About code scanning with CodeQL

CodeQL est le moteur d’analyse de code développé par GitHub pour automatiser les vérifications de sécurité. Vous pouvez analyser votre code à l’aide de CodeQL et afficher les résultats sous forme d’alertes d’code scanning.

There are three main ways to use CodeQL analysis for code scanning:

• Use default setup to quickly configure CodeQL analysis for code scanning on your repository. Default setup automatically chooses the languages to analyze, query suite to run, and events that trigger scans. If you prefer, you can manually select the query suite to run and languages to analyze. After you enable CodeQL, GitHub Actions will execute workflow runs to scan your code. For more information, see Définition de la configuration par défaut pour l’analyse du code.

• Use advanced setup to add the CodeQL workflow to your repository. This generates a customizable workflow file which uses the github/codeql-action to run the CodeQL CLI. For more information, see Configuration de la configuration par défaut pour l’analyse du code.

• Run the CodeQL CLI directly in an external CI system and upload the results to GitHub. For more information, see Utilisation de l'analyse du code avec votre système CI existant.

For information about code scanning alerts, see About code scanning alerts.

About CodeQL

CodeQL is a programming language and associated tools that treat code like data. It was created explicitly to make it easier to analyze code and find potential vulnerabilities in your code with greater confidence than traditional static analyzers.

1. You generate a CodeQL database to represent your codebase.
2. Then you run CodeQL queries on that database to identify problems in the codebase.
3. The query results are shown as code scanning alerts in GitHub when you use CodeQL with code scanning.

CodeQL supports both compiled and interpreted languages, and can find vulnerabilities and errors in code that's written in the supported languages.

CodeQL supports the following languages:

• C/C++
• C#
• Go
• Java/Kotlin
• JavaScript/TypeScript
• Python
• Ruby
• Rust
• Workflows rapides * GitHub Actions

Pour plus d’informations, consultez la documentation disponible sur le site web de CodeQL : Langages et frameworks pris en charge.

Modeling custom or niche frameworks

GitHub experts, security researchers, and community contributors write libraries to model the flow of data in popular frameworks and libraries. If you use custom dependencies that aren't modeled, then you can use the CodeQL extension for Visual Studio Code to create models for these dependencies and use them to extend your analysis. For more information, see Utiliser l'éditeur de modèles CodeQL.

CodeQL queries

GitHub experts, security researchers, and community contributors write and maintain the default CodeQL queries used for code scanning. The queries are regularly updated to improve analysis and reduce any false positive results.

Writing your own queries

The queries are open source, so you can view and contribute to the queries in the github/codeql repository. For more information, see About CodeQL queries in the CodeQL documentation.

Running additional queries

If you are scanning your code with advanced setup or an external CI system, you can run additional queries as part of your analysis.

These queries must belong to a published CodeQL query pack or a CodeQL pack in a repository.

• When a CodeQL query pack is published to the GitHub Container registry, all the transitive dependencies required by the queries and a compilation cache are included in the package. This improves performance and ensures that running the queries in the pack gives identical results every time until you upgrade to a new version of the pack or the CLI.

• CodeQL query packs can be downloaded from multiple GitHub container registries. For more information, see Personnalisation de votre configuration avancée pour l’analyse de code.

For more information, see Personnalisation de l’analyse avec des packs CodeQL.