Dependabot alerts REST API is now available in public beta

You can now programmatically view and act on Dependabot alerts via the REST API. New endpoints to view, list, and update Dependabot alerts are available in a public beta.

For more information, see Dependabot alerts in the REST API reference or learn more about Dependabot alerts in our documentation.

GitHub Actions: All Actions will begin running on Node16 instead of Node12

Node 12 has been out of support since April 2022, as a result we have started the deprecation process of Node 12 for GitHub Actions. We plan to migrate all actions to run on Node16 by Summer 2023. We will monitor the progress of the migration and listen to the community for how things are going before we define a final date.
To raise awareness of the upcoming change, we are adding a warning into workflows which contain Actions running on Node 12. This will come into effect starting on September 27th.

What you need to do
For Actions maintainers: Update your actions to run on Node 16 instead of Node 12 (Actions configuration settings)
For Actions users: Update your workflows with latest versions of the actions which runs on Node 16 (Using versions for Actions)

See more

CodeQL for VS Code: download CodeQL databases from GitHub.com

We have started creating and storing CodeQL databases for the most popular open-source projects on GitHub.com. If you use CodeQL for security research, you can now obtain these databases easily and directly through the CodeQL extension for Visual Studio Code, which makes it much easier to write and run your own custom CodeQL queries.

Using CodeQL for security research

The CodeQL engine powers GitHub code scanning: it analyses source code and flags up potential security problems (for example, in pull requests). By default, code scanning runs a large set of open source queries that are able to identify the most important and common security problems.

CodeQL is also a powerful tool for variant analysis and other types of security research. CodeQL treats source code as data, and anyone can write custom CodeQL queries to explore a codebase and identify vulnerabilities. Like code search on steroids!

The first step of any CodeQL analysis is extracting the source code into a CodeQL database. This database contains a relational representation of the source code — including elements like the abstract syntax tree, the data flow graph, and the control flow graph. You can create CodeQL databases yourself using the CodeQL CLI, but with the feature we shipped today, it's much quicker to get started: you can download a ready-built CodeQL database from GitHub.com.

Downloading CodeQL databases from GitHub.com in VS Code

To download a CodeQL database for use in the CodeQL extension in VS Code:

  1. Make sure you have set up the CodeQL extension for VS Code. For more information, see Setting up CodeQL in Visual Studio Code.
  2. Open the CodeQL databases view in the extension.
  3. Hover over the sidebar, click the GitHub icon, and specify the owner/repo identifier of the public repository you'd like to analyze.

    image

Once you've downloaded a CodeQL database, you're ready to start your research. Find more information in the CodeQL documentation.

FAQs

How many CodeQL databases are available?

We currently store databases for over 200,000 repositories on GitHub.com. That list is constantly growing and evolving to make sure that it includes the most interesting codebases for security research.

What languages are can you download CodeQL databases for?

We create and store databases for all of the languages that we support in CodeQL code scanning. For more information, see About code scanning with CodeQL.

Can I download CodeQL databases outside VS Code?

Yes, you can also download CodeQL databases using the GitHub REST API. For more information, see Downloading databases from GitHub.com in the CodeQL CLI documentation.

Why is there no CodeQL codebase available for my favourite open source repository?

If there is a repository that you'd like to analyze, but a CodeQL database is not available yet, then you can trigger the creation (and storing) of a database by enabling GitHub code scanning with the CodeQL engine. Alternatively, you could fork the repository and enable code scanning on the fork. For more information, see the code scanning documentation.

See more
View all changes