information, see "About QL packs."